Job Role:
Senior/Lead Data Engineer

Experience Required:
8+ Years

Job Location:
Chennai / Bangalore / Hyderabad

Job Mode:
Full Time

Key Skills Required
- Azure Synapse Analytics
- PySpark

Other Skills :
- Python
- Microsoft Fabric
- Databricks
- Azure Data Factory (ADF)
- SQL
- Azure Data Lake Storage (ADLS)
- Delta Lake
- Data Warehousing
- ETL / ELT Development

Roles & Responsibilities
- Analyze business requirements and design scalable data engineering solutions.
- Design, develop, and maintain robust data pipelines and ETL/ELT frameworks.
- Build and optimize data ingestion, transformation, and processing workflows using Python and PySpark.
- Develop data solutions using Azure Synapse Analytics, Microsoft Fabric, and Databricks.
- Design and implement scalable data lake and data warehouse architectures.
- Develop reusable, metadata-driven, and parameterized data pipelines.
- Perform complex data transformations,



aggregations, joins, and data quality validations.
- Optimize pipeline performance and troubleshoot data processing issues.
- Implement monitoring, logging, and error-handling frameworks.
- Work with structured and semi-structured data across cloud and on-premise platforms.
- Support production incidents, root cause analysis, and performance tuning.
- Collaborate with cross-functional teams to deliver high-quality data solutions.
- Participate in code reviews and follow engineering best practices.

Preferred Experience
- Banking or
Financial Services
domain experience.
- Experience with regulatory reporting and analytics platforms.
- Experience with
Medallion Architecture
- Experience with large-scale cloud data migration and modernization projects.

📌 Azure Synapse Developer (Bengaluru)
🏢 ZeepleWork
📍 Bengaluru