Data Engineer
Core
Build robust data models and transform raw data into trusted, reusable datasets to support business strategies and data visualization.
Role type
Data Engineer
Builds
Data products, scalable logical and physical data models, and data pipelines
Domain
Energy & Chemicals / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, data modeling (star schema), Snowflake, DBT, Azure, ADF, GitHub workflows, Python
Preferred skills
Snowflake certifications, DBT certifications, Azure certifications, data warehouse technologies, CI/CD, cloud platforms (AWS, GCP), Qlik Replicate, NiFi, Fivetran
Responsibilities
Develop data products by implementing robust data models and transforming raw data; Design and implement scalable logical and physical data models; Monitor and optimize data deployment and production workflows; Support data visualization dashboards; Analyze business data requirements and translate them into technical specifications; Maintain clear documentation for data pipelines, processes, and workflows
Seniority
0–5 years experience