Description

Key Responsibilities
· Design, build, and support end-to-end data pipelines (ingestion, transformation, validation, publishing).
· Develop and optimize SQL, PySpark, Databricks transformations for large datasets.
· Build production-grade Python/Pyspark components (reusable modules, logging, error handling, testing).
· Create and maintain Azure Data Factory (ADF) pipelines (triggers, parameterization, monitoring, failure handling).
· Work within Azure environments (ADLS Gen2, Azure SQL, resource groups, portal operations).
· Provision and maintain Azure components using Pulumi (Infrastructure as Code).
· Participate in code reviews, documentation, and operational support (triage + root cause analysis).

Must-have Skills (Required)

· ETL / ELT Concepts: Strong understanding of pipeline patterns, incremental loads, data validation, and troubleshooting.
· SQL: Advanced querying (CTEs, views, joins, complex query logic) and performance tuning for transformations and validation.
· Python: Production-quality development (modular code, testing, logging, integration with APIs/files, CICD, Unit Test/Integration test automation, Code Coverage).
· PySpark: Distributed transformations and performance optimization (joins, partitions, debugging), CICD, Unit Test/Integration test automation, Code Coverage.
· Azure Data Factory (ADF): Build/operate ADF pipelines, parameterization, triggers, monitoring, retry/error handling; integrate with Databricks/ADLS.

· Databricks: Develop and operationalize notebooks/jobs/workflows; Delta Lake patterns; basic cluster/job configuration. New features - Genie Spaces, Delta Share, Unity Catalog, AI functions, Agent bricks and advanced optimization techniques.

· Azure Fundamentals + Pulumi: Hands-on with ADLS Gen2, Azure Portal, Storage Explorer, Resource Groups, Azure SQL, Azure Batch and familiarity integrating with Azure OpenAI. Able to use/maintain Pulumi scripts for provisioning and managing Azure resources across environments.

· Experience with Azure API Services and Azure Function Apps using Python.

Nice-to-have Skills

· R: Ability to support/translate validation rules with SQL scripts and create data quality reports.
· TypeScript: Useful for pulumi pipeline to create Azure components.
· Java: Useful for integration with existing services/components.
· .NET: Useful for integration with existing services/components.
· Angular / Spring Boot: Minor troubleshooting or coordination with app teams

Key Skills

Education

Any Graduate