Data Engineer III

SGS Consulting

Remote

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

Apply

Vacancy posted more than 2 months ago

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