Job highlights

- 5-8 years in data engineering with 3+ years on Azure, expertise in ADF, Databricks, Python/Scala, and experience with Scrum/Kanban

- Develop and manage Azure Data Factory pipelines, Databricks workflows, optimize clusters, implement error handling, and perform unit testing

Role & responsibilities

Skill requirements in order of preference

1. 5 (min.) - 8 years in data engineering, of which at least 3+ years on Azure.

2. 5+ years of development experience across ADF, Databricks, Python.

3. Azure Data Factory: Pipelines, data flows (mapping/wrangling), triggers, integration runtimes, parameterization, error handling & retries.

4. Azure Databricks: Databricks Notebooks, Jobs/Workflows, PySpark/Scala, Delta Lake, cluster configuration and optimization.

5. Programming: Advanced Python or Scala (at least one), robust coding standards, modularization, and unit testing (e.g., pytest)

6. Practical experience with Scrum/Kanban; story slicing, Azure DevOps

7. ETRM skills are desirable

📌 Azure Data Engineer (Chennai)
🏢 Tekskills
📍 Chennai