Req ID: 390688

NTT DATA strives to hire exceptional, creative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Engineer - Python AND Kafka AND (Hadoop OR HDFS OR Hive) AND Snowflake AND apache AND (iceberg to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Responsibilities:

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. This is a high visibility and crucial project for Goldman Sachs.

Responsibilities of the Engineer includes:

Pipeline Migration
Logic & 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 Migration
Code 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.
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.

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 le

📌 Data Engineer (Bengaluru)
🏢 NTT DATA Services
📍 Bengaluru