AWS ETL Data Engineer - REMOTE

NTT DATA is seeking an experienced AWS ETL Data Engineer to support enterprise data platforms and solutions. The role focuses on designing scalable data pipelines, developing ETL/ELT processes, ensuring data governance and privacy compliance, troubleshooting data issues, and providing technical leadership across data engineering initiatives.

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Spark (Scala/Python), AWS Glue, AWS Lambda, and Shell scripting
• Build and support ETL/ELT processes across AWS platforms, including S3, Hive, Apache Iceberg, and Amazon Redshift
• Develop and maintain Redshift SQL/PLSQL code, stored procedures, and data-processing frameworks
• Perform query tuning, performance optimization, and data-sharing implementations
• Support ingestion and processing of structured and semi-structured data formats including JSON, CSV, XML, ORC, Parquet, and Avro
• Design, enhance, and support solutions that provide a unified view of customer data across systems
• Integrate multiple data sources, applications, and business processes to support reporting, analytics, and customer engagement initiatives
• Collaborate with business and technical teams to define and implement scalable data solutions
• Manage and support Data Subject Requests (DSRs), including customer data erasure requests
• Work closely with the DPO team to ensure compliance with privacy regulations and internal policies
• Maintain and support the MicroStrategy Privacy Compliance module. (Very infrequent once in year or 2 years)
• Contribute to data governance initiatives that improve data quality, consistency, and compliance
• Analyze and troubleshoot complex data issues using Redshift SQL, MySQL, Python/PySpark, Shell scripting, and Excel
• Investigate data mismatches, reporting issues, and business data anomalies
• Support business analysis related to customer tiers, loyalty programs, and email marketability
• Provide production support and root-cause analysis for critical data platform issues
• Participate in Customer 360, Privacy, Data Governance, and Phaedon initiatives
• Conduct code reviews and design reviews
• Provide cross-team technical support and problem resolution
• Research, design, and develop next-generation data capabilities and products
• Act as a subject matter expert for customer data platforms

Requirements:

• Strong ownership and accountability
• Strong AWS Data Engineering stack awareness
• Ability to bridge business and technical teams
• Expertise across engineering, analytics, compliance, architecture, and operational support
• Adaptability and willingness to take on diverse data-related challenges
• 12+ years of experience in Data Warehouse / Big Data ecosystems
• 5+ years in a lead /SME  role
• 5+ years with AWS architecture and data engineering, including S3, EC2, Redshift (RA3/Serverless), S3 Tables, S3 Hive, AWS Glue, Lambda (Python), Kafka, Airflow, Apache Iceberg
• 3+ years with Spark (Scala/Python)
• 5+ years with SQL/PLSQL, MySQL
• 5+ years strong understanding of:
• Data architecture & dimensional modeling
• ETL/ELT frameworks
• Distributed data processing
• Cloud data platforms
• Data governance and security
• Experience managing large-scale enterprise data environments
• Proven track record of delivering complex data programs
• Excellent communication and stakeholder management abilities
• Experience in large enterprise or global delivery environments
• Exposure to data modernization and cloud transformation programs
• Certifications in cloud platforms or data engineering
• Experience in regulated industries (Hospitality, Finance, Healthcare, Telecom, etc.)