GCP Data Engineer

**About the role** As a (GCP) Data Engineer, you will make an impact you will play a crucial role in ensuring the highest standards of quality across our operations. You will be a valued member of the Manufacturing & Logistics team and work collaboratively in team and work collaboratively with a dynamic and inclusive team within the environment at Cognizant. **In this role, you will:** · Design and implement scalable ETL/ELT pipelines using GCP tools like Dataflow, Pub/Sub, and Cloud Run. · Build and maintain data models, warehouses, and lakes to support analytics and reporting. · Optimize BigQuery performance and cost through query tuning, partitioning, and clustering. · Ensure data security and compliance via IAM roles, encryption, and network controls. · Collaborate across teams to deliver high-quality, governed data solutions and automate deployments with CI/CD. **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 New Jersey - 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:** · Bachelor's degree in Computer Science, IT, or related field. · 8+ years of experience in data engineering, with at least 3 years of hands-on expertise in GCP services including BigQuery, Cloud Storage, Cloud Run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, Pub/Sub, IAM, Logging, and Monitoring. · Proficient in SQL, Python, and Linux scripting, with prior experience using ETL tools such as Datastage, Informatica, and SSIS. · Skilled in data modeling (star/snowflake), data warehouse architecture, and cloud-native analytics. · Familiar with CI/CD pipelines, Git version control, and Infrastructure as Code using Terraform. · Demonstrates strong analytical thinking, problem-solving ability, and effective communication in agile, fast-paced environments. · GCP Professional Data Engineer or Cloud Architect certification is a plus. **Salary and Other Compensation:** · Applications will be accepted until November 30, 2025. · The annual salary for this position is between $130,000 - $150,000 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. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.