Capco
GCP Data Engineer
India - Bengaluru · Work style not stated
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerCapco
- LocationIndia - Bengaluru
- Work styleWork style not stated
- Employer posted
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.
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#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.
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