GCP Data Engineer

Please note, this role is not able to offer visa transfer or sponsorship now or in the future. GCP Data Engineer About the role As a GCP Data Engineer, you will make an impact by designing and building scalable data pipelines and platforms on Google Cloud that ingest, transform, and store transportation and logistics data, enabling faster and more reliable operational decision making. You will be a valued member of the Data Engineering team and work collaboratively with cross-functional operations and planning stakeholders. In this role, you will: Design and implement scalable data pipelines on GCP that ingest, transform, and store transportation and logistics data to support analytics and operational reporting across the enterprise. Develop efficient and maintainable Python code for data processing, validation, and automation, ensuring reliable end-to-end data workflows and reduced operational overhead. Architect and optimize AlloyDB schemas, indexes, and query patterns tailored to transportation and logistics datasets to deliver high-performance transactional and analytical workloads. Configure and manage Google Cloud Pub/Sub messaging solutions to support near real-time, event-driven data integration between logistics systems, tracking platforms, and analytical applications. Utilize GCP BigQuery to design performant data models, partitioning strategies, and materialized views that enable fast and cost-effective analytics on large-scale transportation data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in Parsippany, NJ. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered 7+ years of experience with Google Cloud Pub/Sub, GCP BigQuery, and Google Cloud Monitoring 7+ years of experience with Python programming and optimization techniques 5+ years of experience with AlloyDB Hands-on experience with GCP services, including Compute Engine Understanding of performance testing concepts These will help you stand out Experience implementing observability using Google Cloud Monitoring to track pipeline health, resource utilization, and application metrics Background establishing data quality standards, validation rules, and monitoring dashboards for shipment tracking, order management, or inventory visibility Experience mentoring peers on GCP best practices and cloud-native data patterns Salary and Other Compensation Applications will be accepted until October 16,2026 The annual salary for this position is between $110,000 - $123,000 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. Benefits Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: 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. #J-18808-Ljbffr Cognizant