Data Engineering Analyst

Optum

Chennai

On-site

INR 500,000 - 700,000

Full time

14 days+

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Job summary

A global health organization based in Chennai is seeking an Entry level Data Engineering Analyst to design and implement big data solutions. The role involves communication with stakeholders, improving performance through recommendations, and leveraging tools like Databricks SQL and Python. Join a company committed to health equity and a healthier future for all.

Qualifications

  • 2+ years combined experience in Solution Development, Project Deliveries, Product development.

Responsibilities

  • Communicating overall status of assigned tasks and results to stakeholders.
  • Providing recommendations and carrying out performance improvement projects.
  • Designing, developing, and implementing technology big data solutions.

Skills

Big Data / Databricks SQL & PySpark
Programming Languages - Python, Snowflake
Build / Deployment Automation - Github
Cloud - Azure
Knowledge of Scrum

Education

Undergraduate degree or equivalent experience

Job description

Join to apply for the Data Engineering Analyst role at Optum

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start caring, connecting, growing together.

Responsibilities
  • Communicating overall status of assigned tasks, achievements and POC\'s results at all levels in the projects/stakeholders to gain buy-in
  • Will provide recommendations and carry out POC\'s to improve performance, reliability, and reusability within the constraints of budget and business dependencies
  • In base and mid-level roles, engages across teams in a capacity that ranges from assisting on in-flight initiatives, up to technical briefings and demonstrations of new technologies across the organization
  • Design, Develop & Implement technology big data solution to convert raw datasets into reusable assets
  • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications
  • Undergraduate degree or equivalent experience
  • 2+ years combined experience in Solution Development, Project Deliveries, Product development
  • Skills:
    • Big Data / Databricks SQL & PySpark
    • Programming Languages - Python, Snowflake
    • Build / Deployment Automation - Github
    • Cloud - Azure
    • Knowledge of Scrum

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Hospitals and Health Care

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