GCP Data Engineer

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.

MAKE AN IMPACT

Job Title: GCP Data Engineer

• Position: Data Engineer

• Experience: 5+ Years

• Work Mode: Hybrid (Capco Office)

Location: Bangalore

• Key Responsibilities:

Design and develop scalable data pipelines using GCP and BigQuery. Build data ingestion pipelines from various source systems. Develop and manage workflow orchestration and scheduling. Write efficient and maintainable code using Python. Develop and optimize large-scale data transformations using PySpark. Ensure data quality, reliability, and performance of data pipelines

• Key Skills: GCP BigQuery Data Ingestion & ETL/ELT Data Pipeline Orchestration Python PySpark Strong SQL and data engineering fundamentals hands-on experience in GCP-based data platforms.

• 5+ years of experience
• Design and develop scalable data pipelines using GCP and BigQuery
• Build data ingestion pipelines from various source systems
• Develop and manage workflow orchestration and scheduling
• Write efficient and maintainable code using Python
• Develop and optimize large-scale data transformations using PySpark
• Ensure data quality, reliability, and performance of data pipelines
• Data ingestion and ETL/ELT skills
• Data pipeline orchestration
• Strong SQL and data engineering fundamentals
• Hands-on experience in GCP-based data platforms