ApplySarthiData Engineer _DEPS_ MTCR
Capco
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Preparing for this interview
Interviews for data roles keep coming back to AWS, SQL, Python. Practise those questions before you sit with Capco.
Questions you are likely to be asked
- Why do you want to join Capco?
- What is your experience with Spark? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the Data Engineer _DEPS_ MTCR at Capco interview free →About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
MAKE AN IMPACT
Job Title: Data Engineer _DEPS
Experience: 3–5 Years Location: Bangalore and Pune (Hybrid – Client Office)
Job Summary:
Seeking a skilled Senior Data DevOps Engineer having experience in Cloudera platforms, data engineering, and DevOps automation. The ideal candidate will manage and optimize Cloudera environments, build CI/CD pipelines, and support enterprise-scale data processing workloads.
Key Responsibilities
Administer and support Cloudera CDP/CDH platforms, including HDFS, Hive, Spark, YARN, Hue, and CDE. Develop, deploy, and optimize PySpark and Python-based data processing solutions. Build and maintain CI/CD pipelines using Jenkins and GitHub/Bitbucket. Integrate security and code quality tools such as Checkmarx into delivery pipelines. Write and optimize SQL queries for Hive and Impala environments. Monitor platform health, perform upgrades, troubleshoot issues, and ensure high availability. Implement security controls, access management, and governance best practices.
Required Skills Hands on experience with Cloudera Hadoop/CDP platforms. Strong expertise in HDFS, Spark/PySpark, Python, Hive, YARN, Hue, and CDE. Hands-on experience with Jenkins, GitHub/Bitbucket, and CI/CD practices. Good knowledge of SQL and performance tuning. Experience with Checkmarx or similar SAST tools. Strong Linux administration and scripting skills. Excellent troubleshooting and problem-solving abilities
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Listed on greenhouse · posted 2026-09-15. ApplySarthi collects openings and links to application pages; the role is advertised by Capco, not by us.