Skill requirements in order of preference:
6 - 8 years in data engineering, of which at least 3+ years on Azure.
5+ years of development experience across ADF, Databricks, Python.
Azure Data Factory: Pipelines, data flows (mapping/wrangling), triggers, integration runtimes, parameterization, error handling & retries.
Azure Databricks: Databricks Notebooks, Jobs/Workflows, PySpark/Scala, Delta Lake, cluster configuration and optimization.
Programming: Advanced Python or Scala (at least one), robust coding standards, modularization, and unit testing (e.g., pytest)
Practical experience with Scrum/Kanban; story slicing, Azure DevOps
ETRM skills are desirable
Location :
Pan India ( WFH )
📌 Azure Data Engineer Noida
🏢 Kairos Technologies
📍 Noida
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