- 10+ years relevant data engineering hands on work experience- data ingestion, processing, exploratory analysis to build solutions that deliver value through data as an asset.
- Data engineer build ,test and deploy data pipelines efficiently and reliably move data across systems and should be top of latest architectural trends on AZURE cloud.
- Folks who understand parallel and distributed processing, storage, concurrency, fault tolerant systems.
- Folks who thrive on current technologies, able to adapt and learn easily to meet the needs of next generation engineering challenges.
Technical Skills (Must-Have)
- Applied experience with distributed data processing frameworks - Spark , Databricks with Python and SQL
- Must have worked at least 2 end-end data analytics projects with Databricks Configuration , Unity Catalog, Delta Sharing and medallion architecture.
- Applied experience with Azure Data services ADLS , Delta Lake , Delta Live Tables , Azure Storage, RBAC
- Applied experience with Unit Testing and System Integration Testing using Python framework.
- Applied experience with Devops to design and deploy CI/CD pipelines using Jenkins.
- AZURE Data Engineering(DP203) or DATABRICKS certification
- Prior working experience with high performance agile team - Scrum , JIRA ,JFrog and Confluence
📌 Python Azure Lead (Bengaluru)
🏢 Glauben Technologies
📍 Bengaluru
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