Data Engineering Lead Analyst ENTVMV003

2 weeks ago


Hyderabad, Telangana, India Evernorth Health Services Full time
About Evernorth:
Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people.

Data Engineering Lead Analyst
Position Overview:
Evernorth Core Platform Engineering team is looking for a Software Engineering Senior Analyst to design, develop, and implement robust data pipelines for Packaged Business Capabilities (PBCs). In this role, you will act as a bridge between the software development team and the business, translating complex business requirements into actionable software solutions. You'll leverage your technical expertise and analytical skills to ensure that the software we build meets the needs of our users and the business.

Job Description & Responsibilities:
Analyze business needs and translate them into technical requirements.
Design, develop, and implement software solutions using microservices architecture (AWS Lambda, Kubernetes).
Write clean, efficient, and maintainable code using TypeScript and Golang.
Collaborate with cross-functional teams to ensure successful project delivery.
Stay up to date on the latest software development trends and technologies.

Qualifications
Required Skills:
5-8 years of experience in software engineering or a related field
Experience working with cloud platforms, preferably AWS
Proficiency in programming languages like Scala, Spark, Pyspark.
Hands on experience in building big data pipelines.
Familiarity with Open Search/Elastic Search Engine.
Expertise with Databricks.
Excellent analytical and problem-solving skills
Strong communication and collaboration skills

Required Experience & Education:
A minimum of 3 years of experience in backend engineering
Excellent communication and collaboration skills

Desired Experience:
Exposure to AWS, Databricks.


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