Data Engineer with DataBricks

capco; India; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Capco, a Wipro company, Pune-based Data Engineers are sought to design, build, and maintain scalable data pipelines using Python, Scala, and Spark on Databricks. You will optimize batch and streaming workflows, work with Delta Lake and cloud platforms, and collaborate with data teams to meet complex data requirements.

Ideal candidates have 5+ years of data engineering experience, strong SQL, and hands-on experience with Databricks, Spark, and data warehousing concepts in a fast-paced consulting

Qualifications

• 5+ years of Data Engineering experience.
• Strong programming skills in Python and Scala.
• Hands-on experience with Databricks and Apache Spark.
• Experience designing and building batch and streaming data pipelines.
• Experience with cloud data platforms and data warehousing concepts.

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 datasets.
• Work with structured, semi-structured, and unstructured data sources.
• Collaborate with Data Architects, Business Analysts, and Data Scientists to 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.

Skills

Python

Scala

Databricks

Apache Spark

Spark SQL

SQL

ETL/ELT

Data Warehousing

Tools

Databricks

Spark

Delta Lake

Databricks Workflows

Job description

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