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Sr Azure Data Engineer Pune Onsite

Sr. Azure data engineer - Pune (onsite)💼 Full-time🗓 2026-07-26

Core

Lead design, build, and operationalization of cloud-native data solutions for external clients, managing end-to-end enterprise projects from discovery to Go-Live.

Role type

Senior Azure Data Engineer / Consultant

Builds

Cloud-native data solutions using Synapse, Fabric, PySpark, and SQL

Domain

Cloud data engineering and data warehousing

Deliverable

production ML models | product features

Required skills

Azure Synapse/Fabric/Databricks, Data Warehousing, PySpark, SQL, CI/CD, Medallion architecture, Agentic AI concepts

Preferred skills

Azure Purview, Data Catalogs, Orchestration frameworks (ADF, Synapse Pipelines), Spark optimization, Data-quality frameworks, Power BI

Technologies

Synapse, Fabric, PySpark, SQL, ADF, Great Expectations, Power BI

Responsibilities

Partner with external clients to ingest, model, transform, and serve high-volume data; Establish best practices around CI/CD, security, and data quality within a medallion architecture; Manage delivery of End-To-End Enterprise projects

Seniority

Senior, hands-on IC

Rewrite
## About the role We're seeking a seasoned Azure Data Engineer / Consultant to lead design, build, and operationalize cloud-native data solutions. You'll partner with external clients—from discovery through Go-Live—to ingest, model, transform, and serve high-volume data using Synapse, Fabric, PySpark, and SQL. You'll also establish best practices around CI/CD, security, and data quality within a medallion architecture. ## Responsibilities - Lead design, build, and operationalize cloud-native data solutions. - Partner with external clients—from discovery through Go-Live—to ingest, model, transform, and serve high-volume data using Synapse, Fabric, PySpark, and SQL. - Establish best practices around CI/CD, security, and data quality within a medallion architecture. - Manage the delivery of an End-To-End Enterprise project. - Talk to the customer. ## Requirements - At least 6+ years of relevant experience - this is a senior-level role. - Ability to talk to the customer. - Manage the delivery of an End-To-End Enterprise project. - Fabric (or Synapse/ADF/Databricks) Data Engineering background. - Data Warehousing experience. - Basic understanding of Agentic AI. ## Nice to have - DP-600, DP-700 or equivalent certification. - Experience with Azure Purview, Data Catalogs, or metadata management tools. - Familiarity with orchestration frameworks (ADF, Synapse Pipelines), Spark optimization (broadcast joins, partition pruning), and data-quality frameworks (Great Expectations, custom). - Prior consulting or client-facing engagements in enterprise environments. - Knowledge of BI tools (Power BI). ## What we offer - Opportunity to own and shape cutting-edge data solutions for diverse industries. - Collaborative, outcome-driven culture with career growth and skill-building opportunities. - Competitive compensation and benefits package.
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