Data Engineer - Azure Cloud, Data Bricks. Azure Data Factor, PySpark, ETL knowledge is must. Strong working experience is required
Role Descriptions: Job Description for Data EngineerDesign and develop ETL processes based on functional and non-functional requirements in Databricks| python PySpark within Azure platform.Understand the full end to end development activities from design to go live for ETL development in Azure platform.Recommend and execute improvements.Execute and provide support during testing cycles and post-production deployment| engage in peer code reviews.Apply automation and innovation on new and on-going data platforms that aligned to business strategies.Document component design for developers and for broader communication.Understand and adopt an Agile (SCRUM like) software development mindset.Follow established processesstandards| business technology architecture for development| release management and deployment process.Design| develop and implement reporting platforms and complex ETL frameworks that meet business requirements.Provide data analysis and requirements within enterprise platform.Develop| maintain knowledge of data available from upstream sources and data within various platforms.
Essential Skills: Must-have skillsAzure Databricks| Azure Data FactoryPython Spark Pyspark Shell ScriptSynapse5 years of experience in ETLData area with minimum of 3 years of development experience in above technologies (PySPark| ADB| ADF) is mustSQL| Working experience with data modeling| relational modeling and dimensional modeling| Data Warehousing| ETLGeneral knowledge about file formats (e.g. XML| CSV| JSON)| databases (e.g. MS SQL| Oracle) and different type of connectivity is also very useful.Data files movement via mailboxSource-code versioningpromotion tools| e.g. GitJenkinsGood communication skill| team player
Responsibilities
Data Engineer - Azure Cloud, Data Bricks. Azure Data Factor, PySpark, ETL knowledge is must. Strong working experience is required
Role Descriptions: Job Description for Data EngineerDesign and develop ETL processes based on functional and non-functional requirements in Databricks| python PySpark within Azure platform.Understand the full end to end development activities from design to go live for ETL development in Azure platform.Recommend and execute improvements.Execute and provide support during testing cycles and post-production deployment| engage in peer code reviews.Apply automation and innovation on new and on-going data platforms that aligned to business strategies.Document component design for developers and for broader communication.Understand and adopt an Agile (SCRUM like) software development mindset.Follow established processesstandards| business technology architecture for development| release management and deployment process.Design| develop and implement reporting platforms and complex ETL frameworks that meet business requirements.Provide data analysis and requirements within enterprise platform.Develop| maintain knowledge of data available from upstream sources and data within various platforms.
Essential Skills: Must-have skillsAzure Databricks| Azure Data FactoryPython Spark Pyspark Shell ScriptSynapse5 years of experience in ETLData area with minimum of 3 years of development experience in above technologies (PySPark| ADB| ADF) is mustSQL| Working experience with data modeling| relational modeling and dimensional modeling| Data Warehousing| ETLGeneral knowledge about file formats (e.g. XML| CSV| JSON)| databases (e.g. MS SQL| Oracle) and different type of connectivity is also very useful.Data files movement via mailboxSource-code versioningpromotion tools| e.g. GitJenkinsGood communication skill| team player
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Digital : Databricks~Digital : PySpark~Azure Data Factory
We are seeking a Custom Software Engineer to design, code, and enhance software solutions that meet unique business requirements. The role requires proficiency in Microsoft Azure PaaS and involves collaborating with cross-functional teams, maintaining software components, and mentoring junior team members. The ideal candidate will have a minimum of 3 years of experience with Azure PaaS, strong cloud platform knowledge, and expertise in agile methodologies and CI/CD practices. Key sourcing considerations include proven ability to work independently as an SME, experience with scalable and secure software design, and a background in web application development with ASP.NET MVC and C#.
