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Data Engineer - Python and Azure Data Bricks
senior · Technology / Software Development
Job Title: Data Engineer - Python and Azure Data Bricks
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.
Job Description
ole Overview
We are looking for a highly skilled Data Engineer with strong expertise in Python and Azure Databricks to design, build, and optimize scalable data pipelines and modern data platforms. The ideal candidate will have hands-on experience in cloud-based data engineering, big data processing, and data transformation using Azure services and Databricks.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Python and Azure Databricks.
- Build and optimize ETL/ELT workflows for ingesting, transforming, and processing large datasets.
- Develop data solutions using Apache Spark within the Databricks environment.
- Integrate data from multiple structured and unstructured sources.
- Ensure data quality, reliability, security, and governance across data platforms.
- Collaborate with Data Scientists, Analysts, Architects, and Business stakeholders to deliver data solutions.
- Implement performance tuning and optimization for large-scale data processing workloads.
- Develop and maintain data models, metadata management, and documentation.
- Monitor and troubleshoot production data pipelines and resolve data-related issues.
- Support CI/CD implementation and deployment automation for data engineering solutions.
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
- 4+ years of experience in Data Engineering.
- Strong hands-on programming experience in Python.
- Expertise in:
- Azure Databricks
- Apache Spark (PySpark)
- SQL
- Delta Lake
- Experience with Azure data services:
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS)
- Azure Synapse Analytics
- Azure Key Vault
- Strong understanding of data warehousing concepts and dimensional modeling.
- Experience building and maintaining batch and real-time data pipelines.
- Knowledge of Git, CI/CD pipelines, and DevOps practices.
- Experience working in Agile development environments.
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.