Senior Data Engineer
1 week ago
Key Responsibilities:
- Lead the migration of existing ETL processes from Azure Data Factory and SQL procedures to Databricks
- Redesign and optimize 15 data models
- Implement Delta Lake and Databricks SQL for efficient data warehousing
- Develop scalable and performant data pipelines using Spark and Delta Live Tables
- Collaborate with BI and data science teams to ensure data accessibility and quality
- Redesign the batch ingestion process from multiple data sources to optimize for Databricks architecture
Required Skills:
- 7+ years of experience in data engineering, with at least 2 years working with Databricks
- Strong proficiency in Spark, SQL, and Python
- Experience migrating from traditional data warehouses to modern lakehouse architectures
- Expertise in designing and implementing ETL/ELT processes
- Familiarity with Azure cloud services, particularly Azure Synapse and ADF
- Strong background in popular dimensional modeling and data warehouse design such as Medallion, Data Vault
- Experience with batch processing and data ingestion frameworks
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