**Description - External** **About the role:** As a **GCP Data Engineer** , you will make an impact by designing and implementing scalable data pipelines and orchestration workflows on Google Cloud Platform (GCP). You will be a valued member of the Data Engineering team and work collaboratively with cloud architects, DevOps engineers, and business stakeholders to deliver high-performance data solutions. **In this role, you will:** · Develop large scale data structures, pipelines and efficient ETL (extract/load/transform) workflows to organize, collect and standardize data that helps generate insights and addresses reporting needs. · Collaborate with other data teams to transform data and integrate algorithms and models into automated processes. · Use knowledge in Big Data architecture and experience designing & optimizing queries to build data pipelines. · Build data marts and data models to support Data Science and other internal customers. · Analyse current information technology environments to identify and assess critical capabilities and recommend solutions. · Experiment with available tools and advises on new tools in order to determine optimal solution given the requirements dictated by the model/use cases **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 3 days a week in a client or Cognizant office in Hartford, CT or Irving, TX. Regardless of your working arrangement, we are here to support a healthy work-life balance though 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:** · Proven experience as a Data Engineer with a focus on Google Cloud Platform · Hands-on expertise with GCP services: Cloud Dataflow, Cloud Pub/Sub, Cloud SQL, Cloud Composer · Strong proficiency in workflow orchestration using Apache Airflow and Cloud Composer · Experience with relational databases such as Cloud SQL and PostgreSQL · Solid understanding of ETL processes, data modeling, and pipeline architecture · Practical experience with Python and PySpark for building scalable data pipelines · Familiarity with containerized deployments using Google Kubernetes Engine (GKE) We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. **Salary and Other Compensation:** Applications will be accepted until October 16, 2025 The annual salary for this position is between $ 81,000 - $ 135,000 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.