We are hiring a Data Engineer to join our Data management division at Trust, a leading data platform. This role focuses on data strategy, data preparation, implementation, and quality assurance, working with large datasets to support analytics use cases. The ideal candidate will have strong experience with ETL tools, databases, and data modelling.
Requirements
- Degree/master’s in computer science, Information Technology, Computer Engineering or equivalent.
- At least eight (8) years of relevant working experience in Data management / Integration / Modelling the data warehouse or advanced analytics solutions.
- Demonstrate good, in-depth knowledge in relevant Extract-Transform-Load (ETL) hardware/software products, frameworks, and methodologies.
- Experience in designing and implementing cloud-based data solutions using cloud platforms (e.g., AWS cloud native tools).
- Experience with at least two of the following areas: Databases (e.g., Oracle, MS SQL, MySQL, Teradata), Big data (e.g., Hadoop ecosystem), ETL development using ETL tools (e.g., Informatica, IBM DataStage, Talend), Data repository design (e.g., operational data stores, dimensional data stores, data marts), Data interrogation techniques (e.g., SQL, NoSQL), Structured and unstructured data analytics, Batch and real-time data ingestion and processing, Data quality tools and processes, Data transformation and terminology equivalence mapping.
- Experience in data modelling for analytics (e.g., star schemas, snowflake schemas, OMOP CDM).
- Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level.
- Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
Benefits
- Competitive salary
- Opportunity to work in a leading data platform
- Professional development