Senior Data Engineer (Pipeline)
DemandbaseFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need hands-on experience in software/data engineering, proficiency in Python, working knowledge of PySpark or similar distributed data frameworks, familiarity with Databricks, understanding of data delivery patterns like REST APIs and event-driven architectures, and experience with SQL and structured data manipulation.
Key responsibilities include contributing to data pipelines using Python, PySpark, and Databricks; supporting delivery of enriched datasets via APIs and event-driven mechanisms; assisting in data ingestion and transformation across medallion architecture; collaborating with cross-functional teams; and participating in code reviews, testing, and documentation.
This information is not specified in the job description.
This information is not specified in the job description.
You'll collaborate with senior engineers, technical leads, cross-functional teams including engineers, data analysts, and product managers in a collaborative and customer-focused environment.
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