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Capco Technologies Pvt Ltd in Pune (Hybrid – Client Office) is seeking a Senior Data DevOps Engineer with hands-on experience in Cloudera CDP, data engineering, and DevOps automation. You will manage Cloudera environments and optimize data processing workloads.
The ideal candidate will build and maintain CI/CD pipelines with Jenkins and GitHub/Bitbucket, ensure security integration, and write efficient SQL for Hive/Impala environments. Strong Linux skills and scripting are required.
“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.
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.
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.
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
We believe that diversity of people and perspective gives us a competitive advantage.
Job Title: Data Engineer Experience: 6–9 Years Location: 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.
Experience Level Senior Level