Data Engineer with DataBricks
Job Location:
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
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 acrossbanking 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
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.
- 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.
- 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 . Follow us on Twitter Facebook LinkedIn and YouTube.
Required Experience:
IC
About Company
Capco is a global management and technology consultancy dedicated to the financial services and energy industries.
