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Sr.Data Engineer

Exclusive opportunity

Onsite

Sr.Data Engineer

Infinite Computer Solutions

Sr.Data Engineer

Skills

SQL QueriesData EngineeringDatabricksWorkdaySAP ERPPySparkApache AirflowSAP ConcurAzure

16 days ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

7 October 2026

What they need


Infinite Computer Solutions is looking for experienced Data Engineers to join our growing team in Bangalore and Gurgaon .

📍 Locations: Bangalore & Gurgaon

💼 Experience: 5-10 Years

⚡ Immediate Joiners Preferred

Job description:

  • Strong problem-solving mindset with the ability to independently troubleshoot, resolve issues, and deliver high-quality data solutions.
  • Experience working collaboratively across distributed teams while maintaining strong documentation, communication, and handoffs.
  • Comfortable working in a fast-paced, consulting-oriented environment with evolving priorities and deadlines.
  • Strong experience with Azure Databricks, Delta Lake, Spark/PySpark, SQL, and modern data engineering practices.
  • Experience building scalable data pipelines using Azure services including ADF, ADLS Gen2, Event Hub, and Azure DevOps.
  • Experience implementing batch, file-based, API, and event-driven ingestion patterns.
  • Strong understanding of data quality, validation, reconciliation, testing, monitoring, and operational support processes.
  • Experience with schema management, incremental processing, performance optimization, and production-ready pipeline development.
  • Experience supporting SIT, UAT, deployment, cutover, and production stabilization activities.
  • Understanding of security, governance, and handling sensitive financial or employee data.

Nice to Have

  • Databricks Data Engineer Certification.
  • Experience with Databricks Unity Catalog, governance controls, and Lakehouse architecture.
  • Experience with ingestion accelerators, reusable framework development, or large-scale data modernization initiatives.
  • Experience supporting Concur, AppZen, Workday, SAP, ERP, Finance, or Expense Management data integrations
  • Experience with orchestration and scheduling platforms such as Azure Data Factory or Airflow.

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