Azure Data Factory (ADF), Azure Databricks with Python experience
Specifically looking for hands-on experience in Databricks Delta Live Tables (DLT), Expectations, Workflows Orchestration are extensively used on ADI Data Engineering side along with PySparK programming and also Unity Catalog feature"
Good to know Azure Synapse, snowflake
Decent communication skills
Able to collaborate with multiple project teams
Excellent stakeholder management skills
Essential Skills:
Azure Data Factory (ADF), Azure Databricks with Python experience
Specifically looking for hands-on experience in Databricks Delta Live Tables (DLT), Expectations, Workflows Orchestration are extensively used on ADI Data Engineering side along with PySparK programming and also Unity Catalog feature"
Good to know Azure Synapse, snowflake
Decent communication skills
Able to collaborate with multiple project teams
Excellent stakeholder management skills
Desirable Skills:
1. Mounting Files
2. PAT Tokens
3. Cluster Auto scaling
4. Cluster Types
5. Nesting notebooks
6. Reading file using default and custom schema
7. Types Secrets and scopes in databricks
8. Delta Tables
9. Basic file loading scenario with its steps
10. Optimization (if candidate experience 3 yrs)
11. User defined functions
12. Transformations
ADF: 1. Integration runtimes familiar with and where they are used
2. Components in creating pipelines
3. Scenario based question for creating a basic pipeline for loading data to Azure SQL table
4. Basic steps to improve the loading activity of a huge amount of file, ex: 1TB file size
Responsibilities
Azure Data Factory (ADF), Azure Databricks with Python experience
Specifically looking for hands-on experience in Databricks Delta Live Tables (DLT), Expectations, Workflows Orchestration are extensively used on ADI Data Engineering side along with PySparK programming and also Unity Catalog feature"
Good to know Azure Synapse, snowflake
Decent communication skills
Able to collaborate with multiple project teams
Excellent stakeholder management skills
Essential Skills:
Azure Data Factory (ADF), Azure Databricks with Python experience
Specifically looking for hands-on experience in Databricks Delta Live Tables (DLT), Expectations, Workflows Orchestration are extensively used on ADI Data Engineering side along with PySparK programming and also Unity Catalog feature"
Good to know Azure Synapse, snowflake
Decent communication skills
Able to collaborate with multiple project teams
Excellent stakeholder management skills
Desirable Skills:
1. Mounting Files
2. PAT Tokens
3. Cluster Auto scaling
4. Cluster Types
5. Nesting notebooks
6. Reading file using default and custom schema
7. Types Secrets and scopes in databricks
8. Delta Tables
9. Basic file loading scenario with its steps
10. Optimization (if candidate experience 3 yrs)
11. User defined functions
12. Transformations
ADF: 1. Integration runtimes familiar with and where they are used
2. Components in creating pipelines
3. Scenario based question for creating a basic pipeline for loading data to Azure SQL table
4. Basic steps to improve the loading activity of a huge amount of file, ex: 1TB file size
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Recommends and contributes to software engineering best practices, including those that have enterprise-wide impact• Accountable for the quality, TCO, maintainability and security of a component or application• Capable of leading regular, ongoing development projects and teams• Accountable for the quality, TCO, maintainability and security of key components or applications Contributes to specific elements of the GTS Technical strategy• Makes decisions that are cognizant of the firm’s broader business strategy and future priorities• Recommends solutions aligned with T Rowe Price’s Global Technology and business unit strategies and standards"
Essential Skills: "• Bachelors or Master’s degree (or the equivalent combination of education and relevant experience) and 8+ years of progressive software engineering and leadership experience.• Proven ability to design, code, test, and implement flexible, extensible, scalable, reliable, and integrated SaaS platforms that can support diverse ecosystems of applications, users, delivery models (B2C, B2B2C) and business channels• Demonstrates master hands-on capability to drive components to delivery using Java, Spring Boot and Jersey REST APIs• Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately• Converses in many technologies and learns new technologies quickly• Demonstrates deep experience in automated testing and techniques• Defines testing strategy for products and ensures adherence to strategy• Sets standards for code reviews• Provides oversight of all development activities on assigned projects• Debugs any system, even those not written by themselves• Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches other around such practices• Owns technical debt for multiple components or systems• Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience"
