Job Title

Data Engineer leadRole OverviewThe Senior Data Engineer will design and implement scalable, secure, and high-performance data solutions using the Azure Data Stack. The role focuses on building reliable data pipelines, ensuring data quality, and enabling downstream analytics and AI workloads through well-structured, governed, and performant data models.Key Responsibilities- Design, build, and maintain ETL/ELT pipelines using Azure Data Factory (ADF) and Synapse Pipelines. - Develop and manage data lakes and data warehouses on Azure Data Lake Storage (ADLS) and Azure Synapse Analytics. - Integrate data from multiple sources — including core banking, CRM, trading, and partner systems — into unified data models. - Build parameterized pipelines, implement data validation, and automate ingestion and transformation workflows. - Collaborate with Cloud Architects, Data Scientists, and BI Teams to enable high-quality, reusable data assets. - Establish data partitioning, indexing, and incremental load strategies for performance optimization. - Enable pipeline orchestration, logging, and error handling using ADF features and Azure Monitor. - Integrate CI/CD workflows via Azure DevOps for deployment automation and version control. - Ensure data security, encryption, masking, and retention policies aligned with RBI / SEBI guidelines. - Contribute to data governance, cataloging, and lineage tracking using Azure Purview or equivalent tools.Technical Skills- Mandatory: - Azure Data Stack – ADF, Synapse, ADLS, Azure SQL, Event Hub / Service Bus. - Strong SQL skills and ETL design principles. - Experience with Azure DevOps CI/CD and ARM templates / Terraform for infrastructure automation. - Good understanding of data modelling, data quality, and incremental processing techniques. - Good to Have: - Experience with Python-based ETL scripting and API-driven data ingestion. - Knowledge of Power BI datasets, Azure Monitor, and Log Analytics. - Familiarity with DataOps and data governance frameworks.Experience- 8–12 years of experience in data engineering, with at least 4–5 years on Azure Cloud. - Proven experience in data lake / data warehouse implementation using Azure-native services. - Exposure to financial data models (Customer, Loans, Investments, Transactions) preferred.Job Location: Bangalore (initially will have to work from our Kochi Office, as Bangalore office is yet to open)