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Xebia
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Data Engineer – Apache Spark, Scala, GCP & Azure

Data Engineer – Apache Spark, Scala, GCP & Azure

Xebia

10 years

0 Lacs

Gurugram Haryana India

Posted:5 days ago| Platform:

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Skills Required

data apache spark scala gcp azure processing architecture flow tuning design etl code strategies engineering communication collaboration kafka airflow monitoring learning power

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Location:

Experience:

Type:

Apply:

Availability:

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:

Note:

Build intelligent, scalable data solutions with Xebia – let’s shape the future of data together. 📊🚀

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