Desirable Skills: Bachelors or Master’s degree (or the equivalent combination of education and relevant experience) and 8+ years of progressive software engineering and leadership experience.• Proven ability to design, code, test, and implement flexible, extensible, scalable, reliable, and integrated SaaS platforms that can support diverse ecosystems of applications, users, delivery models (B2C, B2B2C) and business channels• Demonstrates master hands-on capability to drive components to delivery using Java, Spring Boot and Jersey REST APIs• Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately• Converses in many technologies and learns new technologies quickly• Demonstrates deep experience in automated testing and techniques• Defines testing strategy for products and ensures adherence to strategy• Sets standards for code reviews• Provides oversight of all development activities on assigned projects• Debugs any system, even those not written by themselves• Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches other around such practices• Owns technical debt for multiple components or systems• Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience"
Responsibilities
• Recommends and contributes to software engineering best practices, including those that have enterprise-wide impact• Accountable for the quality, TCO, maintainability and security of a component or application• Capable of leading regular, ongoing development projects and teams• Accountable for the quality, TCO, maintainability and security of key components or applications Contributes to specific elements of the GTS Technical strategy• Makes decisions that are cognizant of the firm’s broader business strategy and future priorities• Recommends solutions aligned with T Rowe Price’s Global Technology and business unit strategies and standards"
Essential Skills: "• Bachelors or Master’s degree (or the equivalent combination of education and relevant experience) and 8+ years of progressive software engineering and leadership experience.• Proven ability to design, code, test, and implement flexible, extensible, scalable, reliable, and integrated SaaS platforms that can support diverse ecosystems of applications, users, delivery models (B2C, B2B2C) and business channels• Demonstrates master hands-on capability to drive components to delivery using Java, Spring Boot and Jersey REST APIs• Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately• Converses in many technologies and learns new technologies quickly• Demonstrates deep experience in automated testing and techniques• Defines testing strategy for products and ensures adherence to strategy• Sets standards for code reviews• Provides oversight of all development activities on assigned projects• Debugs any system, even those not written by themselves• Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches other around such practices• Owns technical debt for multiple components or systems• Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience"
Desirable Skills: Bachelors or Master’s degree (or the equivalent combination of education and relevant experience) and 8+ years of progressive software engineering and leadership experience.• Proven ability to design, code, test, and implement flexible, extensible, scalable, reliable, and integrated SaaS platforms that can support diverse ecosystems of applications, users, delivery models (B2C, B2B2C) and business channels• Demonstrates master hands-on capability to drive components to delivery using Java, Spring Boot and Jersey REST APIs• Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately• Converses in many technologies and learns new technologies quickly• Demonstrates deep experience in automated testing and techniques• Defines testing strategy for products and ensures adherence to strategy• Sets standards for code reviews• Provides oversight of all development activities on assigned projects• Debugs any system, even those not written by themselves• Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches other around such practices• Owns technical debt for multiple components or systems• Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience"
