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Data Modeler

Confidential · India · Hybrid · Senior

  • India · Hybrid

Indexed (today) · refreshed constantly

Start
flexible
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
TRCD-26-06339

Required skills

Job description

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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