Data Engineers (Big Data Hadoop, Scala, Spark, Ozone/Iceberg/Airflow)
Zensar · Pune, Maharashtra, India
IT Services and IT Consulting · 10,001+ employees
3 d ago
Remote
Senior (5-10 yrs)
Full-time
India
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About the role
The role involves developing and maintaining high-performance big data pipelines using a modern technology stack. The engineer will focus on distributed computing and workflow orchestration to manage large-scale data.
What they look for
Big Data
Hadoop
Scala
Spark
Ozone
Iceberg
Airflow
Distributed Computing
Modern Storage Architectures
Functional Programming
Workflow Orchestration
Requirements
Candidates must have 5 to 8 years of experience in data engineering. Mastery of Scala, Spark, Hadoop, and modern storage architectures like Ozone and Iceberg is required.
Full description
To excel as a Data Engineer specialized in this modern, high-performance big data stack, you need to master a specific blend of distributed computing, modern storage architectures, functional programming, and workflow orchestration.
