AWS ETL Data Engineer - HYBRID

NTT DATA, Inc.; Memphis (TN); On-site; USD 97,725 - 162,875; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) matching

Paid time off

Employee assistance

FSA/HSA option

Job summary

NTT DATA, Inc. in Memphis, TN is seeking an AWS ETL Data Engineer - HYBRID to design, develop and support enterprise data platforms with privacy governance in mind.

You will build scalable data pipelines using Spark, AWS Glue and Redshift, integrate multiple sources, and provide production support while collaborating with cross-functional teams. 15+ years of data experience preferred. Hybrid work model offered.

Qualifications

• 12+ years in Data Warehouse/Big Data environments.
• 5+ years in a lead/ SME role.
• 5+ years with AWS architecture and data engineering (S3, Redshift, Glue, Lambda).
• 3+ years with Spark (Scala/Python).
• 5+ years SQL/PLSQL, MySQL experience.
• Strong understanding of ETL/ELT, distributed processing, governance and security.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Spark, AWS Glue, Lambda, and shell scripting.
• Build and support ETL/ELT processes across AWS platforms (S3, Hive, Iceberg, Redshift).
• Develop Redshift SQL/PLSQL code, stored procedures, and data-processing frameworks.
• Tune queries, optimize performance, and implement data sharing.
• Ingest and process JSON, CSV, XML, ORC, Parquet, and Avro formats.
• Collaborate to deliver unified customer data across systems.
• Integrate multiple sources to support reporting, analytics, and engagement.
• Provide production support and root-cause analysis for data platform issues.
• Manage Data Subject Requests (DSRs) and privacy compliance with the DPO.
• Maintain MicroStrategy Privacy Compliance module (infrequent).

Skills

AWS Data Engineering

Spark (Scala/Python)

Redshift/SQL

ETL/ELT

Data Governance

Tools

MySQL

Job description

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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.

We are currently seeking a AWS ETL Data Engineer - HYBRID to join our team in Memphis, Tennessee (US-TN), United States (US).

We are seeking an experienced technical resource who could design, develop, support, and enhance enterprise data platforms while ensuring compliance with privacy and data governance requirements. The role combines data engineering, systems integration, analytics, solution design, and operational support.

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.
• 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.

Technical Leadership & Collaboration

• 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.

Primary Technologies

• Spark (Scala/Python)
• Redshift SQL/PLSQL, MySQL
• Data Modeling and Query Optimization

Key Strengths

• 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:
• ETL/ELT frameworks
• Distributed data processing
• Data governance and security

Preferred Skills

• 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.).

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $97,725 – 162,875. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, lifeand AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

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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.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Nearest Major Market: Memphis
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