Nokia Is Hiring For Data Engineer | Work From Office | Latest Job Updates | Apply Soon!

Nokia Is Hiring For Data Engineer | Work From Office | Latest Job Updates

Job Summary

This company is hiring for the role of Data Engineer. In this role, you build, maintain, and improve ingestion pipelines, notebooks, and data assets on Azure and Databricks using Delta Lake and PySpark, supporting reliable data delivery across the platform. Develop and optimize SQL and Python solutions that improve pipeline performance, data quality, and platform stability.

Job Description

  • Company Name: Nokia
  • Job Type: Full Time
  • Post Name: Data Engineer
  • Qualification: Bachelor’s/Master’s Degree
  • Experienced: Entry Level
  • Location: Bangalore, India

Job Responsibilities

  • Contribute to Power BI reporting and analytics enablement, turning curated platform data into useful insights for stakeholders.
  • Use CI/CD practices in Azure DevOps to test, deploy, and maintain platform changes safely and efficiently.
  • Partner with architects, leads, product owners, and engineering peers to understand requirements, troubleshoot issues, and deliver practical data solutions.
  • Help evaluate and apply new platform capabilities in partnership with internal architects and external specialists, turning emerging features into reliable engineering patterns for the team.
  • Provide specialist platform support to the operations team by diagnosing pipeline and platform issues, sharing deep technical knowledge, and guiding effective resolutions.

Job Requirements

  • Hands-on experience building or supporting data pipelines or data platform components in cloud or distributed data environments.
  • Clear communication skills and a proactive mindset, with confidence collaborating across time zones and using AI-assisted development tools as part of your daily workflow.
  • Strong fundamentals in SQL, coding, and problem-solving, with the ability to break down technical challenges and learn new tools quickly.
  • Familiarity with lakehouse architecture, distributed processing with Spark, and platform performance tuning.

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