Big Data Engineer at Capco

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 Location: Pune Experience Range: 5–9 years Job Description- Senior Data Engineer Role: Develop high quality, secure and salable data pipelines using spark, Scala/Python/Java on Hadoop or object storage like MinIo. Leverage technologies and solutions to innovate with increasingly large data sets. Drive automation and efficiency in Data ingestion, data movement and data access workflows by innovation and collaboration. Understand, implement and enforce Software development standards and engineering principles in the Big Data space. Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency. Perform assigned tasks and production incident independently. Base Skill Requirements: MUST Technical: 5-9 years of experience in Data Warehouse/Data Lake/Lake House related projects in product or service-based organization Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment handling petabyte scale data. Solid Experience of building complex data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge. Proficient in working within an Agile/Scrum framework, including creating user stories with well-defined acceptance criteria, participating in sprint planning and reviews Optional Technical Experience of building Nifi pipelines (Preferred) Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan Strong communication skills - both verbal and written Ability to multi-task across multiple projects, interface with external / internal resources Proactive, detail-oriented and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results Willingness to quickly learn and implement new technologies, participate POC to explore best solution for the problem statement Experience working diverse and geographically distributed project teams