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MAKE AN IMPACT Job Title: Data Engineers Location: Pune, Maharashtra Experience: 5+ Years Employment Type: Full-Time About the Role
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What you’ll work on

We are looking for a skilled Data Engineer with strong expertise in Python, Scala, and Databricks to build and maintain scalable data processing solutions.

Design, develop, and maintain scalable data pipelines using Python, Scala, and Spark.
Build and optimize ETL/ELT processes on the Databricks Lakehouse Platform.
Develop high-performance data processing solutions for large-scale datasets.

From the employer’s posting

We are looking for a skilled Data Engineer with strong expertise in Python, Scala, and Databricks to build and maintain scalable data processing solutions. The ideal candidate should have hands-on experience in developing batch and streaming data pipelines, optimizing big data workloads, and working in cloud-based data platforms.

Key Responsibilities Design, develop, and maintain scalable data pipelines using Python, Scala, and Spark. Build and optimize ETL/ELT processes on the Databricks Lakehouse Platform.

Design, develop, and maintain scalable data pipelines using Python, Scala, and Spark. Build and optimize ETL/ELT processes on the Databricks Lakehouse Platform. Develop high-performance data processing solutions for large-scale datasets.

Build and optimize ETL/ELT processes on the Databricks Lakehouse Platform. Develop high-performance data processing solutions for large-scale datasets. Work with structured, semi-structured, and unstructured data sources.

What you’ll bring

All qualifications

Core experience

5+ years of experience in Data Engineering.
Hands-on experience with Databricks and Apache Spark.
Expertise in Spark SQL, DataFrames, Delta Lake, and Databricks Workflows.
Strong SQL development and query optimization experience.
Experience with ETL/ELT frameworks and data integration.
Good understanding of Data Warehousing concepts and dimensional modeling.

Qualification wording

5+ years of experience in Data Engineering.

Hands-on experience with Databricks and Apache Spark.

Expertise in Spark SQL, DataFrames, Delta Lake, and Databricks Workflows.

Strong SQL development and query optimization experience.

Experience with ETL/ELT frameworks and data integration.

Good understanding of Data Warehousing concepts and dimensional modeling.

Tools in this posting

Python
Scala
SQL
Databricks
Delta
Spark
AWS
Azure

Source

About the Role We are looking for a skilled Data Engineer with strong expertise in Python, Scala, and Databricks to build and maintain scalable data processing solutions. The ideal candidate should have hands-on experience in developing batch and streaming data pipelines, optimizing big data workloads, and working in cloud-based data platforms. Key Responsibilities

Key Responsibilities - Design, develop, and maintain scalable data pipelines using Python, Scala, and Spark. - Build and optimize ETL/ELT processes on the Databricks Lakehouse Platform.

- 5+ years of experience in Data Engineering. - Strong programming skills in Python and Scala. - Hands-on experience with Databricks and Apache Spark.

- Hands-on experience with Databricks and Apache Spark. - Expertise in Spark SQL, DataFrames, Delta Lake, and Databricks Workflows. - Strong SQL development and query optimization experience.

- Expertise in Spark SQL, DataFrames, Delta Lake, and Databricks Workflows. - Strong SQL development and query optimization experience. - Experience with ETL/ELT frameworks and data integration.

- Design, develop, and maintain scalable data pipelines using Python, Scala, and Spark. - Build and optimize ETL/ELT processes on the Databricks Lakehouse Platform. - Develop high-performance data processing solutions for large-scale datasets.

- Strong programming skills in Python and Scala. - Hands-on experience with Databricks and Apache Spark. - Expertise in Spark SQL, DataFrames, Delta Lake, and Databricks Workflows.

- Experience working with cloud platforms such as: - Azure Databricks - AWS Databricks

- Azure Databricks - AWS Databricks - GCP Databricks

- AWS Databricks - GCP Databricks 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.

About Capco

“Capco, a Wipro company, is a global technology and management consulting firm.

In the employer’s words · Read in context

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First seen by us: Oct 15, 2026 · 1d ago
Recorded sightings: 2

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Job description

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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

Job Title: Data Engineers
Location: Pune, Maharashtra
Experience: 5+ Years
Employment Type: Full-Time

About the Role

We are looking for a skilled Data Engineer with strong expertise in Python, Scala, and Databricks to build and maintain scalable data processing solutions. The ideal candidate should have hands-on experience in developing batch and streaming data pipelines, optimizing big data workloads, and working in cloud-based data platforms.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Python, Scala, and Spark.
Build and optimize ETL/ELT processes on the Databricks Lakehouse Platform.
Develop high-performance data processing solutions for large-scale datasets.
Work with structured, semi-structured, and unstructured data sources.
Collaborate with Data Architects, Business Analysts, and Data Scientists to understand and implement data requirements.
Perform performance tuning and optimization of Spark workloads.
Design and maintain data models, data lakes, and data warehousing solutions.
Implement data quality, governance, and security standards.
Troubleshoot production issues and support data platform operations.
Participate in Agile ceremonies, code reviews, and technical design discussions.

Required Skills

Technical Skills

5+ years of experience in Data Engineering.
Strong programming skills in Python and Scala.
Hands-on experience with Databricks and Apache Spark.
Expertise in Spark SQL, DataFrames, Delta Lake, and Databricks Workflows.
Strong SQL development and query optimization experience.
Experience with ETL/ELT frameworks and data integration.
Good understanding of Data Warehousing concepts and dimensional modeling.
Experience working with cloud platforms such as:
- Azure Databricks
- AWS Databricks
- GCP Databricks

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.

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India - Pune

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Data Engineer with DataBricks