ApplySarthi

Azure Data Engineering

Datazymes

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Preparing for this interview

Interviews for engineering roles keep coming back to AWS, Python. Practise those questions before you sit with Datazymes.

Questions you are likely to be asked

  1. Why do you want to join Datazymes?
  2. What is your experience with Azure? Tell me one thing you learned the hard way.
  3. Tell me about a time the data was messy or wrong. What did you do?
  4. How would you explain your model's result to someone who is not technical?
  5. What would you check first if a model's accuracy dropped after going live?

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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.

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Listed on smartrecruiters · posted 2025-04-01. ApplySarthi collects openings and links to application pages; the role is advertised by Datazymes, not by us.