AWS ETL Data Engineer - HYBRID

NTT
Memphis
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Ownership","Accountability","Code reviews","Design reviews","Cross-team collaboration"]

Design, develop, and support scalable enterprise data platforms while meeting privacy and data governance requirements. Build ETL/ELT pipelines on AWS using Spark, AWS Glue, Lambda, and automation tools, and work with Redshift and data lake technologies like S3, Hive, and Apache Iceberg. Perform query tuning, optimize performance, integrate diverse data formats, and provide production support and root-cause analysis for complex data issues.

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FursaFursa
NTT
NTT
1 month ago

AWS ETL Data Engineer - HYBRID

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Last checked: 4 days agoStatus: Live

Job Summary

Design, develop, and support scalable enterprise data platforms while meeting privacy and data governance requirements. Build ETL/ELT pipelines on AWS using Spark, AWS Glue, Lambda, and automation tools, and work with Redshift and data lake technologies like S3, Hive, and Apache Iceberg. Perform query tuning, optimize performance, integrate diverse data formats, and provide production support and root-cause analysis for complex data issues.
Location: Memphis
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key 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.
  • •Provide production support, root-cause analysis, and investigation for complex data platform issues and data anomalies.

Key Requirements

  • •Experienced technical resource who can design, develop, support, and enhance enterprise data platforms while ensuring privacy and data governance compliance.
  • •Ability to design and maintain scalable ETL/ELT pipelines using Spark (Scala/Python), AWS Glue, Lambda, and shell scripting.
  • •Hands-on experience building ETL/ELT processes across AWS (S3, Hive, Apache Iceberg, Amazon Redshift).
  • •Ability to develop and maintain Redshift SQL/PLSQL code, including stored procedures and data-processing frameworks.
  • •Proficiency in analyzing and troubleshooting complex data issues using Redshift SQL, MySQL, Python/PySpark, shell scripting, and Excel.
Skills:OwnershipAccountabilityCode reviewsDesign reviewsCross-team collaboration
Tech Stack:AWSS3EC2RedshiftRedshift SQLPLSQLAWS GlueAWS LambdaKafkaAirflowApache IcebergSparkScalaPythonPySparkShell scriptingHiveS3 TablesS3 HiveMySQL

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn