GCP Data Engineer - Richardson, TX USA - Careers | Infosys English English French Portuguese Spanish Careers Explore Opportunities Explore Life At Infy Apply now Recruitment fraud alert Explore Opportunities Graduates Experienced Professionals Students/Internships Explore Opportunities by Location Explore Life At Infy About Us Our Culture Voices Infosys Careers Explore Opportunities Jobs in USA GCP Data Engineer GCP Data Engineer Apply now Apply now You have successfully copied the job share URL to clipboard! × Job details Work Location Richardson, TX State / Region / Province Texas Country USA Skills Technology|Cloud Platform|GCP Core Services Domain Delivery Interest Group Infosys Limited Company ITL USA Requisition ID 140628BR Job description Infosys is seeking a Google Cloud (GCP) data engineer with experience in Github and python. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.Required Qualifications:Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the USBachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this timeAt least 4 years of Information Technology experience.Experience working with technologies like – GCP with data engineering – data flow / air flow, pub sub/ kafta, data proc/Hadoop, Big Query.ETL development experience with strong SQL background such as Python/R, Scala, Java, Hive, Spark, KafkaStrong knowledge on Python Program development to build reusable frameworks, enhance existing frameworks.Application build experience with core GCP Services like Dataproc, GKE, Composer,Deep understanding GCP IAM & Github.Must have done IAM set up Knowledge on CICD pipeline using Terraform in Git.Preferred Qualifications:Good knowledge on Google Big Query, using advance SQL programing techniques to build Big Query Data sets in Ingestion and Transformation layer.Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured DataKnowledge on Airflow Dag creation, execution, and monitoring.Good understanding of Agile software development frameworksAbility to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams.Experience and desire to work in a global delivery environment.The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. 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