Data Engineering Consultant

Caring. Connecting. Growing together

Primary Responsibilities:

• Develops and maintains scalable data pipelines in response to customer requirements
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues
• Design, develop, implement and run data solutions that improve data efficiency, reliability and quality
• Implements unit test cases using PyTest and perform quality checks
• Ensure the code is meeting the desired quality checks using Sonar
• To make sure all the cloud infra is intact and resolve any issues encountered
• Deploy and execute code using AKS and making sure all configs are in place
• Schedule the deployed pipelines using Airflow following proper dependency hierarchy of jobs
• Move the code/application to higher environments(stage/prod) from non-prod for go-live
• Maintain all credentials using Azure Key Vault service to ensure security
• Build and maintain pipelines and automation through GitOps (GitHub Actions, Jenkins, etc.)
• Identifies solutions to non-standard complex requests and problems and creates solution using available technologies
• 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

Qualifications - ExternalRequired Qualifications:

• Bachelor/masters degree in computer science or information technology or equivalent with 4+ years of work experience
• Solid experience in programming languages like Python, Scala
• Good experience in job schedulers like Airflow
• Expertise in BigData frameworks like Spark and good understanding of Hadoop concepts
• Good experience in working on cloud environment, preferably Azure
• Proven experience in cloud services like Azure Kubernetes, Azure Data Lake, Azure Databricks, Azure Container Registries, Azure Service Bus, Azure Key Vault
• Solid experience and expertise in writing complex queries in SQL and PL/SQL
• Experience in writing Shell scripting and Snowflake
• Experience with Continuous Integration CI/CD pipelines using Jenkins, GitHub Actions
• Experience working in an agile environment
• Experience working across teams and proven track record in solution focused problem-solving skills.

Preferred Qualification:

• Good understanding of US healthcare

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.