Data Engineer

Data Engineer – Dublin, Ireland – Hybrid

About the job:

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

About The Role:

As a Fortune 5 business, we’re one of the world’s leading healthcare companies. There are no limits here on the resources you’ll have or the challenges you’ll encounter. We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we’re on the constant lookout for fresh talent to join our expanding teams.

As a Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Terraform, etc.), automation and innovation.

Working Schedule: 

This is a full-time position with standard working hours of Monday through Friday. This is a hybrid role based in Ireland. Your counterpart team is located in the United States, India and Ireland offices. While there is no requirement to work in shift hours, there might be an occasional call with US team which can require flexible working.
 
Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin and telecommuting from a home-based office in a hybrid work model. 

Primary Responsibilities of the Data Engineer:

• Create & maintain data pipelines using Azure & Snowflake as primary tools
• Create SQL Stored procs and Functions to perform complex transformations
• Understand data requirements and design optimal pipelines to fulfil the use-cases
• Creating logical & physical data models to ensure data integrity is maintained
• Code management, CI/CD pipeline creation & automation using GitHub & GIT Actions
• Tuning and optimizing data processes
• Design and build best in class processes to clean and standardize data
• Code Deployments to production environment, troubleshoot production data issues
• Modelling of big volume datasets to maximize performance for our Business Intelligence & Data Science Team

You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.

Required Qualifications of the Data Engineer:

•    Computer Science bachelor’s degree or similar
•    Industry experience as a Hands-on Data engineer 
•    Excellent communication skills – Verbal and Written
•    Excellent knowledge of SQL
•    Excellent knowledge of Azure Services such as – Blobs, Functions, Azure Data Factory, Service Principal, Containers, Key Vault, etc.
•    Excellent knowledge of Snowflake – Architecture, Features, Best practices 
•    Excellent knowledge of Data warehousing & BI Solutions
•    Excellent Knowledge of change data capture (CDC), ETL, ELT, SCD etc.
•    Hands on experience on the following technologies:
o    Developing data pipelines in Azure & Snowflake
o    Writing complex SQL queries
o    Building ETL/ELT/data pipelines using SCD logic in Snowflake
o    Query analysis and optimization
•    Analytical and problem-solving experience applied to a Big Data datasets
•    Data warehousing principles, architecture and its implementation in large environments
•    Experience working in projects with agile/scrum methodologies and high performing team(s)
•    Knowledge of different data modelling techniques such as Star Schema, Dimensional models, Data vault is an Advantage
•    Experience in code lifecycle management and repositories such as GIT & GitHub
•    Exposure to DevOps methodology
•    Good understanding of Access control and Data masking
•    Knowledge in Airflow is an advantage 

Preferred Qualifications of the Data Engineer:

•    Experience using CI/CD Pipelines and automation is an advantage
•    Experience using GitHub or any source control tool is preferred 
•    Automation and orchestration using ADF 
•    Create real-time analytics pipelines using Snowpipe Streaming
•    Experience developing optimized data models for Viz tool E.g. Tableau, PowerBI is an Advantage
•    Exposure and experience in other programming language such as Python, Spark etc. is an advantage
•    Hands-on experience of CI CD Pipelines using GIT & GIT Actions
•    Understanding of United States Healthcare data and applicable regulations

Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.

For more information on our Internal Job Posting Policy, click here.

All telecommuters will be required to adhere to the UnitedHealth Group’s Telecommuter Policy.

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 marginalised 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.

Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services

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