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Capco

Data Engineer with Scala and Spark/ Pyspark

Capco · India - Bengaluru; India - Chennai ; India - Gurugram; India - Hyderabad; India - Mumbai; India - Pune

Posted about 3 months ago · Previously reposted

or apply directly on Capco's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Capco's roles stay open a median of 80 days
Reposted
Yes
taken down and listed again at least once
Salary listed
No
0% of Capco's roles list one
Ghost-job risk at Capco
high
725 stale, 19 reposted of 746 open
Hiring momentum
1111 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Capco's own greenhouse board since 2026-08-03. Full hiring picture for Capco.

About this role

The Data Engineer with Kafka role involves designing, developing, and optimizing large-scale data processing applications using technologies like Scala, Apache Spark, and Java. The engineer will build and maintain high-performance data pipelines, collaborate with cross-functional teams, and ensure data quality and operational excellence while troubleshooting performance issues.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Capco as an employer.

What you need

  • 5+ years of experience in data engineering
  • Strong hands-on experience in Scala, Apache Spark, and Java
  • Proven experience building and supporting large-scale distributed data processing systems handling tens of millions of records daily
  • Expertise in developing and consuming Native APIs and microservices
  • Strong understanding of Spark architecture, performance tuning, partitioning, caching, and optimization techniques
  • Experience with data modeling, ETL/ELT processes, and large-scale batch and streaming data pipelines

Nice to have

  • Experience working in enterprise-scale data environments within Financial Services, Payments, or FinTech domains
  • Exposure to cloud platforms (AWS, Azure, or GCP) and containerized deployments
  • Familiarity with Kafka, Airflow, Hadoop ecosystem, or similar big data technologies
  • Experience with CI/CD pipelines, DevOps practices, and Agile methodologies

Worth weighing

  • Hybrid work mode requires presence in Capco office
  • No specific salary or benefits mentioned in the posting
  • Focus on large-scale data processing may imply a complex and demanding work environment

Summarised from Capco's posting. Read the full original.

Listed by Capco on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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