Senior Data Engineer

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  Fin Tech, 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.