
Senior Data Engineer (Healthcare Economics)
- Dublin
- Permanent
- Full-time
- Design, develop, and maintain data pipelines, to ingest, transform, and store healthcare data from various enterprise data sources
- Participate in discussions 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
- Design, code, test, document, and maintain high-quality and scalable Big Data solutions
- Define security and backup strategy for data solutions
- Design, build and implement real time / near real time data pipelines
- Write technical documentation
- Bachelor’s Degree (or higher) in a relevant field, or equivalent industry experience
- Understanding of data architecture, data modelling and data warehousing principles
- Hands on experience with cloud technologies and data warehousing principles
- Proficient in SQL and experience with an object oriented/object functional scripting language: Python, Scala, Java etc.
- Demonstrable experience working within Snowflake database
- Successful track record in leading technical teams
- Experience in medical claims data including hospital, ancillary, and physician
- Experience with tools such as Databricks, Airflow, GitHub actions, Azure cloud environment (Data Factory, Key Vault etc.)
- Understanding of Agile methodology
- Experience with Apache Kafka
- Experience working with Kimball, Data Vault