GCP Data Engineer

ears 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,

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 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.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: -

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.