Responsibilities
We are seeking a Custom Software Engineer to design, code, and enhance software solutions that meet unique business requirements. The role requires proficiency in Microsoft Azure PaaS and involves collaborating with cross-functional teams, maintaining software components, and mentoring junior team members. The ideal candidate will have a minimum of 3 years of experience with Azure PaaS, strong cloud platform knowledge, and expertise in agile methodologies and CI/CD practices. Key sourcing considerations include proven ability to work independently as an SME, experience with scalable and secure software design, and a background in web application development with ASP.NET MVC and C#.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Deployment Analyst-
The Deployment Analyst is responsible for coordinating| planning| and executing software deployments across development| testing| and production environments.
This role ensures that releases are delivered smoothly| safely| and in alignment with change| risk| and governance standards.
The ideal candidate has strong technical awareness| excellent coordination skills| and the ability to work closely with engineering| product| and operations teams to ensure high quality releases.
Key Responsibilities-
Deployment Planning ExecutionCoordinate and schedule application deployments across multiple environments (Dev| QA| UAT| Production).
Prepare deployment plans| runbooks| and checklists to ensure consistent| error free releases.
Execute deployments using CICD pipelines| automation tools| and approved operational processes.
Validate successful deployments through post release checks| monitoring| and system health reviews.
Environment Release ManagementSupport the maintenance and readiness of testing and production environments.
Work with engineering teams to troubleshoot deployment failures and environment issues.
Track environment changes| configurations| and dependencies to avoid deployment conflicts.
Ensure deployment activities align with release calendars and freeze windows.
Governance| Risk ComplianceWork closely with Change Management to ensure releases follow governance and approval processes.
Maintain detailed documentation of changes| deployments| and post-implementation results.
Ensure compliance with operational| regulatory| and audit standards (especially in regulated industries like financial services).
Stakeholder CoordinationLiaise between engineering teams| Release Managers| Product Owners| and Operations to coordinate smooth release cycles.
Provide clear communication on deployment progress| risks| issues| and remediation plans.
Support incident| problem| and root cause analysis for deployment-related issues.
Continuous ImprovementContribute to the enhancement of CICD pipelines| deployment automation| and release processes.
Identify repeated issues and work with engineering teams to reduce manual activities through automation.
Recommend improvements to deployment strategies| tooling| and documentation.
Required Skills
Experience in software deployment| release management| DevOps| or environment coordination roles.
Familiarity with CICD tools (Azure DevOps| Jenkins| GitHub Actions| GitLab| etc.).
Understanding of software development lifecycle (SDLC) and Agile methodologies.
Strong analytical| problem-solving| and troubleshooting skills.
Ability to manage multiple deployments in parallel and coordinate with cross-functional teams.
Excellent communication and documentation skills.
Understanding of application configuration| versioning| change approval| and release governance.
Preferred Qualifications
Experience in financial services| bank
Responsibilities
The Deployment Analyst is responsible for coordinating| planning| and executing software deployments across development| testing| and production environments.
This role ensures that releases are delivered smoothly| safely| and in alignment with change| risk| and governance standards.
The ideal candidate has strong technical awareness| excellent coordination skills| and the ability to work closely with engineering| product| and operations teams to ensure high quality releases.
Key Responsibilities-
Deployment Planning ExecutionCoordinate and schedule application deployments across multiple environments (Dev| QA| UAT| Production).
Prepare deployment plans| runbooks| and checklists to ensure consistent| error free releases.
Execute deployments using CICD pipelines| automation tools| and approved operational processes.
Validate successful deployments through post release checks| monitoring| and system health reviews.
Environment Release ManagementSupport the maintenance and readiness of testing and production environments.
Work with engineering teams to troubleshoot deployment failures and environment issues.
Track environment changes| configurations| and dependencies to avoid deployment conflicts.
Ensure deployment activities align with release calendars and freeze windows.
Governance| Risk ComplianceWork closely with Change Management to ensure releases follow governance and approval processes.
Maintain detailed documentation of changes| deployments| and post-implementation results.
Ensure compliance with operational| regulatory| and audit standards (especially in regulated industries like financial services).
