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Big Data Engineer - India

Summary

Senior Data DevOps Engineer builds and maintains Cloudera Hadoop/CDP platforms, automates data pipelines with PySpark/Python, and secures CI/CD workflows for enterprise financial clients.

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

Job Title: Data Engineer

Experience: 5yrs+ Years

Location: Pune/ Bengaluru/ Gurugram/ Chennai/ Hyderabad/ Mumbai

• Base Skill Requirements: • MUST Technical • 5+ 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

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter

  • Preferred First Name optional
  • How many years of total experience you have? choose one
  • How many years of relevant experience do you have in Cloudera? choose one
  • Do you have exposure to spark python and SQL? choose one
  • What is your current Location ? choose one
  • Current CTC?
  • Expected CTC?
  • Notice period? choose one
  • Please mention your LWD if serving Notice period.
  • Capco Job Candidate Privacy Notice Acknowledgement choose one
  • How many years of experience do you have in overall? choose one
  • How many years of experience in Data Engineering ALM?
  • Do you have experience in Scala? choose one
  • Do you have relevant experience in Spark or Pyspark? choose one
  • How many years of experience do you have in Java? choose one
  • Do you have experience in Hadoop and Airflow?
  • Do you have experience in Apache Nifi Pipeline development? choose one
  • Do you have knowledge in Cloudera?
  • What is your current location?
  • What is your preferred location? choose one
  • Are you currently working? choose one
  • What is current/ last payroll company name?
  • What is your official notice period?
  • How soon you can join us? choose one
  • What is your Current CTC (Fixed and Var)?
  • Please mention holding offer details (DOJ, Location, CTC), if any.
  • What is your Expected CTC in terms of INR?
  • Are you ready to work in Hybrid Mode/ 3 days WFO a week? choose one
  • Do you have any UAN discrepancies, overlapping employment periods, or have you ever absconded from any organization? choose one
  • LinkedIn Profile Link
  • If you are serving notice, please mention official last working day.
  • Gender choose one

See also