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are seeking a highly skilled Architect & Tech Lead with extensive experience in Python microservices development and Google Cloud Platform (GCP). The ideal candidate will have strong expertise in designing, developing, and deploying scalable and efficient microservices using Poetry, FastAPI, Flask API, and Gunicorn. They will also have deep experience in managing and deploying cloud services on Google PaaS (Cloud Run, App Engine, Cloud Build & Run) and handling databases such as PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub.Key Responsibilities:Lead the architecture, design, and development of Python-based microservices using FastAPI, Flask API, Poetry, and Gunicorn.Develop and optimize cloud-native applications for scalability and performance on Google Cloud Platform (GCP).Design and implement secure, scalable, and efficient APIs and microservices.Deploy, manage, and monitor applications on Google Cloud Run, App Engine, and Cloud Build & Run.Ensure high availability and reliability of cloud-based services.Work with PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub to design efficient, scalable, and reliable data solutions.Define best practices and standards for cloud-native development and CI/CD pipelines.Guide and mentor development teams to ensure high-quality code and best coding practices.Troubleshoot performance bottlenecks, optimize database queries, and implement caching strategies.Collaborate with cross-functional teams to define, design, and ship new features efficiently.Required Skills & Qualifications:8+ years of hands-on experience in Python development with a focus on microservices.Expertise in FastAPI, Flask API, Poetry, and Gunicorn.Strong experience in Google Cloud PaaS, including Cloud Run, App Engine, Cloud Build & Run.Database expertise in PostgreSQL, Google Redis, Firestore, and BigQuery.Hands-on experience with Google Pub/Sub for event-driven architectures.Proficiency in designing and implementing scalable and resilient APIs.Experience with CI/CD pipelines, containerization (Docker), and Kubernetes (GKE is a plus).Strong understanding of cloud security best practices and authentication mechanisms (OAuth, JWT, IAM, etc.).Proven ability to optimize high-performance distributed applications.Strong problem-solving, analytical, and debugging skills.Excellent communication and leadership skills with experience in mentoring and guiding teams.Preferred Skills:Experience with Terraform or Infrastructure as Code (IaC) for GCP deployments.Knowledge of AI/ML pipelines on GCP is a plus.Hands-on experience with serverless architectures and event-driven development.Experience in implementing observability tools (logging, monitoring, tracing).
Essential Skills: We are seeking a highly skilled Architect & Tech Lead with extensive experience in Python microservices development and Google Cloud Platform (GCP). The ideal candidate will have strong expertise in designing, developing, and deploying scalable and efficient microservices using Poetry, FastAPI, Flask API, and Gunicorn. They will also have deep experience in managing and deploying cloud services on Google PaaS (Cloud Run, App Engine, Cloud Build & Run) and handling databases such as PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub.Key Responsibilities:Lead the architecture, design, and development of Python-based microservices using FastAPI, Flask API, Poetry, and Gunicorn.Develop and optimize cloud-native applications for scalability and performance on Google Cloud Platform (GCP).Design and implement secure, scalable, and efficient APIs and microservices.Deploy, manage, and monitor applications on Google Cloud Run, App Engine, and Cloud Build & Run.Ensure high availability and reliability of cloud-based services.Work with PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub to design efficient, scalable, and reliable data solutions.Define best practices and standards for cloud-native development and CI/CD pipelines.Guide and mentor development teams to ensure high-quality code and best coding practices.Troubleshoot performance bottlenecks, optimize database queries, and implement caching strategies.Collaborate with cross-functional teams to define, design, and ship new features efficiently.Required Skills & Qualifications:8+ years of hands-on experience in Python development with a focus on microservices.Expertise in FastAPI, Flask API, Poetry, and Gunicorn.Strong experience in Google Cloud PaaS, including Cloud Run, App Engine, Cloud Build & Run.Database expertise in PostgreSQL, Google Redis, Firestore, and BigQuery.Hands-on experience with Google Pub/Sub for event-driven architectures.Proficiency in designing and implementing scalable and resilient APIs.Experience with CI/CD pipelines, containerization (Docker), and Kubernetes (GKE is a plus).Strong understanding of cloud security best practices and authentication mechanisms (OAuth, JWT, IAM, etc.).Proven ability to optimize high-performance distributed applications.Strong problem-solving, analytical, and debugging skills.Excellent communication and leadership skills with experience in mentoring and guiding teams.Preferred Skills:Experience with Terraform or Infrastructure as Code (IaC) for GCP deployments.Knowledge of AI/ML pipelines on GCP is a plus.Hands-on experience with serverless architectures and event-driven development.Experience in implementing observability tools (logging, monitoring, tracing).
