DE&A - Core - Big Data Engineering - ETL
Zensar Technologies is seeking a Big Data Engineer to focus on cloud migration projects within the data infrastructure domain. The role involves leading migrations from on-prem Hadoop to GCP, designing cloud-native architectures, and modernizing ETL pipelines. You will be responsible for architecting PySpark applications and refactoring legacy MapReduce or Hive jobs for performance and scalability. This is an engineering-heavy role focused on building robust batch and streaming workloads.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Zensar Technologies is seeking a Big Data Engineer to focus on cloud migration projects within the data infrastructure domain. The role involves leading migrations from on-prem Hadoop to GCP, designing cloud-native architectures, and modernizing ETL pipelines. You will be responsible for architecting PySpark applications and refactoring legacy MapReduce or Hive jobs for performance and scalability. This is an engineering-heavy role focused on building robust batch and streaming workloads.
TAL's take
Solid tier-2 IT services role focusing on large-scale GCP migrations, though lacking seniority and YOE specificity.
The JD is highly specific regarding migration workflows and the exact GCP-based stack expected.
Salaries at Zensar Technologies
17.0 LPA average
Based on 1 Grapevine salary entries for Zensar Technologies.
Other roles
14 - 16 years
17 LPA average
Range: 17 - 17 LPA
Must haves
- Experience migrating on-prem Hadoop to GCP
- Design target-state architectures using BigQuery, Dataproc, and Dataflow
- Architect and develop large-scale PySpark applications
- Optimize data pipelines for performance, scalability, and cost
- Implement batch and streaming workloads on GCP
Tools and skills
About the company
Zensar is an established global IT services company, falling into the mid-tier category.
Posts mentioning Zensar Technologies
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