Stage | Data Engineer
Core
Building and maintaining ETL/ELT pipelines on Databricks Spark clusters to support data management and analytics in enterprise contexts.
Role type
Stage Data Engineer
Builds
Data pipelines and analytics infrastructure
Domain
Enterprise data management and analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Scala (familiarity), Git, Cloud platforms (Azure/AWS/GCP)
Preferred skills
None stated
Technologies
Databricks, Spark, Azure, AWS, GCP
Responsibilities
Develop and maintain ETL/ELT pipelines via Databricks notebooks and jobs; Support data collection, organization, and preparation; Query data using SQL and analytics tools; Participate in data analytics and management projects; Understand end-to-end data flows from source to analytical consumption
Seniority
Intern/Stage
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