Lead Big Data Engineer

Capco; Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Capco, a Wipro company, is seeking a Senior Big Data Engineer for our Data semantic solution team in Pune. You will drive data engineering solutions, build secure pipelines with Spark/Scala/Python on Hadoop or object storage, and collaborate with business stakeholders to deliver scalable analytics products.

The role requires 10+ years of Data Warehouse experience and strong skills in Spark, NiFi, and databases like Oracle/Netezza.

Qualifications

• 10+ years of experience in Data Warehouse related projects.
• Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage.
• Experience building NiFi pipelines.
• Experience with Oracle and Netezza databases is a plus.
• Strong analytical skills for debugging production issues.
• Strong communication and collaboration skills.
• Ability to multi-task across projects and mentor juniors.
• High energy, proactive and able to work under pressure.
• Ability to quickly learn and perform POC to explore solutions.
• Comfort in matrix-based, geographically distributed teams.

Responsibilities

• Develop high quality, secure and scalable data pipelines using spark, Scala/ python on Hadoop or object storage.
• Leverage new technologies to innovate with large data sets.
• Drive automation and efficiency in data ingestion, movement and access workflows.
• Understand and enforce software development standards and engineering principles in Big Data.
• Collaborate with business stakeholders and embedded teams to build scalable products quickly.
• Contribute ideas to improve standards and processes.
• Perform assigned tasks and production incidents independently.

Skills

Data Warehouse experience

Spark pipelines

Scala/Python/Java

Analytical skills

Communication

Multitasking

Learning agility

Team collaboration

High energy

POC exploration

Tools

Spark

Hadoop

NiFi

Oracle

Netezza

Java

Python

Scala

Job description

“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.

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 www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.