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Senior Data Engineer
Skills
Computer ScienceAdoptionData IntegrityDatabasesDownstream Oil And GasEasily AdaptableEvolution
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 8+ years in data engineering or ETL
- Strong hands-on architecture and platform-building experience
- Expert-level SQL and RDBMS skills
- Deep experience with SQL Server and Postgres
- Experience with schema design and performance tuning
- Experience with complex query optimization and root-cause analysis
- Hands-on AWS experience
- Experience with ClickHouse dbt and open-source orchestration tools
- Strong Python programming skills
- Demonstrated ability to prototype benchmark and evaluate new technologies
- Experience using AI coding tools and prompt-based development
- Bachelor's or Master's degree in Computer Science Engineering or related field
Nice to have
- Leadership mindset
- Pragmatic decision-making
- Mentoring ability
- Adaptable thinker
- Detail-oriented
Day to day
- Architect and evolve the next-generation data delivery platform while staying deeply hands-on in day-to-day engineering work.
- Build proofs-of-concept to evaluate new technologies and translate findings into pragmatic recommendations for broader adoption.
- Lead, mentor, and grow a distributed team of data engineers while setting technical standards through code reviews, design guidance, and strong execution.