Associate Director Data Engineering (Healthcare Economics)
UnitedHealth Group
- Dublin
- Permanent
- Full-time
- Design, develop, and maintain data pipelines, to ingest, transform, and store healthcare data from various enterprise data sources
- Collaborate with clinical and operational teams to understand their data challenges and develop data-driven solutions
- Analyse raw data sources, data transformation, structural requirements for new software and application
- Build and implement data quality checks and ensure data integrity throughout the processing pipeline
- Identify, design, and implement internal process improvements, such as: data encryption, data de-identification to ensure data security, role-based data access, automating manual processes, optimising data delivery and/or tuning and optimising data processes for greater scalability
- Design, build and implement automation processes for production release of data engineering, machine learning and business intelligence processes.
- Code, test, document, and maintain high-quality and scalable Big Data solutions
- Define security and backup strategy for data solutions
- Build and implement real time / near real time data pipelines
- Help to ensure successful deployment of newly implemented data solutions
- Bachelor’s degree in computer science, engineering or a related field, or equivalent industry experience
- Extensive experience in SQL and object-oriented / object functional scripting language(s): Python, Scala, Java, etc.
- Proficient with Snowflake, Databricks and one or more cloud platforms (Azure, AWS, or Google Cloud)
- Proven experience with Airflow, GitHub actions, Azure cloud environment tools (Data Factory, Key Vault etc.)
- Hands on experience of developing big data processes using big data tools – such as Spark, Hadoop, Kafka, etc.Data quality and data security process, tools and technologies knowledge
- Previous experience in leading teams/people management and mentoring
- Healthcare industry knowledge with exposure to EDI, HIPAA, HL7 and FHIR integration standards
- Data virtualisation tools and technology experience
- Experience with metadata management and data catalog management process, tools and technologies
- Experience with Spark in data processing and machine learning processes.
- Hands-on experience with related/complementary open-source software platforms and languages (e.g. Java, Angular, Scala Linux, Apache, Unix)
- Experience with API technologies