Data Engineer Apache Spark, Scala, GCP & Azure

5 - 10 years

25 - 35 Lacs

Posted:4 days ago| Platform: Naukri logo

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Hybrid

Job Type

Full Time

Job Description

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About the Role

skilled Data Engineer

Key Responsibilities

  • Design and develop robust ETL pipelines using

    Apache Spark

  • Write clean and efficient data processing code in

    Scala

  • Handle large-scale data movement, transformation, and storage
  • Build solutions on

    Google Cloud Platform (GCP)

    and

    Microsoft Azure

  • Collaborate with teams to define data strategies and ensure data quality
  • Optimize jobs for performance and cost on distributed systems
  • Document technical designs and ETL flows clearly for the team

Must-Have Skills

  • Apache Spark

  • Scala

  • ETL design & development

  • Cloud platforms: GCP & Azure

  • Strong understanding of

    Data Engineering best practices

  • Solid communication and collaboration skills

Good-to-Have Skills

  • Apache tools (Kafka, Beam, Airflow, etc.)
  • Knowledge of data lake and data warehouse concepts
  • CI/CD for data pipelines
  • Exposure to modern data monitoring and observability tools

Why Xebia?

At Xebia, you’ll be part of a forward-thinking, tech-savvy team working on high-impact, global data projects. We prioritize clean code, scalable solutions, and continuous learning. Join us to build real-time, cloud-native data platforms that power business intelligence across industries.

To Apply

updated resume

Full Name:
Total Experience: Current CTC: Expected CTC: Current Location: Preferred Xebia Location: Gurugram Notice Period / Last Working Day (if serving): Primary Skills: LinkedIn Profile URL:

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Xebia It Architects

IT Services and IT Consulting

Atlanta Georgia

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