Sr.Spec.DDIT DEV. TD TRD

Key Responsibilities:

• Design and scalable Data Ingestion and integration solutions to process smooth onboarding of business data into TRD Data platform.
• Ensure data is fit for use by applying business and technical rules during its life cycle
• Look for automation opportunities or accelerators wherever possible.
• Build Data pipelines using Python CI/CD and transformation work flows to process or integrate various data sets from Ingestion to consumptions layers.
• Align with Solution Architects and vendors for best practices.
• Ensure Data Management practices are adopted towards data quality, Data modeling, harmonization, standards, Ontologies etc.
• Handles metadata effectively and leverage enterprise ontology management.
• Ensure FAIR data principles are adhered wherever applicable.
• Perform requirement scoping assessments to determine feasibility of projects.
• Highlight/identify gaps in existing functionality and review requirements with stakeholders.
• Develop a comprehensive requirement specification that will determine the estimate of cost, time and resources to deploy solutions.
• Liaise with the service development team to suggest a high level functional solution.
• Develop project estimates and complete financial model (costs, savings, revenue opportunities, investment horizon, etc.)
• Ensure that relevant stakeholders are involved in specification of new services and/or major upgrades to existing services.
• Ensure the overall user experience is taken into account when designing and deploying data solutions and services.
• Ensure implemented solutions are according to specifications and fit for purpose.
• Support end user trainings and self-service activities.

Essential Requirements

Education Qualifications

University degree in Informatics, Computer Sciences, Life Sciences or similar

Experience

• 5+ years of relevant experience in data Engineering, IT in Healthcare.
• Must have experience in designing and implementing ETL BI data products using primarily with Python and R
• Experience in building data transfer workflows and data error handling technics.
• Well versed with Data ingestion patterns in AWS cloud and Third party tools
• Working experience in handling Data objects in AWS cloud S3 Redbrick environment
• Require strong SQL query writing on relational DB like Oracle/MS SQL Server
• Good understanding of data consumption topics like Data science, Reports, Dashboards, KPIs.
• Working knowledge on ETL tools like Alteryx, BI tools like Power BI
• Good understanding metadata and data discovery technics
• Experience on AWS Cloud data integrations and data management technologies.
• Familiarized with data architecture and data engineering concepts such, data modelling, Data lakes, Data Analytics, etc.
• Strong analytical, critical thinking, and problem-solving skills
• working experience in Agile projects and methodology
• Excellent communication and working with business teams. Good understanding of Data analysis design and Data architecture concepts.
• Knowledge of GXP, and Agile project methodology
• Proficient skills in global teams, collaboration, facilitation, negotiation, working in a matrix environment and conflict resolution.