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Data Engineer

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NTT DATA

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Data Engineer role involves migrating data from on-prem DataLake to AWS LakeHouse, requiring expertise in Python, Kafka, and Snowflake. Candidates should have 3-5 years of experience in data engineering, with a strong focus on data validation and stakeholder engagement. A Bachelor’s or Master’s degree in a quantitative field is required.

Job Responsibility:

  • Engineer will be part of the datastore-migration Factory team that will be responsible to perform for the end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse
  • Pipeline MigrationLogic & Scheduling: Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment
  • Data Transfer: Executing the physical migration of underlying datasets while ensuring data integrity
  • Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating 'handoff and sign-off' conversations with data owners to ensure migrated assets meet business requirements
  • Consumption Pattern MigrationCode Conversion: Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg
  • Usage analysis: Understand usage patterns to deliver the required data products
  • Data Reconciliation & Quality: A rigorous approach to data validation is required
  • Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows
  • Engineer will also need to work with our other internal data management platform, and must have an aptitude for learning new workflows and language constructs as necessary

Requirements:

  • Bachelor’s or Master’s 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 trouble shoot (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 & K8s deployment experience
  • Candidates must demonstrate a sophisticated understanding of the following modeling concepts: Temporal Data Modeling, Schema Management, Performance Optimization, Architectural Theory
  • Technical Stack Requirements: Extraction & Logic: Kafka, ANSI SQL, FTP, Apache Spark
  • Data Formats: JSON, Avro, Parquet
  • Platforms: Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ

Additional Information:

Job Posted:
April 19, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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