Data Engineer - Python and Azure Data Bricks

Capco; Kolkata District; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Capco, a Wipro company, is seeking a highly skilled Data Engineer with strong 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.

The role involves collaborating with Data Scientists, Analysts, Architects, and Business stakeholders to deliver robust data solutions and ensure

Qualifications

• Proficient in Python for data engineering tasks.
• Hands-on experience with Azure Databricks and Spark for big data processing.
• Knowledge of ETL/ELT design patterns and data transformations.
• Experience with data quality, governance, and metadata management.

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, and governance across data platforms.
• Collaborate with Data Scientists, Analysts, Architects, and Business stakeholders to deliver data solutions.
• Implement performance tuning 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.

Skills

Python

Azure Databricks

ETL/ELT

Apache Spark

Data Modeling

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

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.