GCP Data Engineer

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.
• 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 time
• At 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, Kafka
• Strong 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 :