Lead Big Data Engineer in Pune, भारत

Job Title: Big Data Engineers

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.

Position: Data Engineer

Location: Pune, Maharashtra

Job Description

The Data semantic solution team is looking for a Big Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering solutions in the data and analytics domain.

Role

• Develop high quality, secure and scalable data pipelines using spark, Scala/ python on Hadoop or object storage. • Leverage new technologies and approaches 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. • Work closely with business stakeholders and embedded engineering teams within business teams in a collaborative manner to help them build scalable products in quick time. • 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.

All About You

• 10+ years of experience in Data Warehouse related projects and implementing multiple end-to-end DW projects in Big Data environment • Experience of building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage • Experience of building Nifi pipelines • Experience of working with Databases like Oracle, Netezza would be added advantage • Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan • Strong communication skills - both verbal and written – and strong relationship, collaboration skills and organizational skills • Ability to multi-task across multiple projects, interface with external / internal resources and provide technical leadership to junior team members • Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results • Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement • Flexibility to work as a member of a matrix based diverse and geographically distributed project teams

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit Follow us on Twitter, Facebook, LinkedIn, and YouTube.