Data Engineer
Core
Build and maintain reliable, scalable data pipelines on Databricks to power enterprise business functions.
Role type
Entry-level Data Engineer
Builds
Data pipelines (ETL/ELT) on Databricks
Domain
Data Engineering / Cloud Platforms
Deliverable
production ML models
Required skills
Python (PySpark), SQL, Databricks, CI/CD, Git version control
Preferred skills
Orchestration frameworks, streaming technologies, Infrastructure-as-Code, observability tooling
Technologies
Databricks, Python, PySpark, SQL, AWS, Git
Responsibilities
Develop ETL/ELT processes with focus on data quality and scalability; Contribute to reusable frameworks for ingestion and transformation; Assist with deploying changes through CI/CD and Change Request lifecycle; Monitor data workloads and support incident response; Document workflows and runbooks for reproducibility.
Seniority
Entry-level, hands-on IC
