Senior Data Engineer
Summary
Senior Data Engineer at Bachatt in India building data reconciliation frameworks and ETL/ELT pipelines to ensure financial data integrity across multiple systems. Day to day involves SQL-based validation, automated data quality checks, root-cause analysis of data breaks, and collaborating with Product, Finance, and Operations teams.
Job Description
About the Role We’re looking for a Data Engineer with 4+ years of experience , with strong hands-on expertise in data reconciliation, financial data integrity, and large-scale data validation . You’ll work closely with Product, Engineering, Finance and Operations teams to build reliable data pipelines and ensure accuracy across multiple systems. Key Responsibilities Build and maintain data reconciliation frameworks across multiple systems. Develop automated checks to identify mismatches, discrepancies and missing data. Build and maintain ETL/ELT pipelines for large datasets. Perform transaction-level and aggregate-level reconciliation. Investigate data breaks and perform root-cause analysis. Develop SQL-based validation and data quality checks. Automate manual reconciliation processes. Work with cross-functional teams to translate business logic into scalable data solutions. Must-Have Skills 4+ years in Data Engineering with strong reconciliation experience. Excellent SQL and experience handling large datasets. Hands-on experience building reconciliation/validation frameworks. Strong understanding of ETL/ELT, databases and data warehousing . Strong analytical and problem-solving skills. Experience troubleshooting data discrepancies and data quality issues. Good to Have Experience in FinTech, Banking, Payments, Lending or Investments . Experience with financial/transactional data, settlements, ledgers or payments. Exposure to Airflow, Spark, Kafka, AWS/GCP/Azure, Snowflake or Databricks . Experience working with third-party APIs and external data sources.