MAJOR ACCOUNTABILITIES

• Assist in designing scalable data ingestion and integration solutions for smooth onboarding of business data into the TRD Data platform.
• Ensure data is ‘fit for use’ by applying business and technical rules during its lifecycle.
• Identify automation opportunities or accelerators where possible.
• Build data pipelines using Python CI/CD and transformation workflows to process or integrate various data sets from ingestion to consumption layers.
• Align with Solution Architects and vendors for best practices.
• Adopt data management practices to ensure data quality, data modeling, harmonization, standards, and ontologies.
• Handle metadata effectively and leverage enterprise ontology management.
• Ensure FAIR data principles are adhered to wherever applicable.
• Perform requirement scoping assessments to determine project feasibility.
• Highlight gaps in existing functionality and review requirements with stakeholders.
• Develop comprehensive requirement specifications to estimate cost, time, and resources for deploying solutions.
• Liaise with the service development team to suggest high-level functional solutions.
• Develop project estimates and complete financial models (costs, savings, revenue opportunities, investment horizon, etc.).
• Ensure relevant stakeholders are involved in specifying new services and/or major upgrades to existing services.
• Ensure the overall user experience is considered when designing and deploying data solutions and services.
• Ensure implemented solutions are according to specifications and fit for purpose.
• Support end-user training and self-service activities.

KEY PERFORMANCE INDICATORS / MEASURES OF SUCCESS

• Feedback on project execution (implementation quality, time)
• Programming and process efficiency
• Steady/error-free data process flow
• Completeness and accuracy of project deliverables
• Ability to document and test activities up to date

IDEAL BACKGROUND

Education:

• Currently pursuing an Engineering Degree in Informatics, Computer Sciences, Life Sciences, or a related field.

Skills & Knowledge:

• Basic knowledge of Python programming and ETL and BI concepts
• Familiarity with generative AI and Streamlit for creating interactive data applications
• Understanding of data ingestion patterns in AWS cloud and third-party tools
• Basic SQL query writing skills on relational databases like Oracle/MS SQL Server
• Understanding of data consumption topics like data science, reports, dashboards, and KPIs
• Familiarity with ETL tools like Alteryx and BI tools like Power BI
• Understanding of metadata and data discovery techniques
• Basic knowledge of AWS cloud data integrations and data management technologies
• Familiarity with data architecture and data engineering concepts such as data modeling, data lakes, and data analytics
• Strong analytical, critical thinking, and problem-solving skills
• Experience working in Agile projects and methodology (preferred)