Data Engineering Senior Analyst - Cigna Healthcare

About this role

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Skills you'll use

What you'll do

• Technical Leadership:
• Provide direction and be responsible for the output of Cloud and AI platform within the application development.
• Implement AI platform strategy, ensuring that it aligns with the overall business and product objectives.
• Own AI and Data platform stack for the solution aligned with the product vision as defined by the solution product owner.
• Contribute to the definition of applications development policies, standards, and procedures.

Who can apply

• 5+ years in software/data engineering roles, with a strong track record in cloud-native data solutions.
• Proven expertise in AWS services (e.g., Lambda, S3, IAM, KMS, API Gateway,).
• Hands-on experience with Terraform (or similar IaC tools) for provisioning and managing cloud infrastructure.
• Strong data engineering skills such as Spark / AWS Glue / Databricks, including building and optimising ETL/ELT pipelines.
• Proficiency in SQL (preferred) and Python (required for automation and data processing).
• Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).
• Exposure to Gen-AI development environment such as Azure AI, AWS Bedrock or GCP.
• Experience in using AI productivity tools such as Cursor and exposure to Prompt Engineering.

About Cigna

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