Data Engineer
GAC Solutions
- Minimum 8+ years of overall Data Engineering / Software Engineering experience delivering enterprise-scale data solutions.
- Minimum 5+ years of strong hands-on Data Engineering experience , including design, development, optimization, and support of production data pipelines.
- Minimum 3+ years of hands-on Databricks experience , including production experience with:
- Medallion Architecture – Bronze / Silver / Gold
- Unity Catalog
- Minimum 5+ years of hands-on Spark experience , with strong expertise in PySpark specifically , rather than Scala-only Spark development.
- Minimum 3+ years of AWS data-platform experience , using services such as S3, Glue, Lambda, EMR, Redshift, Kinesis, or related AWS technologies.
- Minimum 2+ years of experience leading complex data-engineering initiatives, technical workstreams, or engineering teams while remaining hands-on technically.
- Proven experience combining data engineering and software-engineering practices , including modular development, testing, source control, CI/CD, observability, and production support.
- Demonstrated daily hands-on use of GitHub Copilot and/or Claude Code CLI , with the ability to describe concrete examples of how these tools are used to accelerate engineering work.
- Demonstrated ability to build POCs and MVPs rapidly using AI-assisted development .
- Strong understanding of distributed data-processing principles, large-scale pipeline design, performance optimization, data quality, and production operations.
- Strong SQL skills and experience working with large enterprise datasets.
Vacancy posted 8 hours ago
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