Software Engineering Manager - HIH - Evernorth

The job profile for this position is HIH - Software Engineering Manager, which is a Band 4 Management Career Track Role.

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Software Engineering Manager - HIH - Evernorth  

Evernorth, a leading Health Services company, is looking for exceptional engineers/developers in our Data and Analytics organization. In this role, you will actively participate with your development team on initiatives that support Evernorth's strategic goals as well as subject matter experts to understand business logic you will be engineering. As a software engineer, you will help develop an integrated architectural strategy to support next-generation capabilities on an enterprise-wide scale. You will work in an agile environment, delivering user-oriented products.

The ideal candidate will work in a team environment that demands technical excellence, whose members are expected to hold each other accountable for the overall success of the end product. Focus for this team is on the delivery of innovative solutions to complex problems, but also with a mind to drive simplicity in refining and supporting of the solution by others.

Roles & Responsibilities

• Lead the team to design and implement ETL processes to extract, transform, and load data from various sources.

• Conduct research and perform proof of concept (POC) activities

• Continuously learn and master new technologies

• Collaborate with cross-functional teams to understand requirements and deliver solutions.

• Optimize and maintain existing Process for improved efficiency and performance.

• Ensure data integrity and quality through rigorous testing and validation.

• Create and implement best practices to ensure successful delivery.

• Collaborate with other team members to ensure timely and successful delivery of production ready applications.

• Prepare detailed technical documentation.

Qualifications

Required Experience & Education: 

• 11 - 13 years of relevant Data Engineering Experience.

• 3 -  5 Years of experience to manage the Data engineering teams.

• Experience with GenAI LLM development and Testing.

• Strong understanding of database concepts and experience with query optimization and performance tuning.

• Hands-on experience with scripting languages like Python, Pyspark.

• Hands on experience with Databricks and Airflow monitoring.

• Hands on experience with AWS, MWAA, Lambda, SQS, SNS, EC2.

• Excellent problem-solving skills and the ability to analyze complex issues and implement effective solutions.

Required Skills:

• GenAI, Databricks, Python, Pyspark, Cloud Experience (AWS/Azure)

Preferred Skills, Experience & Education:

• Snowflake, Teradata

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