Data Engineer with DataBricks
The role focuses on designing, building, and maintaining data pipelines on the Databricks platform for banking and financial services clients. Candidates will work on Spark-based ETL processes, leveraging Python, Scala, and Azure cloud services to deliver scalable data solutions.
Skills required
About this role
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.