Data Engineering Senior Analyst

About this role

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Skills you'll use

What you'll do

• Technical Leadership:
• Provide direction and be responsible for the build out of Data Products to service various operations and regulatory needs.
• Implement software engineering strategy, ensuring that it aligns with the overall business and product objectives.
• Contribute to the definition of applications development policies, standards, and procedures.
• Lead and mentor junior software development team members, fostering a culture of innovation, automation, collaboration, and excellence.
• Take active part in career development and performance of junior software development team members.
• Project Delivery:
• Execute software projects, ensuring they are delivered on time, within budget, and meet quality standards.
• Execute project plans and application designs to ensure projects are aligned with standards and IT strategy.
• Follow the design principles, and development best practices to ensure scalable, secure, and efficient solutions, collaborating with other senior leads.

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., AWS Glue, S3, IAM, KMS, Cloudwatch and more).
• Strong data engineering skills, including building and optimising ETL/ELT pipelines.
• Proficiency in SQL (preferred) and Python (required for automation and data processing).
• Experience with API development, security (OAuth 2.0, JWT), and documentation (OpenAPI/Swagger) will be a plus.
• Hands-on experience with Terraform (or similar IaC tools) for provisioning and managing cloud infrastructure.
• Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).
• Leadership & Communication:
• Demonstrated ability to mentor technical teams.
• Excellent communication and collaboration skills.

About Cigna

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