Desirable Skills: We are seeking a highly skilled Architect & Tech Lead with extensive experience in Python microservices development and Google Cloud Platform (GCP). The ideal candidate will have strong expertise in designing, developing, and deploying scalable and efficient microservices using Poetry, FastAPI, Flask API, and Gunicorn. They will also have deep experience in managing and deploying cloud services on Google PaaS (Cloud Run, App Engine, Cloud Build & Run) and handling databases such as PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub.Key Responsibilities:Lead the architecture, design, and development of Python-based microservices using FastAPI, Flask API, Poetry, and Gunicorn.Develop and optimize cloud-native applications for scalability and performance on Google Cloud Platform (GCP).Design and implement secure, scalable, and efficient APIs and microservices.Deploy, manage, and monitor applications on Google Cloud Run, App Engine, and Cloud Build & Run.Ensure high availability and reliability of cloud-based services.Work with PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub to design efficient, scalable, and reliable data solutions.Define best practices and standards for cloud-native development and CI/CD pipelines.Guide and mentor development teams to ensure high-quality code and best coding practices.Troubleshoot performance bottlenecks, optimize database queries, and implement caching strategies.Collaborate with cross-functional teams to define, design, and ship new features efficiently.Required Skills & Qualifications:8+ years of hands-on experience in Python development with a focus on microservices.Expertise in FastAPI, Flask API, Poetry, and Gunicorn.Strong experience in Google Cloud PaaS, including Cloud Run, App Engine, Cloud Build & Run.Database expertise in PostgreSQL, Google Redis, Firestore, and BigQuery.Hands-on experience with Google Pub/Sub for event-driven architectures.Proficiency in designing and implementing scalable and resilient APIs.Experience with CI/CD pipelines, containerization (Docker), and Kubernetes (GKE is a plus).Strong understanding of cloud security best practices and authentication mechanisms (OAuth, JWT, IAM, etc.).Proven ability to optimize high-performance distributed applications.Strong problem-solving, analytical, and debugging skills.Excellent communication and leadership skills with experience in mentoring and guiding teams.Preferred Skills:Experience with Terraform or Infrastructure as Code (IaC) for GCP deployments.Knowledge of AI/ML pipelines on GCP is a plus.Hands-on experience with serverless architectures and event-driven development.Experience in implementing observability tools (logging, monitoring, tracing).
Responsibilities
We are seeking a highly skilled Architect & Tech Lead with extensive experience in Python microservices development and Google Cloud Platform (GCP). The ideal candidate will have strong expertise in designing, developing, and deploying scalable and efficient microservices using Poetry, FastAPI, Flask API, and Gunicorn. They will also have deep experience in managing and deploying cloud services on Google PaaS (Cloud Run, App Engine, Cloud Build & Run) and handling databases such as PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub.Key Responsibilities:Lead the architecture, design, and development of Python-based microservices using FastAPI, Flask API, Poetry, and Gunicorn.Develop and optimize cloud-native applications for scalability and performance on Google Cloud Platform (GCP).Design and implement secure, scalable, and efficient APIs and microservices.Deploy, manage, and monitor applications on Google Cloud Run, App Engine, and Cloud Build & Run.Ensure high availability and reliability of cloud-based services.Work with PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub to design efficient, scalable, and reliable data solutions.Define best practices and standards for cloud-native development and CI/CD pipelines.Guide and mentor development teams to ensure high-quality code and best coding practices.Troubleshoot performance bottlenecks, optimize database queries, and implement caching strategies.Collaborate with cross-functional teams to define, design, and ship new features efficiently.Required Skills & Qualifications:8+ years of hands-on experience in Python development with a focus on microservices.Expertise in FastAPI, Flask API, Poetry, and Gunicorn.Strong experience in Google Cloud PaaS, including Cloud Run, App Engine, Cloud Build & Run.Database expertise in PostgreSQL, Google Redis, Firestore, and BigQuery.Hands-on experience with Google Pub/Sub for event-driven architectures.Proficiency in designing and implementing scalable and resilient APIs.Experience with CI/CD pipelines, containerization (Docker), and Kubernetes (GKE is a plus).Strong understanding of cloud security best practices and authentication mechanisms (OAuth, JWT, IAM, etc.).Proven ability to optimize high-performance distributed applications.Strong problem-solving, analytical, and debugging skills.Excellent communication and leadership skills with experience in mentoring and guiding teams.Preferred Skills:Experience with Terraform or Infrastructure as Code (IaC) for GCP deployments.Knowledge of AI/ML pipelines on GCP is a plus.Hands-on experience with serverless architectures and event-driven development.Experience in implementing observability tools (logging, monitoring, tracing).
