Live opening · Posted 10 days ago
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About the role
Description supplied by the original job listing.
What You’ll Need
3–5 years of experience in data engineering, with a track record of delivering pipelines in production environments
Hands-on Databricks experience: Delta Lake, Databricks Workflows, Unity Catalog, and Databricks SQL
Strong proficiency in Apache Spark (PySpark preferred) and SQL for large-scale data transformation
Experience with cloud data platforms — AWS (S3, Glue, Redshift, Lambda) and/or Azure (ADLS, Synapse, ADF)
Familiarity with Delta Live Tables or equivalent declarative pipeline frameworks
Solid understanding of data modeling concepts — dimensional modeling, medallion architecture, schema design
Experience working in Agile or sprint-based delivery environments
Comfortable working directly with stakeholders to translate requirements into technical solutions
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
Work arrangement
No
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