Stakeholder CoordinationLiaise between engineering teams| Release Managers| Product Owners| and Operations to coordinate smooth release cycles.
Provide clear communication on deployment progress| risks| issues| and remediation plans.
Support incident| problem| and root cause analysis for deployment-related issues.
Continuous ImprovementContribute to the enhancement of CICD pipelines| deployment automation| and release processes.
Identify repeated issues and work with engineering teams to reduce manual activities through automation.
Recommend improvements to deployment strategies| tooling| and documentation.
Required Skills
Experience in software deployment| release management| DevOps| or environment coordination roles.
Familiarity with CICD tools (Azure DevOps| Jenkins| GitHub Actions| GitLab| etc.).
Understanding of software development lifecycle (SDLC) and Agile methodologies.
Strong analytical| problem-solving| and troubleshooting skills.
Ability to manage multiple deployments in parallel and coordinate with cross-functional teams.
Excellent communication and documentation skills.
Understanding of application configuration| versioning| change approval| and release governance.
Preferred Qualifications
Experience in financial services| bank
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Data Solution Lead with Healthcare domain expertise, strong SQL, Data Modeler experience, AWS, Data lifecycle management
Role Descriptions:
• Collaborate with key stakeholders from the Domain, Application owners, Data stewards, and IT areas to identify scope and understand key requirements
• Perform complex application implementations using latest techniques and technologies which includes AWS Services, RDBMSs, Postgres, APIs and querying languages etc.
• Work with DBA and Data Modeler to design and implement changes for application engagements to facilitate the archive and purge of non-compliant data
• 5-8 years of healthcare experience solving business problems or needs through the application of data analytics approach.
• 8+ years’ experience working with various RDBMS which should include DB2, Oracle, SQL Server etc.
• Ability to build intermediate to complex queries, leveraging common query languages (SQL, HQL etc)
• Knowledge of AWS Services (Cloud Technology) at a foundational level
• Experience in testing, debugging and solution designing
Responsibilities
Data Solution Lead with Healthcare domain expertise, strong SQL, Data Modeler experience, AWS, Data lifecycle management
Role Descriptions:
• Collaborate with key stakeholders from the Domain, Application owners, Data stewards, and IT areas to identify scope and understand key requirements
• Perform complex application implementations using latest techniques and technologies which includes AWS Services, RDBMSs, Postgres, APIs and querying languages etc.
• Work with DBA and Data Modeler to design and implement changes for application engagements to facilitate the archive and purge of non-compliant data
• 5-8 years of healthcare experience solving business problems or needs through the application of data analytics approach.
• 8+ years’ experience working with various RDBMS which should include DB2, Oracle, SQL Server etc.
• Ability to build intermediate to complex queries, leveraging common query languages (SQL, HQL etc)
• Knowledge of AWS Services (Cloud Technology) at a foundational level
• Experience in testing, debugging and solution designing
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role : Data Solution Lead with Healthcare domain expertise, strong SQL, Data Modeler experience, AWS, Data lifecycle management
Experience:
• Minimum of 5+ years of experience as a Business Analyst, with at least 3 years in a senior role.
• Proven experience working on complex enterprise-level projects.
• Experience in SQL/Bigquery and Analytical knowledge is highly desirable.
Technical Skills:
• SQL/BigQuery Programming
• Python(Pyspark, Pandas)
• Any Visualization Tool Extensive experience
• Data Analytical & Critical Thinking Knowledge
• Problem Solving Ability
• Good to have skills: AI, GCP
Key Responsibilities:
• Develop, optimize, and maintain complex SQL queries to extract, transform, and load data from various relational databases for reporting, analysis, and application functionality.
• Perform detailed data analysis and create meaningful dashboards, enhance charts
• Facilitate effective communication and collaboration within team, client, stakeholders, vendors, ensuring alignment on project scope, goals, and deliverables.
