Data Engineer III
SGS Consulting
Job Responsibilities:
- Design, build, and maintain scalable ETL/ELT data pipelines using Client’s internal tools (Dataswarm, Spark, etc.)
- Build and maintain dashboards and reporting tools (Unidash, internal BI platforms)
- Partner with Data Scientists and Product teams to vet data quality and ensure metric integrity
- Develop and maintain production-grade Hive/Presto tables with proper documentation and SLAs
- Monitor pipeline health, troubleshoot data quality issues, and implement alerting
- Optimize query performance and data models for efficiency at scale
- Support ad-hoc data requests and enable self-serve analytics for cross-functional partners
Skills:
- SQL + Python (Presto/Hive/SparkSQL)
- Experience building and maintaining data pipelines (Airflow, Dataswarm, or similar orchestration tools)
- Familiarity with data warehousing concepts and dimensional modeling
- MAANG Experience/Big Tech
- 5+ years of relevant experience in data engineering
- Experience with large-scale data processing frameworks (Spark, Hadoop)
- Experience with dashboard/visualization tools (Tableau, Unidash, or similar)
- Experience with logging infrastructure and instrumentation
- Familiarity with version control systems (Git, Mercurial)
- Experience working in a fast-paced, cross-functional environment
- Prior experience at a large tech company
Education/Experience:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field
- 3+ years of experience in data engineering, analytics engineering, or a related role
- Strong proficiency in SQL (Presto/Hive/SparkSQL)
- Experience building and maintaining data pipelines (Airflow, Dataswarm, or similar orchestration tools)
- Experience with Python or similar scripting language
- Familiarity with data warehousing concepts and dimensional modeling
- Strong problem-solving skills and attention to data quality
Vacancy posted 9 days ago
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