Essential Skills: We are seeking a highly skilled Architect & Tech Lead with extensive experience in Python microservices development and Google Cloud Platform (GCP). The ideal candidate will have strong expertise in designing, developing, and deploying scalable and efficient microservices using Poetry, FastAPI, Flask API, and Gunicorn. They will also have deep experience in managing and deploying cloud services on Google PaaS (Cloud Run, App Engine, Cloud Build & Run) and handling databases such as PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub.Key Responsibilities:Lead the architecture, design, and development of Python-based microservices using FastAPI, Flask API, Poetry, and Gunicorn.Develop and optimize cloud-native applications for scalability and performance on Google Cloud Platform (GCP).Design and implement secure, scalable, and efficient APIs and microservices.Deploy, manage, and monitor applications on Google Cloud Run, App Engine, and Cloud Build & Run.Ensure high availability and reliability of cloud-based services.Work with PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub to design efficient, scalable, and reliable data solutions.Define best practices and standards for cloud-native development and CI/CD pipelines.Guide and mentor development teams to ensure high-quality code and best coding practices.Troubleshoot performance bottlenecks, optimize database queries, and implement caching strategies.Collaborate with cross-functional teams to define, design, and ship new features efficiently.Required Skills & Qualifications:8+ years of hands-on experience in Python development with a focus on microservices.Expertise in FastAPI, Flask API, Poetry, and Gunicorn.Strong experience in Google Cloud PaaS, including Cloud Run, App Engine, Cloud Build & Run.Database expertise in PostgreSQL, Google Redis, Firestore, and BigQuery.Hands-on experience with Google Pub/Sub for event-driven architectures.Proficiency in designing and implementing scalable and resilient APIs.Experience with CI/CD pipelines, containerization (Docker), and Kubernetes (GKE is a plus).Strong understanding of cloud security best practices and authentication mechanisms (OAuth, JWT, IAM, etc.).Proven ability to optimize high-performance distributed applications.Strong problem-solving, analytical, and debugging skills.Excellent communication and leadership skills with experience in mentoring and guiding teams.Preferred Skills:Experience with Terraform or Infrastructure as Code (IaC) for GCP deployments.Knowledge of AI/ML pipelines on GCP is a plus.Hands-on experience with serverless architectures and event-driven development.Experience in implementing observability tools (logging, monitoring, tracing).
Desirable Skills: We are seeking a highly skilled Architect & Tech Lead with extensive experience in Python microservices development and Google Cloud Platform (GCP). The ideal candidate will have strong expertise in designing, developing, and deploying scalable and efficient microservices using Poetry, FastAPI, Flask API, and Gunicorn. They will also have deep experience in managing and deploying cloud services on Google PaaS (Cloud Run, App Engine, Cloud Build & Run) and handling databases such as PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub.Key Responsibilities:Lead the architecture, design, and development of Python-based microservices using FastAPI, Flask API, Poetry, and Gunicorn.Develop and optimize cloud-native applications for scalability and performance on Google Cloud Platform (GCP).Design and implement secure, scalable, and efficient APIs and microservices.Deploy, manage, and monitor applications on Google Cloud Run, App Engine, and Cloud Build & Run.Ensure high availability and reliability of cloud-based services.Work with PostgreSQL, Google Redis, Firestore, BigQuery, and Pub/Sub to design efficient, scalable, and reliable data solutions.Define best practices and standards for cloud-native development and CI/CD pipelines.Guide and mentor development teams to ensure high-quality code and best coding practices.Troubleshoot performance bottlenecks, optimize database queries, and implement caching strategies.Collaborate with cross-functional teams to define, design, and ship new features efficiently.Required Skills & Qualifications:8+ years of hands-on experience in Python development with a focus on microservices.Expertise in FastAPI, Flask API, Poetry, and Gunicorn.Strong experience in Google Cloud PaaS, including Cloud Run, App Engine, Cloud Build & Run.Database expertise in PostgreSQL, Google Redis, Firestore, and BigQuery.Hands-on experience with Google Pub/Sub for event-driven architectures.Proficiency in designing and implementing scalable and resilient APIs.Experience with CI/CD pipelines, containerization (Docker), and Kubernetes (GKE is a plus).Strong understanding of cloud security best practices and authentication mechanisms (OAuth, JWT, IAM, etc.).Proven ability to optimize high-performance distributed applications.Strong problem-solving, analytical, and debugging skills.Excellent communication and leadership skills with experience in mentoring and guiding teams.Preferred Skills:Experience with Terraform or Infrastructure as Code (IaC) for GCP deployments.Knowledge of AI/ML pipelines on GCP is a plus.Hands-on experience with serverless architectures and event-driven development.Experience in implementing observability tools (logging, monitoring, tracing).
