Data Engineering Senior Analyst

The Cigna Group; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

The Cigna Group is seeking a Cloud Data Engineer in Bengaluru to architect, develop, and optimise robust AI data solutions on cloud platforms. You will lead cloud and AI platform efforts, drive timely delivery, and mentor junior engineers to build scalable, secure data infrastructure that supports high-performance applications.

The role requires 5+ years in software/data engineering, strong AWS, Terraform, Spark, and Python expertise, and a collaborative approach to align with product and

Qualifications

• 5+ years in software/data engineering with cloud-native data solutions.
• Strong experience in AWS services (Lambda, S3, IAM, API Gateway).
• Hands-on with Terraform for IaC provisioning and management.
• Expertise in Spark/AWS Glue/Databricks for ETL/ELT pipelines.
• Proficient in SQL and Python for automation and data processing.

Responsibilities

• Provide direction and leadership for Cloud and AI platform within applications.
• Implement AI platform strategy aligned with business objectives.
• Own AI and Data platform stack in line with product vision.
• Mentor junior developers, promoting automation and collaboration.
• Deliver software projects on time, within budget, and to quality standards.
• Ensure scalable, secure, and efficient solutions following design principles.

Skills

Cloud Data Engineering

AWS

Terraform

Spark

Python

SQL

CI/CD

Jira

Gen-AI tools

Leadership

Education

Bachelor’s or Master’s degree in CS/Software/Data Eng

Tools

Terraform

Jenkins

GitHub Actions

GitLab CI

Databricks

S3/GCS/AWS services

Jira

Job description

Overview

Cigna International Health is seeking a skilled Cloud Data Engineer to architect, develop, and optimise robust AI data solutions on cloud platforms. This role is pivotal in building and maintaining the foundational AI and Data infrastructure that supports scalable, secure, and high-performance applications for our business.

The ideal candidate will engineer technical solutions, produce clean code, and ensure successful delivery of software solutions aligned with business goals.

Responsibilities

• 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.
• Mentoring:
• 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.

Requirements

• Experience:
• 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.
• Leadership & Communication:
• Demonstrated ability to mentor technical teams.
• Excellent communication and collaboration skills.
• Education:
• Bachelor’s or Master’s degree in Computer Science, Software/Data Engineering, or a related field.
• Desirable:
• Experience working in regulated environments or with multi-region/multi-currency systems.
• Familiarity with agile methodologies and iterative delivery.
• Exposure to Jira or similar project management tools.

About The Cigna Group

Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.