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About the role:
We are seeking a highly skilled and motivated Senior Data Engineer to join our team to help define and build Pharmanovias longterm data management strategy. Pharmanovia is aiming to build a highly autonomous selfservice data and analytics platform which can extract and align data from many bestinclass SaaS platforms (e.g. SAP S4 HANA Salesforce CRM Veeva RIMS and others) to deliver efficient business insights to Pharmanovia management and operational teams.
As a Senior Data Engineer you will play a crucial role in defining Pharmanovias longterm data analytics strategy covering but not limited to:
Data Architecture Infrastructure (AWS):
Design and implement scalable data architectures to support various data sources and types
Select appropriate database technologies data warehouses and/or data lakes
Manage cloud infrastructure to support data processing and storage need
Data Integration ETL:
Develop pipelines to ingest clean and integrate data from disparate sources
Automate data integration processes to improve efficiency and reliability
Implementing reporting and visualization tools for data exploration and analysis
Identify and implement optimizations to enhance data processing and query performance
Data Analytics:
Building analytical capabilities to support selfservice data analytical tools
Reporting and maintenance of data quality of core datasets and define improvement strategies
Develop data infrastructure to support potential AI/ML usecases
Data Governance:
Establishing data governance frameworks policies and standards
Defining data ownership stewardship and quality management processes
Implementing data management practices for data acquisition storage integration and archival
Data Security:
Ensuring compliance with relevant data privacy regulations (e.g. GDPR CCPA HIPAA)
Conducting regular audits and assessments to assess and mitigate data security risks
In addition to the above you will need to demonstrate a good understanding of the reallife use cases for the data to ensure activities are appropriately prioritised and any data issues or concerns that could impact decision making are identified and well communicated. You will be required to collaborate with various technical and nontechnical teams across Pharmanovia to understand business problems and deliver solutions appropriate to the business requirements.
You should have extensive experience working with the AWS platform as well as additional tools such as Databricks and have demonstrated proficiency in designing and managing databases and data platforms.
As a Senior Data Engineer you will play a crucial role in building and optimising our data infrastructure ensuring scalability reliability and efficiency. This role is essential for driving datadriven decisionmaking and enhancing our ability to extract insights from vast amounts of data.
Main responsibilities duties:
About you:
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Remote Work :
No
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