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Platform Administration: Implement, and maintain the Databricks platform, including workspace setup, user and group management, access control, and security configurations.Operational Support: Provide technical support to data engineering, data science, and application teams. Perform restores/recoveries, troubleshoot service issues, and resolve platform-related problems.Cluster Management: Install, config-ure, and maintain Databricks clusters and workspaces. Monitor and manage cluster performance, re-source utilization, and platform costs.Security and Compliance: Implement and manage access controls and security policies to protect sensitive data. Ensure compliance with relevant data governance and regu-latory requirements.Integration: Manage and maintain connections between Databricks and other data sources like Snowflake. Optimize data pipelines and workflows.Automation: Develop and maintain automa-tion scripts and tools for platform provisioning and routine tasks using Terraform.
Essential Skill:
- Terraform, AWS cloud services, Databricks administration- AWS IAM, VPC, private endpoints, firewalls, S3 and knowledge on how Databricks integrates with them- MLflow, Workflows, Databricks Asset Bundles- Databricks REST API: For automation, scripting, and integration- dbx CLI: For CI/CD integration- Delta Live Tables (DLT): For managing streaming and batch pipelines- SQL + PySpark skills to debug and support.
Desirable Skill :
Databricks certification
Responsibilities
Platform Administration: Implement, and maintain the Databricks platform, including workspace setup, user and group management, access control, and security configurations.Operational Support: Provide technical support to data engineering, data science, and application teams. Perform restores/recoveries, troubleshoot service issues, and resolve platform-related problems.Cluster Management: Install, config-ure, and maintain Databricks clusters and workspaces. Monitor and manage cluster performance, re-source utilization, and platform costs.Security and Compliance: Implement and manage access controls and security policies to protect sensitive data. Ensure compliance with relevant data governance and regu-latory requirements.Integration: Manage and maintain connections between Databricks and other data sources like Snowflake. Optimize data pipelines and workflows.Automation: Develop and maintain automa-tion scripts and tools for platform provisioning and routine tasks using Terraform.
Essential Skill:
- Terraform, AWS cloud services, Databricks administration- AWS IAM, VPC, private endpoints, firewalls, S3 and knowledge on how Databricks integrates with them- MLflow, Workflows, Databricks Asset Bundles- Databricks REST API: For automation, scripting, and integration- dbx CLI: For CI/CD integration- Delta Live Tables (DLT): For managing streaming and batch pipelines- SQL + PySpark skills to debug and support.
Desirable Skill :
Databricks certification
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Responsibilities:
• Design, develop, and execute automated tests with a strong focus on API testing and rigorous NFRs testing (performance, scalability, reliability, security, and usability).
• Develop and maintain robust API test scripts and automation frameworks using Java, integrating with CI/CD pipelines.
• Conduct comprehensive performance and security testing on APIs, analyzing results and providing detailed NFR compliance reports.
• Collaborate with stakeholders, participate in code reviews, and clearly communicate testing issues and insights.
• Manage and design integrated build pipelines using CI/CD workflows (Jira, GIT, Jenkins, Docker, AWS).
