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Capco

Data Engineer

Posted Yesterday
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Hybrid
Pune, Maharashtra
Mid level
Hybrid
Pune, Maharashtra
Mid level
The Data Engineer will build complex data pipelines, implement DW projects in a Big Data environment, and work with a variety of databases. Strong skills in Python, PySpark, and Agile methodologies are essential.
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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


Data Engineer 
Location: Pune/Bangalore
Experience Range: 3–5 years

Role Overview:
The Data Engineer supports the development and maintenance of ingestion, transformation, and validation pipelines under the guidance of senior engineering leads.

Key Responsibilities:
• Build and maintain Spark-based pipelines
• Write SQL queries for transformations, validations, and profiling
• Support debugging, optimization, and deployment activities
• Participate in Agile ceremonies and deliver sprint commitments

Required Skills:
• 3–5 years of Data Engineering experience
• Hands-on Spark experience (Scala/Python/Java)
• Strong SQL fundamentals
• Familiarity with Hadoop, Hive, and distributed data ecosystems
• Strong motivation to learn and grow



Top Skills

Airflow
Cloudera
Hadoop
Java
Netezza
Oracle
Pyspark
Python
Scala
SQL

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