
Chief Data Architect
1 day ago
We are seeking a highly skilled Data Engineer to design and implement modern data platforms using Azure technologies.
Main Responsibilities:- Lead Databricks Architecture, development, and operations to ensure efficient data processing and analysis.
- Build and optimize ETL/ELT pipelines with Python (PySpark) to handle large datasets.
- Set up and maintain CI/CD pipelines with Git/DevOps tools for seamless deployment and integration.
- Design scalable data lakes, warehouses, and lakehouses to store and manage massive amounts of data.
- Optimize Databricks clusters, jobs, and workflows (batch and streaming) for maximum performance.
Requirements:
- 5+ years of experience in data engineering with expertise in Databricks and Apache Spark.
- Hands-on experience with Unity Catalog for governance, security, and lineage.
- Proven track record of building and optimizing ETL pipelines (Azure Data Factory, Informatica, etc.).
- Solid understanding of CI/CD practices, Git integration, and automation for Databricks.
Bonus points if you have experience with big data and cloud computing
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