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Salary
≈ $21k – $45k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Oct 10, 2026. Infinite Computer Solutions scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Rockville, Maryland, Infinite Computer Solutions is a global digital engineering and IT services provider specializing in technology modernization, application development, cloud migration, and artificial intelligence solutions. The company delivers purpose-built digital platforms and consulting services across heavily regulated sectors, including healthcare, banking and financial services, insurance, and telecommunications. Through proprietary offerings like NetSfere for secure enterprise messaging and comprehensive infrastructure management, it empowers global organizations to accelerate digital transformation, optimize operational workflows, and secure complex enterprise ecosystems.

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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