About the Role

nWe’re looking for a Data Engineer with 4+ years of experience , with robust hands-on expertise in data reconciliation, financial data integrity, and large-scale data validation .

nYou’ll work closely with Product, Engineering, Finance and Operations teams to build reliable data pipelines and ensure accuracy across multiple systems.

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nKey Responsibilities

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Build and maintain data reconciliation frameworks across multiple systems.
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Develop automated checks to identify mismatches, discrepancies and missing data.
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Build and maintain ETL/ELT pipelines for large datasets.
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Perform transaction-level and aggregate-level reconciliation.
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Investigate data breaks and perform root-cause analysis.
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Develop SQL-based validation and data quality checks.
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Automate manual reconciliation processes.
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Work with cross-functional teams to translate business logic into scalable data solutions.
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nMust-Have Skills

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4+ years in Data Engineering with solid reconciliation experience.
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Excellent SQL and experience handling large datasets.
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Hands-on experience building reconciliation/validation frameworks.
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Robust understanding of ETL/ELT, databases and data warehousing .
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Strong analytical and problem-solving skills.
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Experience troubleshooting data discrepancies and data quality issues.
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nGood to Have

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Experience in FinTech, Banking, Payments, Lending or Investments .
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Experience with financial/transactional data, settlements, ledgers or payments.
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Exposure to Airflow, Spark, Kafka, AWS/GCP/Azure, Snowflake or Databricks .
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Experience working with third-party APIs and external data sources.
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📌 Senior Data Engineer Haryana
🏢 Bachatt
📍 Haryana