Datazymes
Azure Data Engineering
TLDR
Design and implement efficient data pipelines in Azure for Life Sciences clients, leveraging state-of-the-art technologies to transform data into actionable insights.
- Experience in setting up data pipelines in Azure.
- Experience with Azure Data Factory
- Experience with setting up Azure Data Lake with structured/unstructured data.
- Candidate needs to be a self-starter and should be able to design, develop and deliver solution without much assistance or supervision.
- Strong knowledge of Azure services - Storage (AFS, Blob, Data Lake), Azure Functions.
- Strong knowledge of database - Should be able to write complex queries, schema design.
- Ability to set up CI/CD pipelines in Azure through GitHub.
- Bachelor’s or master’s degree in computer science, Information Technology
- Experience with batch job scheduling and identifying data/job dependencies.
Preferred Skills:
- Proficiency in data warehousing, ETL, and big data processing.
- Familiarity with the Pharma domain is a plus.
DataZymes is a data analytics company focused on the Life Sciences sector, helping organizations leverage their data to derive actionable insights. With a team of expert data scientists and an array of tailored solutions, we enable our clients, particularly in Pharma, to enhance decision-making and improve outcomes in a competitive landscape.
Data Engineer