Data Engineer
Hybrid
Core
Build, maintain, and optimize scalable data pipelines and infrastructure while ensuring data quality and integration from various sources.
Role type
Junior Data Engineer
Builds
Scalable data pipelines and data infrastructure
Domain
Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, ETL concepts, data warehousing fundamentals, data integration, data quality assurance, troubleshooting
Preferred skills
Cloud platforms (AWS, GCP, Azure), data visualization tools (Power BI, Tableau)
Technologies
PostgreSQL, MySQL, SQL Server, AWS, GCP, Azure, Power BI, Tableau
Responsibilities
Design and develop data pipelines, support data integration from databases and APIs, monitor and troubleshoot data workflows, collaborate with analysts and scientists, participate in code reviews
Seniority
Junior, early career
