Data Engineer - Python AND Kafka AND (Hadoop OR HDFS OR Hive) AND Snowflake AND apache AND (iceberg

Req ID: 367336

NTT DATA strives to hire exceptional, innovative 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 learning new workflows and language constructs as necessary. Technical Skills: Basic Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field. Experience: 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. Languages: Professional proficiency in  Python or  Java . Methodology: Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience. Core Data Engineering Competencies:   Candidates must demonstrate a sophisticated understanding of the following modeling concepts to ensure data correctness during reconciliation: Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2). Schema Management: Expertise in Schema Evolution (Ref: Iceberg Apache) and enforcement strategies. Performance Optimization: Advanced knowledge of data partitioning and clustering. Architectural Theory: Balancing Normalization vs. Denormalization and the strategic use of Natural vs. Surrogate Keys. Technical Stack Requirements:  While candidates are not expected to be experts in every tool, the collective team must cover the following technologies: Extraction & Logic Kafka, ANSI SQL, FTP, Apache Spark Data Formats JSON, Avro, Parquet Platforms Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ Core Competencies: Demonstrates  strong integrity and consistently models  good conduct and ethical decision-making.Acts as a  trusted team player who collaborates effectively across  multiple teams and functions.Communicates with  clarity and confidence - concise written updates, structured verbal briefings, and proactive stakeholder management.Works effectively with  global teams across time zones and cultures; builds alignment and resolves issues constructively. Delivery-focused with a strong sense of ownership; drives work to closure and meets commitments.Brings  high energy and urgency to achieve targets while maintaining quality and professionalism.Shows intellectual curiosity;  asks thoughtful questions , surfaces risks early, and seeks feedback to continuously improve.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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