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Tier-1 bank mid-level Azure/PySpark data engineer in Bangalore attracts many qualified applicants.
Azure and PySpark data engineering skills transfer easily across industries.
Explicit 6+ years and required Azure, PySpark, Databricks skills make shortlisting strict.
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Own design and development of PySpark code and data ingestion/enhancement frameworks on Microsoft Azure ecosystem.
Work hands-on with Azure services including Databricks, Data Factory, ADLS; ensure data quality via testing and validation.
Resolve analytical and troubleshooting issues in a timely manner while collaborating across teams.
6+ years work experience in Microsoft Azure environment.
Strong hands-on experience with PySpark, Azure Databricks, Data Factory, and ADLS.
Good understanding of ETL processes and data warehousing concepts.
Experience with Azure DevOps build and release pipelines is advantageous but not mandatory.
Experienced in architecting scalable and reusable data frameworks within Azure cloud infrastructure.
Technically adept at developing in PySpark with knowledge of design patterns and principles.
Capable of working effectively both autonomously and collaboratively in cross-cultural teams.