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Novartis

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4.1

based on 1.6k Reviews

228 Novartis Jobs

Sr.Spec.DDIT DEV. TD TRD

Novartis Healthcare Pvt. Ltd.

4.1

based on 1.6k Reviews

5-7 years

Hyderabad / Secunderabad

1 vacancy

Sr.Spec.DDIT DEV. TD TRD

Novartis

posted 10d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Oracle Healthcare Automation Testing Clinical Data Management Life Sciences

+ 4 more

Job Description

Act as an Data Engineer for Cloud data platform and support development activities to SPINE program

Engage with internal and external IT partners and leverage both business and technical knowledge from various teams and functions to determine requirements and deliver data-driven solutions and recommendations to improve efficiency and add value

About the Role

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.