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Capco

Senior Data Engineer

Reposted 24 Days Ago
Be an Early Applicant
Hybrid
Pune, Maharashtra, IND
Senior level
Hybrid
Pune, Maharashtra, IND
Senior level
Design and develop complex, large-scale data pipelines and end-to-end solutions across enterprise Big Data environments. Ensure data reliability, performance, and adherence to engineering best practices while collaborating in Agile teams.
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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

Role Overview:
The Senior Data Engineer designs and develops complex data pipelines and contributes to end-to-end solution delivery across enterprise-scale Big Data environments. The role ensures data reliability, performance, and adherence to engineering best practices.

Must-Have Skills:
• 5–9 years in Data Engineering across Data Warehouse/Data Lake/Lakehouse environments
• Strong Spark development (Scala/Python/Java) on Hadoop or object storage
• Strong SQL capabilities (Oracle/Netezza/Hive or similar)
• Experience delivering large-scale data pipelines
• Agile/Scrum delivery experience

Optional Skills:
• Experience building NiFi pipelines
• Strong debugging and RCA skills
• Ability to work independently across multiple priorities
• Strong communication and collaboration abilities

Top Skills

Apache Nifi
Spark
Data Lake
Data Warehouse
Hadoop
Hive
Java
Lakehouse
Netezza
Object Storage
Oracle
Python
Scala
SQL

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