Data Engineer (Python & PySpark)
Zensar Technologies is seeking a Data Engineer to design and maintain end-to-end ETL pipelines. The role involves building large-scale data processing frameworks within the GCP ecosystem. Candidates must have strong Python, PySpark, and GCP experience with a background in data modeling and SQL. This is an onsite position in Bengaluru focusing on scalable data architecture and process optimization.
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Experience
3+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Zensar Technologies is seeking a Data Engineer to design and maintain end-to-end ETL pipelines. The role involves building large-scale data processing frameworks within the GCP ecosystem. Candidates must have strong Python, PySpark, and GCP experience with a background in data modeling and SQL. This is an onsite position in Bengaluru focusing on scalable data architecture and process optimization.
TAL's take
Solid tier-2 established company with a clearly defined technical engineering role.
Very clear responsibilities and technical stack requirements provided.
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
- 3+ years of hands-on experience with Apache Spark (PySpark)
- Strong proficiency in Python including libraries like Pandas and NumPy
- Practical experience with GCP services like BigQuery and Dataflow
- Solid understanding of SQL, PostgreSQL, and MySQL
- Experience with CI/CD, Git, and Docker
Tools and skills
Nice to have: terraform, google pub/sub, kafka, data governance, gdpr, ccpa, google cloud data engineer certification.
About the company
Global IT services company with established market presence.
Posts mentioning Zensar Technologies
9 YOE - 24 LPA. Zensar
Hello How much does zensar generally offer for ETL developers with 8-10 yoe?
Zensar – Repeated short allocations without client onboarding (Need advice)
Hi everyone, I joined Zensar in the last week of January and was allocated to an MMC project for 15 days. After that, I moved to bench briefly, and now the same allocation is extended till month end — but still no client interview, onboarding, or credentials. Manager says profile is shared and waiting for client confirmation. Meanwhile, I’m being advised to prepare for other internal Azure DevOps opportunities (Pune etc.). A few colleagues mentioned that repeated short allocations sometimes indicate uncertainty in client confirmation. I’d like to understand: • After such repeated short-term allocations, what usually happens? • Is this a red flag or normal client ramp-up process? • Should I push strongly for other internal projects now? Looking for practical insights from those who’ve experienced similar allocation patterns. Thanks.
Zensar Bench – Internal vs External Job Search Advice
Hi everyone, I’ve been on bench in Zensar for about 1 month now (joined recently). Currently hearing that Azure openings are limited, and internally they are suggesting to consider other cloud roles (AWS/GCP) or even relocation to Pune for better opportunities. 👉 My question: Should I focus on internal opportunities (other cloud / other locations)? Or is it better to start looking outside immediately? Would really appreciate suggestions from people who’ve been in a similar situation. Thanks 🙏