GCP Data Engineer with Python

Infosys•Hartford, CT

About The Position

The Infosys Healthcare unit is dedicated to transforming the healthcare industry by leveraging cutting-edge AI-driven solutions to simplify complexities and enhance patient experiences. We focus on creating connected ecosystems, optimizing operations, and delivering superior care across all touchpoints. Join us to be a part of a team that is at the forefront of healthcare innovation, driving down costs while improving patient outcomes.

Requirements

Hands-on experience in Python programming
Familiarity with ETL pipelines, relational/noSQL databases (CloudSQL)
GCP Tools: Experience with BigQuery, Cloud Storage, Dataflow, Dataproc and Cloud Composer
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 now or in the future.

Nice To Haves

Data Modeling, CI/CI Pipelines, DWH concepts etc

Responsibilities

Assist in conducting targeted interviews and workshops to capture user needs, and ensure accurate documentation of stakeholder requirements
Participate in design discussions to capture software specifications, and aid in creation of process documentation.
Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements
Execute test plans, analyse outcomes, and report defects to the development team, to facilitate enhancement of software performance
Support the integration of new software features, facilitating smooth transitions within the existing system infrastructure
Monitor and troubleshoot live applications, ensuring prompt resolution of issues and creation of comprehensive documentation for ongoing system maintenance
Systematically document coding practices, testing methodologies, and technical solutions, thereby enriching team's knowledge repository
An agile mindset with effective communication and problem-solving skills.
The ability to work on majority of the areas as part of SDLC lifecycle
Passion for innovating solutions that drive progress and meet future challenges.
A proactive approach to monitoring and resolving production issues before they escalate.
Commitment to continuous learning, knowledge sharing, and fostering team development