Advanced Java Concepts~Communication
• Java Full Stack Developer Core Java springboot| web ui| angular| react
• Experience in scripting like powershell, unix scripting and python to automate development-related task.
• Hands-on experience with core AWS services is a plus.
• Exposure to microservice and web service architectures.
• Exposure to UI/UX design principles.
• Exposure to event driven orchestrations and software configuration techniques.
• Exposure to cloud computing concepts and technologies.
• Exposure to monitoring and logging techniques.
• Knowledge of Annuities and Insurance Products is a plus.
• Bachelor of Computer Science, Engineering or experience in related fields.
• 1-3 years of development experience working in financial systems or similar areas.
• Knowledge of Test-Driven Development (TDD) and DevOps concepts.
• Excellent problem-solving techniques. Clear, professional communications (listening, oral and written communications).
• Experience with full stack development tools and software such as MEAN, JAVA Spring boot, React, Python, etc.
• Experience in test driven development, unit testing and smoke testing.
Responsibilities
• Java Full Stack Developer Core Java springboot| web ui| angular| react
• Experience in scripting like powershell, unix scripting and python to automate development-related task.
• Hands-on experience with core AWS services is a plus.
• Exposure to microservice and web service architectures.
• Exposure to UI/UX design principles.
• Exposure to event driven orchestrations and software configuration techniques.
• Exposure to cloud computing concepts and technologies.
• Exposure to monitoring and logging techniques.
• Knowledge of Annuities and Insurance Products is a plus.
• Bachelor of Computer Science, Engineering or experience in related fields.
• 1-3 years of development experience working in financial systems or similar areas.
• Knowledge of Test-Driven Development (TDD) and DevOps concepts.
• Excellent problem-solving techniques. Clear, professional communications (listening, oral and written communications).
• Experience with full stack development tools and software such as MEAN, JAVA Spring boot, React, Python, etc.
• Experience in test driven development, unit testing and smoke testing.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Databricks + SQL + Python/PySpark + Data EngineeringRole Overview We are seeking an 6 Y of experienced Databricks Data Engineer with strong expertise in building scalable data pipelines, managing large datasets, and delivering business-driven solutions. The ideal candidate will have advanced skills in Python and SQL, hands-on experience with Databricks, and the ability to translate business requirements into efficient technical implementations.Key ResponsibilitiesDesign, develop, and optimize ETL pipelines and workflows using Databricks, Python, and SQL.Handle large-scale datasets, ensuring performance, scalability, and data integrity.Translate business requirements into robust data models, queries, and scripts.Implement data transformations, orchestration, and automation within Databricks.Collaborate with analysts, data scientists, and business stakeholders to deliver actionable insights.Build dashboards and reports using Power BI or similar BI tools.Ensure compliance with data governance, security, and best practices.Document processes, pipelines, and solutions for knowledge sharing.Required SkillsStrong proficiency in Python and SQL with 6+ years of experience.Hands-on expertise with Databricks (data engineering, Spark, orchestration).Experience handling large datasets and optimizing performance.Knowledge of data warehousing concepts and ETL workflows.Familiarity with BI tools (Power BI, Tableau) for reporting and visualization.Exposure to cloud platforms (Azure, AWS, or GCP) and version control (Git).Strong problem-solving, communication, and collaboration skills.Exposure to machine learning workflows within Databricks is a plus.
Comments for Suppliers: Databricks Unified Data Analytics Platform
Responsibilities
Databricks + SQL + Python/PySpark + Data EngineeringRole Overview We are seeking an 6 Y of experienced Databricks Data Engineer with strong expertise in building scalable data pipelines, managing large datasets, and delivering business-driven solutions. The ideal candidate will have advanced skills in Python and SQL, hands-on experience with Databricks, and the ability to translate business requirements into efficient technical implementations.Key ResponsibilitiesDesign, develop, and optimize ETL pipelines and workflows using Databricks, Python, and SQL.Handle large-scale datasets, ensuring performance, scalability, and data integrity.Translate business requirements into robust data models, queries, and scripts.Implement data transformations, orchestration, and automation within Databricks.Collaborate with analysts, data scientists, and business stakeholders to deliver actionable insights.Build dashboards and reports using Power BI or similar BI tools.Ensure compliance with data governance, security, and best practices.Document processes, pipelines, and solutions for knowledge sharing.Required SkillsStrong proficiency in Python and SQL with 6+ years of experience.Hands-on expertise with Databricks (data engineering, Spark, orchestration).Experience handling large datasets and optimizing performance.Knowledge of data warehousing concepts and ETL workflows.Familiarity with BI tools (Power BI, Tableau) for reporting and visualization.Exposure to cloud platforms (Azure, AWS, or GCP) and version control (Git).Strong problem-solving, communication, and collaboration skills.Exposure to machine learning workflows within Databricks is a plus.
Comments for Suppliers: Databricks Unified Data Analytics Platform
Salary : Rs. 0.0 - Rs. 2,17,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Digital : Databricks~AI and Automation~Manual Testing Processes and Management
Job Description:
1. 1. Good experience in developing SQL queries for testing complex ETL transformations
2. Proficiency in ETL Testing, Data Validation, Data Warehouse Testing
3. Experienced in data value chain in P&C, Reinsurance and Lloyds of London.
4. Good knowledge of Data warehousing QA concepts
5. Hands on Experience on Azure Databricks
6. Thorough Understanding of Databricks-based ETL workflows, including data ingestion, transformation, and validation.
7. Knowledge in Test Strategy, Test Plan, Test Case creation, STLC, Bug Life Cycle
8. Handson experience with Agile & QA tools
1. Knowledge in Pyspark
2. Basic understanding of Dax code in Power BI
3. Proficient knowledge in Azure DevOps, SDLC, STLC, DevOps and CI/CD processes.
Responsibilities
Job Description:
1. 1. Good experience in developing SQL queries for testing complex ETL transformations
2. Proficiency in ETL Testing, Data Validation, Data Warehouse Testing
3. Experienced in data value chain in P&C, Reinsurance and Lloyds of London.
4. Good knowledge of Data warehousing QA concepts
5. Hands on Experience on Azure Databricks
6. Thorough Understanding of Databricks-based ETL workflows, including data ingestion, transformation, and validation.
7. Knowledge in Test Strategy, Test Plan, Test Case creation, STLC, Bug Life Cycle
8. Handson experience with Agile & QA tools
1. Knowledge in Pyspark
2. Basic understanding of Dax code in Power BI
3. Proficient knowledge in Azure DevOps, SDLC, STLC, DevOps and CI/CD processes.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Digital : Databricks~AI and Automation~Manual Testing Processes and Management
Python~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Scala~Digital : Snowflake
Role Descriptions:
1) Design| develop| and maintain data pipelines using Snowflake| SQL| and ETL| ELT tools
2) Implement data models (star snowflake schemas) for analytics and reporting
3) Build and optimize Snowflake data warehouses| including performance tuning and cost optimization
4) Develop data ingestion frameworks for batch and near real-time processing
5) Collaborate with cross-functional teams for data integration and transformation requirements
6) Ensure data quality| governance| and security compliance
7) Automate workflows using tools like Airflow| DBT| or similar orchestration frameworks 8) Support CICD pipelines and DevOps practices in data engineering
Essential Skills:
1) Strong hands-on experience in Snowflake (SQL| Snowpipe| Streams| Tasks)
2) Proficiency in SQL and data transformation techniques
3) Experience with ETLELT tools (Informatica| Talend| DBT| Matillion| etc.)
4) Knowledge of cloud platforms AWS Azure GCP
5) Expertise in data warehousing concepts and modeling techniques
6) Programming exposure in Python Scala (preferred) 7) Familiarity with data orchestration tools (Airflow| Azure Data Factory| etc.)
Responsibilities
Python~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Scala~Digital : Snowflake
Role Descriptions:
1) Design| develop| and maintain data pipelines using Snowflake| SQL| and ETL| ELT tools
2) Implement data models (star snowflake schemas) for analytics and reporting
3) Build and optimize Snowflake data warehouses| including performance tuning and cost optimization
4) Develop data ingestion frameworks for batch and near real-time processing
5) Collaborate with cross-functional teams for data integration and transformation requirements
6) Ensure data quality| governance| and security compliance
7) Automate workflows using tools like Airflow| DBT| or similar orchestration frameworks 8) Support CICD pipelines and DevOps practices in data engineering
Essential Skills:
1) Strong hands-on experience in Snowflake (SQL| Snowpipe| Streams| Tasks)
2) Proficiency in SQL and data transformation techniques
3) Experience with ETLELT tools (Informatica| Talend| DBT| Matillion| etc.)
4) Knowledge of cloud platforms AWS Azure GCP
5) Expertise in data warehousing concepts and modeling techniques
6) Programming exposure in Python Scala (preferred) 7) Familiarity with data orchestration tools (Airflow| Azure Data Factory| etc.)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role : Python~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Scala~Digital : Snowflake
Scrum Master Hands-on GenAI (LLMs), prompt engineering Retrieval Augmented Generation (RAG) LLM evaluation, grounding, guardrails Responsible AI, data security | AI Skills: All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to: Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise. Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows. Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery quality and velocity.
Responsibilities
Scrum Master Hands-on GenAI (LLMs), prompt engineering Retrieval Augmented Generation (RAG) LLM evaluation, grounding, guardrails Responsible AI, data security | AI Skills: All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to: Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise. Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows. Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery quality and velocity.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
