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JobbörseOffen

Data Modeler

Vertraulich · India · Hybrid · Senior

  • India · Hybrid

Indexiert (heute) · laufend aktualisiert

Start
flexible
Arbeitsmodell
Hybrid
Vertrag
Freelance / B2B
Erfahrungslevel
Senior
Referenz
TRCD-26-06339

Geforderte Skills

Jobbeschreibung

This contract role focuses on building and operating data pipelines with Databricks, PySpark, and SQL, including reusable transformations, historical backfills, and incremental refreshes. Azure Synapse is explicitly mandatory; the description also calls for ADLS, data engineering, CI/CD, and work with Delta tables and scheduled workflows. The stated experien

Project overview

This contract role focuses on building and operating data pipelines with Databricks, PySpark, and SQL, including reusable transformations, historical backfills, and incremental refreshes. Azure Synapse is explicitly mandatory; the description also calls for ADLS, data engineering, CI/CD, and work with Delta tables and scheduled workflows. The stated experience band is 6–10 years, with Gurugram and Pune listed as locations; work mode is not specified. No separate nice-to-have skills are identified.

Although the supplied title is Data Modeler, the responsibilities described are primarily data engineering and pipeline operations.

Responsibilities

  • Azure Synapse (Mandatory), PySpark, ADLS, Data Engineering, SQL, CI/CD, Databricks
  • Build and operationalize Databricks pipelines using PySpark/SQL, Delta tables and scheduled workflows.
  • Implement reusable transformations, historical backfill and incremental refresh logic.
  • Optimize performance and reliability, including monitoring, recovery and deployment automation.

Requirements

  • Azure Synapse
  • Databricks
  • PySpark
  • ADLS
  • Data Engineering
  • SQL
  • CI/CD
  • Delta tables
  • Scheduled workflows

Project details

  • Start: flexible
  • Remote: hybrid
  • Location: India, IN

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