Please find the detailed for the Data Engineering Lead position. Kindly prioritize candidates with strong hands-on experience in Microsoft Fabric, SSIS, ETL/ELT, Python, PySpark, and Data Migration.

Looking forward to your support in closing this requirement at the earliest.

Position: Data Engineering Lead

Experience: 6-8 Years

Location: Hyderabad, Telangana

Mode: C2H / Permanent

About The Role

We are seeking an experienced Data Engineering Lead to design, develop, and lead enterprise-scale data integration, migration, and analytics initiatives. The ideal candidate will have strong expertise in Microsoft Fabric, SSIS, ETL development, Data Engineering, and Data Migration, along with hands-on experience in Python/PySpark. The candidate will be responsible for driving data platform modernization efforts, mentoring team members, and ensuring the delivery of high-quality, scalable data solutions.

Key Responsibilities

- Lead the design, development, and implementation of end-to-end data engineering solutions.

- Develop and maintain scalable ETL/ELT pipelines using SSIS, Microsoft Fabric, PySpark, and Python.

- Drive data migration initiatives from legacy systems to modern cloud-based data platforms.

- Design and implement data ingestion, transformation, cleansing, and validation processes.

- Build and optimize data warehouses, data marts, and lakehouse architectures.

- Collaborate with business stakeholders, architects, and cross-functional teams to understand data requirements and translate them into technical solutions.

- Ensure data quality, reliability, security, and governance standards are met.

- Monitor and optimize data pipeline performance, scalability, and cost efficiency.

- Lead code reviews, technical design discussions,



and best practice adoption across the team.

- Provide technical guidance and mentoring to junior and mid-level data engineers.

- Participate in effort estimation, sprint planning, and release management activities.

Mandatory Skills

- Strong experience in Data Engineering with 6-8 years of overall IT experience.

- Hands-on expertise in Microsoft Fabric and Fabric Data Engineering components.

- Strong exposure to SSIS (SQL Server Integration Services), SSAS (SQL Server Analytical Services).

- Extensive experience in designing and developing ETL/ELT pipelines.

- Experience in large-scale Data Migration projects.

- Proficiency in Python and PySpark for data processing and transformation.

- Familiarity with CI/CD pipelines using Azure DevOps.

- Experience in cloud migration and modernization projects.

- Familiarity with Git-based source control and branching strategies.

- Strong SQL skills with experience in performance tuning and query optimization.

- Experience working with large datasets and complex data transformation frameworks.

- Understanding of data warehousing concepts, dimensional modeling, and data architecture principles.

- Experience working in Agile/Scrum environments.

Valuable-to-Have Skills

- Experience with Azure Data Factory (ADF).

- Exposure to Azure Synapse Analytics.

- Experience with Microsoft Fabric Lakehouse, Dataflows Gen2, and Notebooks.

- Knowledge of Delta Lake, Apache Spark, and Databricks.

- Experience with Power BI reporting and semantic models.

- Knowledge of data governance and data quality frameworks.

- Exposure to real-time data processing and streaming technologies.

- Certifications in Microsoft Azure Data Engineering or Microsoft Fabric.

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