Data Engineer - Scala

Job Title: Data Engineer - Scala 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. Job Title: Data Engineer - Scala Location: Bangalore Experience: 5 to 9 years Role Description Skill Set: Must Have: • Strong Spark,** Hadoop and Hive** hands-on Technical knowledge and implementation experience • Hands-on knowledge Python , Pyspark, Scala Should have: • Exposure working with semi structured and large volume of Data • Good understanding of CI/CD pipeline • Knowledge of any scheduling tool • Data Ware housing concepts Interested applicants can apply with their updated Cv with below details : CTC: ECTC: Notice Period: Current Location: Preferred Location: If serving Notice Period when is your LWD: Reason for job change : Note: Only apply if you are available Immediate to max 30 Days.