Senior Data Engineering Analyst ADF and SQL

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

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:

• B.E / MCA / B.Tech / MTECH /MS Graduation (Minimum 16 years of formal education, Correspondence courses are not relevant)
  2+ years of experience on Azure database offering like SQL DB, Postgres DB, constructing data pipelines using Azure data factory, design and
• development of analytics using Azure data bricks and snowpark
• 2+ years of experience on Cloud based DW: Snowflake, Azure SQL DW
• 2+ years of experience in data engineering and working on large data warehouse including design and development of ETL / ELT
• 3+ years of experience in constructing large and complex SQL queries on terabytes of warehouse database system
• Good Knowledge on Agile practices – Scrum, Kanban
• Knowledge on Kubernetes, Jenkins, CI / CD Pipelines, SonarQube, Artifactory, GIT, Unit Testing
• Main tech experience : Dockers, Kubernetes and Kafka
• Database: Azure SQL databases
• Knowledge on Apache Kafka and Data Streaming
• Main tech experience : Terraform and Azure..
• Ability to identify system changes and verify that technical system specifications meet the business requirements
• Solid problem solving, analytical kills, Good communication and presentation skills, Good attitude and self-motivated
• Solid problem solving, analytical kills
• Proven good communication and presentation skills
• Proven good attitude and self-motivated

Preferred Qualifications:

• 2+ years of experience on working with cloud native monitoring and logging tool like Log analytics
• 2+ years of experience in scheduling tools on cloud either using Apache Airflow or logic apps or any native/third party scheduling tool on cloud
• Exposure on ATDD, Fortify, SonarQube
• Unix scripting, DW concepts, ETL Frameworks: Scala / Spark, DataStage

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone – of every race, gender, sexuality, age, location and income – deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.