About this role

Company Description

DataZymes Analytics is a cutting-edge and innovative data analytics company working with Life Sciences clients that empowers businesses and organizations to unlock the true potential of their data. Our mission is to harness the power of data and transform it into actionable insights, enabling our clients to make informed decisions and gain a competitive edge in today's data-driven world.

With a team of highly skilled data scientists, analysts, and engineers, DataZymes Analytics is committed to delivering top-notch solutions tailored to the unique needs of each client. Aided by our suite of cutting-edge products and accelerators, we are helping our Pharma clients on their Data to Insights journey. In a short span, we have built a high-performance team in focused practice areas, built digital-enabled solutions, and are working with some marquee names in the US healthcare industry.

What sets us apart is our dedication to accuracy, efficiency, and innovation. We utilize the latest technologies and industry best practices to ensure the highest quality of work and the fastest turnaround times. Moreover, our agile approach allows us to adapt quickly to changing requirements and deliver exceptional results within the most demanding timelines.

Job Description

  • 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.

Qualifications

  • Bachelorโ€™s or masterโ€™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.

Additional Information

Frequently Asked Questions

Is the salary disclosed for the Azure Data Engineering position at datazymes?
The salary for this Azure Data Engineering role at datazymes is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Azure Data Engineering position at datazymes located?
This Azure Data Engineering role at datazymes is based in Bangalore, Bangalore, Karnataka, India, Karnataka, in. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Azure Data Engineering role at datazymes full-time or part-time?
This is listed as a Full time position. It is posted as a Azure Data Engineering role at datazymes.
How do I apply for the Azure Data Engineering position at datazymes?
Click the "Apply Now" button on this page. You will be redirected to datazymes's official application portal hosted on smartrecruiters where you can submit your application directly.
When was the Azure Data Engineering job at datazymes posted?
This Azure Data Engineering position at datazymes was posted on Apr 1, 2025. Apply as soon as possible โ€” early applications are often reviewed first.
Azure Data Engineering
datazymes
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