Hiring: AWS ETL Data Engineer - HYBRID Company: NTT DATA North America Location: Memphis, TN Job Posted Time: 2026-09-11 07:43:02 Employment Type: Remote Target Skills & Keywords : AWS, Accessibility, Airflow, Avro, Data Pipeline, Data Warehouse, EC2, ELT, ETL, Hive, Iceberg, Kafka, Lambda, MySQL, Parquet, PySpark, Python, R, Redshift, S3, SQL, Scala, Serverless, Shell, Spark About the job Experience: •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 Required Skills: •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. •Partner cross-functionally with business and technical teams to define and implement scalable data solutions. Compensation: •$97,725 - $162,875 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!