Senior Data Engineer
Skills
Warehouse OperationsBusiness IntelligenceData AnalyticsData ArchitectureData WarehousingDownstream Oil And GasModeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years experience in data engineering
- Strong SQL skills and experience building and optimizing data models for analytical use cases
- Experience building and maintaining reliable data pipelines in a modern cloud data environment
- Strong proficiency in Python or a comparable programming language commonly used in data engineering
- Experience building programmatic ETL/ELT pipelines using Python or similar tools to move and transform data across systems
- Experience working with data warehouses such as Snowflake
- Experience with transformation and orchestration tools such as dbt Airflow Dagster or similar tools
- Strong understanding of data architecture data modeling and pipeline design best practices
- Ability to operate independently prioritize effectively and drive work forward in a fast-moving environment
Nice to have
- Independent
- Collaborative
- Analytical
- Detail-oriented
- Proactive
Day to day
- Design, build, and maintain scalable data pipelines and ELT/ETL workflows that support analytics, reporting, and business intelligence.
- Build programmatic Python pipelines that extract, transform, and deliver data from application and third-party systems to downstream consumers.
- Partner with Product, Engineering, and Analytics teams to shape reliable data solutions, improve data quality, and strengthen the modern data stack.