Google Cloud Platform; GCP Data Engineer

Description - External

We are Cognizant AIA - Artificial Intelligence and Analytics !!

Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human‑centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial‑and‑error business decisions have been replaced by informed choices and data‑supported strategies!

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant’s AIA practice takes insights that are buried in data and provide businesses with a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

We are seeking a skilled Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands‑on experience with GCP data services, strong ETL/ELT development skills, and a solid understanding of data architecture, data modeling, data warehousing and performance optimization.

• Develop ETL/ELT processes to extract data from various sources, transform it, and load it into Big Query or other target systems.
• Build and maintain data models
  , data warehouses
  , and data lakes for analytics and reporting.
• Design and implement scalable, secure, and efficient data pipelines on GCP using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting
  .
• Optimize Big Query queries
  , manage partitioning and clustering
  , and handle cost optimization
  .
• Integrate data from on‑premise and cloud systems using Cloud Storage, and APIs
  .
• Work closely with Dev Ops teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines
  .
• Ensure security and compliance by applying IAM roles, encryption, and network controls.
• Collaborate with data analysts, data scientists, and application teams to deliver high‑quality data solutions.
• Implement best practices for data quality, monitoring, and governance.

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Minimum 8 years of experience in data engineering, preferably in a cloud environment.
• Minimum 3 years of hands‑on and strong expertise in GCP services
  :
  • Big Query, Cloud storage, Cloud run, Dataflow, Cloud SQL, Alloy
    
    DB, Cloud Balancer, Pub Sub, IAM, Logging and Monitoring.
• Proficiency in SQL
  , Python and Linux scripting
  .
• Prior experience with ETL tools such as Datastage, Informatica, SSIS
• Familiarity with data modeling (star/snowflake) and data warehouse concepts
  .
• Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform).
• Strong problem‑solving and analytical mindset.
• Effective communication and collaboration skills.
• Ability to work in an agile and fast‑paced environment.
• GCP Professional Data Engineer or Cloud Architect certification is a plus.

Applications will be accepted until November 17th 2025. The annual salary for this position is between $80K- 110K depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer:
The salary, other compensation, and benefits 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.