Job Description
Job Position: Azure Data Engineer Lead
Experience Required: 12+ Years.
Location: Hyderabad
Technical Skill Requirements: Azure Data Factory (API/APIM), Azure Data Bricks, Azure Devops, Azure Data Lake storage (ADLS), SQL, Synapse data warehouse, Azure Cosmos DB, MS Fabric, Power BI
Roles & Responsibilities -
- Lead the design, development, and support of large‑scale data platforms using Azure Data Factory (ADF), Azure Databricks, Azure Dev Ops, ADLS, SQL/Synapse Data Warehouse, Azure Cosmos DB, and Microsoft Fabric.
- Develop, optimize, and maintain complex ETL/ELT pipelines, ensuring reliability, scalability, and high‑performance data processing.
- Continuously assess existing applications and data platforms to identify architectural enhancements, modernization opportunities, and performance improvements.
- Recommend and implement best practices for cloud-native data architecture, scalability, governance, and security.
- Contribute to solution design reviews and collaborate with architects to ensure alignment with enterprise standards.
- Manage and support high-volume, mission‑critical applications, ensuring uninterrupted operations across environments.
- Lead triage calls involving cross‑functional stakeholders, ensuring timely communication and coordinated incident response.
- Utilize understanding of Docker, Kubernetes, and cloud‑native workloads to support containerized deployments and operational workflows.
- Leverage experience with data virtualization platforms (e.g., Denodo) for improved data accessibility and integration (if applicable).
- Apply strong knowledge of ITIL processes and ITSM tools for effective incident, change, and problem management.
- Maintain governance over operational processes and promote continuous improvement across teams.
- Lead and mentor data engineering/operations teams, guiding technical decision‑making and ensuring high performance.
- Work flexibly in rotational shifts to support 24/7 operational needs and ensure platform reliability.
Requirements
- 12+ years of experience in software development, technical operations, and running large-scale applications.
- 8+ years of experience in developing or supporting Azure Data Factory (API/APIM), Azure Databricks, Azure Dev Ops, Azure Data Lake storage (ADLS), SQL and Synapse data warehouse, Azure Cosmos DB and MS Fabric
- Must have 5+ years of experience working in Data Engineering / Hands-on experience in coding
- Any experience in data virtualization products like Denodo is desirable
- Azure Data Engineer or Solutions Architect certification is desirable
- Should have a good understanding of container platforms like Docker and Kubernetes.
- Should be able to assess the application/platform time to time for architectural improvements and provide inputs to the relevant teams
- Very Good troubleshooting skills (quick identification of the application issues and providing quick resolutions with no or minimal user/business impact)
- Hands-on experience in working with high-volume, mission-critical applications
- Deep appreciation of IT tools, techniques, systems, and solutions.
- Excellent communication skills along with experience in driving triage calls which involve different technical stake holders
- Has creative problem-solving skills related to cross-functional issues amidst the changing priorities.
- Should be flexible and resourceful to swiftly manage the changing operational goals and demands.
- Should have good experience to lead the team and manage customer expectations
- Good experience in handling escalations and take complete responsibility and ownership of all critical issues to get a technical/logical closure.
- Good understanding of the IT Infrastructure Library (ITIL) framework and various IT Service Management (ITSM) tools available in the marketplace.
- Flexible to work in rotational shifts
Experience Required: 12+ Years.
Location: Hyderabad
Technical Skill Requirements: Azure Data Factory (API/APIM), Azure Data Bricks, Azure Devops, Azure Data Lake storage (ADLS), SQL, Synapse data warehouse, Azure Cosmos DB, MS Fabric, Power BI
Roles & Responsibilities -
- Lead the design, development, and support of large‑scale data platforms using Azure Data Factory (ADF), Azure Databricks, Azure Dev Ops, ADLS, SQL/Synapse Data Warehouse, Azure Cosmos DB, and Microsoft Fabric.
- Develop, optimize, and maintain complex ETL/ELT pipelines, ensuring reliability, scalability, and high‑performance data processing.
- Continuously assess existing applications and data platforms to identify architectural enhancements, modernization opportunities, and performance improvements.
- Recommend and implement best practices for cloud-native data architecture, scalability, governance, and security.
- Contribute to solution design reviews and collaborate with architects to ensure alignment with enterprise standards.
- Manage and support high-volume, mission‑critical applications, ensuring uninterrupted operations across environments.
- Lead triage calls involving cross‑functional stakeholders, ensuring timely communication and coordinated incident response.
- Utilize understanding of Docker, Kubernetes, and cloud‑native workloads to support containerized deployments and operational workflows.
- Leverage experience with data virtualization platforms (e.g., Denodo) for improved data accessibility and integration (if applicable).
- Apply strong knowledge of ITIL processes and ITSM tools for effective incident, change, and problem management.
- Maintain governance over operational processes and promote continuous improvement across teams.
- Lead and mentor data engineering/operations teams, guiding technical decision‑making and ensuring high performance.
- Work flexibly in rotational shifts to support 24/7 operational needs and ensure platform reliability.
Requirements
- 12+ years of experience in software development, technical operations, and running large-scale applications.
- 8+ years of experience in developing or supporting Azure Data Factory (API/APIM), Azure Databricks, Azure Dev Ops, Azure Data Lake storage (ADLS), SQL and Synapse data warehouse, Azure Cosmos DB and MS Fabric
- Must have 5+ years of experience working in Data Engineering / Hands-on experience in coding
- Any experience in data virtualization products like Denodo is desirable
- Azure Data Engineer or Solutions Architect certification is desirable
- Should have a good understanding of container platforms like Docker and Kubernetes.
- Should be able to assess the application/platform time to time for architectural improvements and provide inputs to the relevant teams
- Very Good troubleshooting skills (quick identification of the application issues and providing quick resolutions with no or minimal user/business impact)
- Hands-on experience in working with high-volume, mission-critical applications
- Deep appreciation of IT tools, techniques, systems, and solutions.
- Excellent communication skills along with experience in driving triage calls which involve different technical stake holders
- Has creative problem-solving skills related to cross-functional issues amidst the changing priorities.
- Should be flexible and resourceful to swiftly manage the changing operational goals and demands.
- Should have good experience to lead the team and manage customer expectations
- Good experience in handling escalations and take complete responsibility and ownership of all critical issues to get a technical/logical closure.
- Good understanding of the IT Infrastructure Library (ITIL) framework and various IT Service Management (ITSM) tools available in the marketplace.
- Flexible to work in rotational shifts
Apply for this Position
Ready to join ? Click the button below to submit your application.
Submit Application