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Data Engineer

India, Bangalore · Job Posted April 23, 2026
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Job Description

The Data Engineer will be responsible for end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse. This role requires a minimum of 3-5 years of hands-on experience in data engineering, with proficiency in Python, Kafka, and Snowflake. The candidate will engage with stakeholders to ensure data integrity and quality during the migration process.

Job Responsibility

  • Perform end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse
  • Pipeline migration including refactoring and migrating extraction logic and job scheduling
  • Data Transfer executing physical migration of underlying datasets while ensuring data integrity
  • Stakeholder Engagement acting as a technical liaison to internal clients
  • Code Conversion translating and optimizing legacy SQL and Spark-based consumption patterns for compatibility with Snowflake and Iceberg
  • Usage analysis to understand usage patterns to deliver required data products
  • Data Reconciliation and Quality with a rigorous approach to data validation
  • Work with other internal data management platform

Requirements

  • Bachelor or Master degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field
  • Minimum of 3-5 years of professional hands-on-keyboard coding experience in a collaborative, team-based environment
  • Ability to troubleshoot (SQL) and basic scripting experience
  • Professional proficiency in Python or Java
  • Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices and K8s deployment experience
  • Demonstrated understanding of Temporal Data Modeling, Schema Management, Performance Optimization, Architectural Theory
  • Experience with Kafka, ANSI SQL, FTP, Apache Spark
  • Experience with JSON, Avro, Parquet
  • Experience with Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ

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