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 US
Bachelor’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.
At least 4 years of Information Technology experience.
Experience in Teradata, Python, SQL, GCP, Git, Terraform, Airflow dag
Strong knowledge on Python Program development to build reusable frameworks, enhance existing frameworks.
Good experience in end-to-end implementation of data warehouse and data marts.
Strong knowledge and hands-on experience in Python and SQL.
Knowledge on CI/CD pipeline using Terraform in Git.
All applicants authorized to work in the United States are encouraged to apply
Preferred Qualifications:
Good knowledge on Google Big Query, using advance SQL programming techniques to build Big Query Data sets in Ingestion and Transformation layer.
Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
Knowledge on Airflow Dag creation, execution, and monitoring.
Good understanding of Agile software development frameworks
Ability 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.
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