Job Description
Data Engineer/Developer
Role Summary
Design, build, and optimize Azure data pipelines and lakehouse solutions.Deliver secure, reliable datasets with strong governance, automation, and
documentation. Collaborate across teams and contribute to standards in an Agile
setting.
Must-Have (Day 1)
Experience: 4–6 years in data engineering
Core Platform: Databricks with Python, Spark, Pandas (notebooks and modular code)
Orchestration: Azure Data Factory (pipelines, integration runtimes); ingest from diverse sources
Lakehouse: Delta Lake fundamentals; Medallion architecture (bronze/silver/gold) in production
Storage/SQL/Performance: Azure Data Lake Storage (ADLS); strong SQL; performance-aware design
Data Patterns: ETL/ELT; data modeling (, dimensional/star schema)
DevOps & Security: CI/CD for data projects (Azure DevOps or GitHub Enterprise); familiarity ...
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