• Bug Management
• Identify areas of automation and proactively/ready to research on different GCP advanced tools
• Able to understand and create Python notebooks/scripts
• Develop comprehensive documentation including Business Requirements Documents (BRDs), Functional Specification Documents (FSDs), User Stories, Use Cases, Process Flows, and Data Models.
Responsibilities
Experience:
• Minimum of 5+ years of experience as a Business Analyst, with at least 3 years in a senior role.
• Proven experience working on complex enterprise-level projects.
• Experience in SQL/Bigquery and Analytical knowledge is highly desirable.
Technical Skills:
• SQL/BigQuery Programming
• Python(Pyspark, Pandas)
• Any Visualization Tool Extensive experience
• Data Analytical & Critical Thinking Knowledge
• Problem Solving Ability
• Good to have skills: AI, GCP
Key Responsibilities:
• Develop, optimize, and maintain complex SQL queries to extract, transform, and load data from various relational databases for reporting, analysis, and application functionality.
• Perform detailed data analysis and create meaningful dashboards, enhance charts
• Facilitate effective communication and collaboration within team, client, stakeholders, vendors, ensuring alignment on project scope, goals, and deliverables.
• Bug Management
• Identify areas of automation and proactively/ready to research on different GCP advanced tools
• Able to understand and create Python notebooks/scripts
• Develop comprehensive documentation including Business Requirements Documents (BRDs), Functional Specification Documents (FSDs), User Stories, Use Cases, Process Flows, and Data Models.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
7 to 10 years of extensive and hands-on experience with Java/J2EE technology stack
Development Experience in Microservices using Java 8/11/17/21, Spring Boot, Kafka
Extensive hands on Elasticsearch log analytics, Kibana monitoring tools
Extensive hands on relational databases using Oracle
Extensive hands on NoSQL databases using MongoDB
Experience with CI/CD using Maven, Jenkins, GitHub Actions
Monitored applications using Splunk, AppDynamics.
Responsibilities
7 to 10 years of extensive and hands-on experience with Java/J2EE technology stack
Development Experience in Microservices using Java 8/11/17/21, Spring Boot, Kafka
Extensive hands on Elasticsearch log analytics, Kibana monitoring tools
Extensive hands on relational databases using Oracle
Extensive hands on NoSQL databases using MongoDB
Experience with CI/CD using Maven, Jenkins, GitHub Actions
Monitored applications using Splunk, AppDynamics.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role : 567416,567417,567419_ ADM_ Senior Consultanat Java + Kafka_ Offshore
We are seeking a skilled Azure Data Engineer with hands-on experience in Azure Data Factory (ADF) and Azure Databricks (ADB) to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have strong expertise in data integration, transformation, and cloud-based data architecture. Key responsibilities include designing ETL/ELT pipelines, managing data ingestion workflows, optimizing pipeline performance, and implementing data quality and governance standards. Primary skills required are Azure Data Factory, Azure Databricks, Python/PySpark, and SQL with strong ETL/ELT and data warehousing knowledge. When sourcing candidates, prioritize those with demonstrated hands-on ADF and ADB experience, proven ability to design scalable data architectures, and experience with Delta Lake implementations.
Responsibilities
We are seeking a skilled Azure Data Engineer with hands-on experience in Azure Data Factory (ADF) and Azure Databricks (ADB) to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have strong expertise in data integration, transformation, and cloud-based data architecture. Key responsibilities include designing ETL/ELT pipelines, managing data ingestion workflows, optimizing pipeline performance, and implementing data quality and governance standards. Primary skills required are Azure Data Factory, Azure Databricks, Python/PySpark, and SQL with strong ETL/ELT and data warehousing knowledge. When sourcing candidates, prioritize those with demonstrated hands-on ADF and ADB experience, proven ability to design scalable data architectures, and experience with Delta Lake implementations.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role : 567514 - Azure Data Engineer - Blr, Hyd, Pune - EAIS