• Develop frameworks using Page Object Model (POM), Keyword-Driven, Cucumber, TestNG, BDD, and Hybrid Testing frameworks.
• Actively participate in Agile Scrum ceremonies.
• Conduct functional, performance, usability, retesting, smoke, sanity, regression, integration, boundary, compatibility, and GUI testing.
• Validate RESTful services through integration and regression testing using Rest Assured.
• Perform request/response and schema validation for API testing.
• Write SQL queries to test backend functionality.
Required Skills:
• 3+ years of experience in QA testing with a strong focus on API automation and NFR testing.
• Proficient in Java programming.
• Expertise in API test automation using Postman and Rest-Assured.
• Experience in Playwright, Cypress, and Selenium automation and manual testing using JavaScript and Core Java.
• Understanding of SDLC and STLC.
• Solid foundation in web technologies (HTML, CSS, JavaScript).
• Hands-on experience with test automation tools (Selenium, JUnit, TestNG).
• Proficiency in CI/CD pipelines (Jenkins, GitLab CI).
• Experience with test management tools like JIRA.
• Ability to analyze complex test results and problem-solve effectively.
• Excellent communication and collaboration skills.
Responsibilities
Responsibilities:
• Design, develop, and execute automated tests with a strong focus on API testing and rigorous NFRs testing (performance, scalability, reliability, security, and usability).
• Develop and maintain robust API test scripts and automation frameworks using Java, integrating with CI/CD pipelines.
• Conduct comprehensive performance and security testing on APIs, analyzing results and providing detailed NFR compliance reports.
• Collaborate with stakeholders, participate in code reviews, and clearly communicate testing issues and insights.
• Manage and design integrated build pipelines using CI/CD workflows (Jira, GIT, Jenkins, Docker, AWS).
• Develop frameworks using Page Object Model (POM), Keyword-Driven, Cucumber, TestNG, BDD, and Hybrid Testing frameworks.
• Actively participate in Agile Scrum ceremonies.
• Conduct functional, performance, usability, retesting, smoke, sanity, regression, integration, boundary, compatibility, and GUI testing.
• Validate RESTful services through integration and regression testing using Rest Assured.
• Perform request/response and schema validation for API testing.
• Write SQL queries to test backend functionality.
Required Skills:
• 3+ years of experience in QA testing with a strong focus on API automation and NFR testing.
• Proficient in Java programming.
• Expertise in API test automation using Postman and Rest-Assured.
• Experience in Playwright, Cypress, and Selenium automation and manual testing using JavaScript and Core Java.
• Understanding of SDLC and STLC.
• Solid foundation in web technologies (HTML, CSS, JavaScript).
• Hands-on experience with test automation tools (Selenium, JUnit, TestNG).
• Proficiency in CI/CD pipelines (Jenkins, GitLab CI).
• Experience with test management tools like JIRA.
• Ability to analyze complex test results and problem-solve effectively.
• Excellent communication and collaboration skills.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :SDET - Software Development Engineer in Test
Skill Required: Digital: Amazon Web Service(AWS) Cloud Computing~Digital : Databricks
Experience Range in Required Skills: 6 to 8 years
Role Description: Azure data bricks
Essential Skills: Azure data bricks
Desirable Skills: Azure data bricks
Responsibilities
Skill Required: Digital: Amazon Web Service(AWS) Cloud Computing~Digital : Databricks
Experience Range in Required Skills: 6 to 8 years
Role Description: Azure data bricks
Essential Skills: Azure data bricks
Desirable Skills: Azure data bricks
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Python~Digital : Amazon Web Service(AWS) Cloud Computing
Experience Range in Required Skills: 4-6 years
Job Description: AWS/Python Data Engineers
Essential Skills: AWS/Python Data Engineers
Responsibilities
Python~Digital : Amazon Web Service(AWS) Cloud Computing
Experience Range in Required Skills: 4-6 years
Job Description: AWS/Python Data Engineers
Essential Skills: AWS/Python Data Engineers
Salary : Rs. 70,000.0 - Rs. 1,30,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
