Job Title: GCP Data Engineer (BigQuery)
Experience: 6-12 Years
Location: PAN India / Hybrid
Job Description
We are seeking an experienced GCP Data Engineer with strong expertise in Google Cloud Platform (GCP) and BigQuery to design, build, and optimize scalable cloud-based data solutions. The ideal candidate should have hands-on experience in data warehousing, ETL/ELT development, and large-scale data processing within the GCP ecosystem.
Key Responsibilities
- Design and develop scalable data pipelines on Google Cloud Platform.
- Build, maintain, and optimize data warehouses using BigQuery.
- Develop ETL/ELT processes for structured and unstructured data sources.
- Perform data modeling, partitioning, clustering, and query optimization in BigQuery.
- Implement data ingestion frameworks using GCP-native services.
- Ensure data quality, governance, security, and compliance standards.
- Collaborate with Data Analysts, Architects, and Business stakeholders to deliver analytics solutions.
- Monitor and optimize data platform performance and cost efficiency.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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