Python Data Engineer + Databricks

Capco; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Capco in Bengaluru seeks a Data Engineer specialized in Python and Azure Databricks to design, build, and optimize scalable data pipelines and modern data platforms.

You will work on cloud-based data engineering, big data processing, and data transformation using Azure services and Databricks, collaborating with Data Scientists and Analysts to deliver data solutions at scale.

Qualifications

• Degree in Computer Science, Engineering, IT or related field.
• 4+ years of experience in Data Engineering.
• Strong hands-on programming in Python.
• Experience with PySpark and SQL.
• Experience with Azure data services including ADF.
• Understanding of data warehousing concepts and dimensional modeling.
• Experience building batch and real-time data pipelines.
• Knowledge of Git, CI/CD pipelines, and DevOps practices.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and Azure Databricks.
• Build and optimize ETL/ELT workflows for large datasets.
• Develop data solutions using Apache Spark within Databricks.
• Integrate data from multiple structured and unstructured sources.
• Ensure data quality, reliability, security, and governance.
• Collaborate with Data Scientists, Analysts, Architects, and Business stakeholders.
• Implement performance tuning for large-scale processing.
• Develop and maintain data models, metadata, and documentation.
• Monitor and troubleshoot production data pipelines and resolve data issues.
• Support CI/CD deployment for data engineering solutions.

Skills

Python

PySpark

SQL

Git

CI/CD pipelines

DevOps practices

Education

Bachelor's or Master's degree in Computer Science, Engineering, IT

Tools

Azure Databricks

Azure Data Factory

Job description

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

Role 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.
• Apache Spark (PySpark)
• SQL
• Experience with Azure data services:Azure Data Factory (ADF)
• 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.