Senior Data Analyst @ Optum

Primary Responsibility:

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• 6+ years of experience in Data Engineering (Spark and Scala)
• 4+ years of experience in building data pipeline, ETL using Databricks
• 4+ years of experience working with relational databases and database structures
• Good experience in working with Azure PaaS based application, cloud deployment
• Experience working in an Agile development environment
• Experience building unit tests
• Experience building queries in SQL, preferably PL/SQL
• Experience in using GenAI tools (Github Co-pilot etc.)
• Experience using a source control repository, preferably GIT
• Experience working with all levels of leadership
• Experience navigating cross-functional/cross-segment enterprise groups within an organization
• Experience or knowledge in Azure, Snowflake, Databricks, ADF, Streaming Solutions, Terraform
• Proficiency in SQL, with practical experience in PostgreSQL or similar relational databases
• Good understanding of secure coding best practices, remediation of security vulnerability general knowledge
• Proven problem solving skills, able to analyze logs and trouble shoot issues
• Proven willingness to learn new technologies and eagerness to think outside the box

Preferred Qualifications:

• Azure cloud experience working in enterprise-scale data platforms
• Snowflake and Delta lake experience
• Github actions workflow experience Solid debugging, performance tuning, and problem-solving skills
• Experience working with cloud-based data engineering and analytics (e.g, Azure, Azure Data Factory, Databricks, Snowflake)
• Experience working with data warehouse analysis and modelling, with the ability to read Data Flow Diagrams, Conceptual and Physical Models
• Experience writing process and end-user documentation to support maintenance of analytics solutions
• Experience with a programming language, ideally Python
• Experience with Agile project management methodology
• Healthcare industry experience, ideally with claims data and network data
• ETL pipeline, Azure data bricks, Scala /Python experience Proven ability to work effectively in a distributed, cross-functional team environment
• Azure cloud ,RDBMS , healthcare knowledge ,CI/CD,AI/ML Knowledge