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Tier-1 employer and metro location but specialized Databricks/Azure skills limit broad applicant pool.
Role requires specialized Azure Databricks and Delta Lake experience, reducing cross-industry portability moderately.
Multiple explicit years and many mandatory Azure/Databricks/CI-CD technical requirements drive high strictness.
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Design and develop scalable and optimized data pipelines using Databricks, Apache Spark, Python on Azure with Azure Data Lake, Azure Data Factory, and Delta Lake.
Collaborate with Data Science and AI teams to operationalize ML models into production workflows, maintaining feature stores and real-time streaming frameworks.
Ensure data quality, governance, security, provide production support and drive automation to improve engineering efficiency in Agile environments.
Bachelor's degree in Computer Science, Engineering, or IT related field.
6+ years of Data Engineering experience with Python/PySpark and building ETL/ELT pipelines using Databricks.
Strong experience with SQL/PL-SQL (5+ years) and Azure services including Databricks, Data Factory and Data Lake (3+ years).
Experience with CI/CD pipelines (4+ years), Databricks Delta Live Tables (2+ years), and pipeline testing frameworks (2+ years).
Experienced data engineer with deep specialization in Azure cloud-native tools and Databricks ecosystem including Delta Lake and Delta Live Tables.
Comfortable working in Agile development environments with CI/CD and automation focus, supporting production data workflows and operational ML integration.
Skilled in optimizing performance and reliability of large-scale batch and streaming data pipelines, emphasizing governance and security.