Software Engineering Senior Analyst

The Data Engineer will be responsible for determining the best approach to create test data. It includes account, enrolment, claims, and provider setup applications. This team member must have the ability to engage in test data requirements analysis with Integration Solution Manager (ISM) and Quality Engineer (QE) teams. This team player will also be responsible to collaborate with ISM & QE team to explore opportunities to automate test data setup/mining processes.

• Responsible for test data creation (data manufacturing)
• Understands various back end and front-end architecture components required for job executions.
• Determines priorities for

  test data creation

  , validation & triage.
• Understand test data mapping with test scenarios.
• Manage test data catalog and self-service mining tools.
• Manage data cleanup activities, renewal identification and planning.
• Developing subject matter expertise and building knowledge of supported applications
• Analyzing and communicating test data challenges and risks effectively to identify practical solutions.
• Completing work governed by best practices, standards and processes and continuously learning about Agile to effectively integrate best practices into delivery activities.
• Be fluent in particular areas and have proficiency in many areas.
• Have a passion to learn.
• Take ownership and accountability.
• Understands when to automate and when not to.
• Have a desire to simplify.
• Be entrepreneurial / business minded.
• Have a quality mindset, not just code quality but also to ensure ongoing data quality by monitoring data to identify problems before they have business impact.
• Take risks and champion new ideas.

Experience Required:

• 4+ years being part of Agile teams
• 2+ years of experience in a Test data account, enrollment, claims, and provider setup in healthcare domain
• 2+ years of experience in Healthcare

Experience Desired:

• 3-6 years of IT experience in similar role
• Ability to analyse, interpret, and organize large amounts of data.
• Problem-solving, and analytical skills
• Time Management skills
• Cigna application flow and business knowledge

Education and Training Required:

• Knowledge and/or experience with Health care information domains is a plus.
• Computer science Good to have

Primary Skills:

• Advance SQL knowledge
• Jira (Sprint/Kanban)
• Confluence for documentation
• Programming Logic and Algorithms
• VBA (Excel Macros)
• Build and maintain integrations with data sources and APIs
• Strong knowledge of database systems, data modeling techniques, and SQL proficiency

Automation Skills

• Efficient at least in one Programming language (Python/Java) or Scripting language (JavaScript)
• Expertise at least in one Automation Framework [Robot Framework /Behave / Pytest Framework/ BDD Cucumber / TestNG / Cypress
• Good Exposure on integrating the Test Automation & Reporting with CI Tools (Jenkins/Azure)
• Hands on experience on the platforms [ GUI Automation & Non-GUI Automation [ DB / API / MQ ( Kafka)
• Tableau data catalogue and Dashboard (Good to have)
• Proficiency with ETL tools commonly used in data engineering (like Databricks)
• Automation in Cloud (experience a plus)
• AI & Machine Learning (experience a plus)

Additional Skills:

• Excellent troubleshooting skills
• Strong communication skills
• Work in an agile CI/CD environment (Jenkins experience a plus)
• Familiarity with cloud platforms and services (like AWS, Azure)