Data Engineer - Python and Azure Data Bricks

“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. 

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.

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

We believe that diversity of people and perspective gives us a competitive advantage.

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.

• →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.

• 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.