Infosys is seeking an GCP Data Engineer with experience working in a Big Data ecosystem. The position will primarily be responsible interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. 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 Texas or be willing to relocate to the area.
Bachelor’s Degree or foreign equivalent, will consider work experience in lieu of a degree
7+ years of experience with Information Technology
2+ years of hands on-experience working with technologies like – GCP with data engineering – data flow / air flow, pub sub/ kafta, data proc/Hadoop, Big Query.
3+ years of ETL development experience with strong SQL background such as Python/R, Scala, Java, Hive, Spark, Kafka
2+ experience with any traditional RDBMS (e.g., Teradata, Oracle, DB2).
Preferred Qualifications:
GCP (google cloud platform) experience
Python Experience
4+ years of experience working on healthcare / Pharmacy Benefits Management domain
Data analysis / Data mapping skills
CI / CD exposure
Ability to work in team in diverse/ multiple stakeholder environment
Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams
