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# Data Engineer Advisor

- **Company:** NTT DATA, Inc.
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $187,200.0 - $197,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Big Data, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Github, Marketing Information Systems, SQL Databases, Sql Optimization, Apache Spark, Microsoft Fabric, Information Technology, Code Restructuring, Azure Synapse Analytics, Software Version Control, Data Pipelines
- **Published:** June 2, 2026
- **Apply:** https://www.dice.com/job-detail/bf903a70-47de-4924-bd5f-07ac8de8ab5b

## About the Role

8-10 years of hands-on data engineering experience.
Strong understanding of Apache Spark and its core concepts.
Proficiency in Scala and/or Java - code-first approach required.
Advanced SQL skills.
Experience with Azure Synapse.
Working knowledge of GitHub for source control.
Experience with data warehousing and large-scale data integration.

Travel: This position may require a commitment to 4 days/week in client''s office in Midtown, ATL.
Degree: Bachelor''s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.

Nice to Have:
Experience with Microsoft Fabric.
Background in marketing data or consumer goods analytics.
Familiarity with metadata-driven architectures.

Non-Negotiables:
Must be a hands-on builder.
Must be available to mobilize immediately.

## Description

We are seeking a Senior Data Engineer to join the core Symphony platform team in an onshore capacity. This is a hands-on development role focused on building, maintaining, and optimizing data pipelines and warehousing solutions. The engineer will work within a local-first development model and is expected to be a strong, independent contributor capable of owning complex workstreams.

Day to Day Job Duties:
Design, develop, and maintain data pipelines using Scala and SQL on Apache Spark.
Monitor and support Phase 1 pipelines post go-live.
Investigate and remediate pipeline failures, data quality issues, and performance bottlenecks.
Lead refactoring and cleanup of existing Phase 1 code.
Optimize existing solutions for performance and scalability.
Build and contribute to reusable patterns and automation frameworks.
Work within TCCC''s metadata-driven architecture.
Ensure pipelines are used strictly for scheduling - ETL logic must remain in code.
Manage code using GitHub version control.
Contribute to discovery sessions to derive requirements directly from data.


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