Senior Data Engineer

POSITION: Reltio MDM Developer LOCATION: Chennai/Hyderabad/Bangalore- Hybrid. DURATION: Full Time. Notice Period: Immediate joiner/ Serving notice less than 45 days Must have skills (Hand's on) Azure Synapse Analytics- 3 years Pyspark- 4 years Python- 1 years Fabric- 6 months This is a migration project from Azure Synapse Analytics to Fabric Experience: 8 Years Job Summary We are seeking a highly skilled Senior Data Engineer to join the Data Cloud team supporting client. The ideal candidate should possess strong data engineering expertise with hands-on experience in Python, Azure Synapse Analytics, Microsoft Fabric, Databricks, and modern cloud-based data platforms. The candidate should be capable of independently designing, developing, optimizing, and supporting scalable data solutions while working closely with business and technical stakeholders. Key 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. 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 sources across cloud and on-premise platforms. Support production incidents, root cause analysis, and performance tuning activities. Collaborate with cross-functional teams to deliver high-quality data solutions. Participate in code reviews and follow engineering best practices. Required Skills Strong Python programming experience PySpark Azure Synapse Analytics Microsoft Fabric Databricks SQL Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Delta Lake Data Warehousing Concepts ETL / ELT Development Data Modeling CI/CD and DevOps practices Performance Optimization and Troubleshooting Preferred Experience Banking or Financial Services domain experience Regulatory reporting and analytics platforms Medallion Architecture (Bronze, Silver, Gold) Large-scale cloud data migration and modernization projects Key Expectations Strong engineering and problem-solving capabilities Ability to work independently with minimal supervision Experience handling complex data transformation and integration scenarios Strong debugging, troubleshooting, and optimization skills Excellent communication and stakeholder management skills