Key Responsibilities:

• Design and implement data pipelines and architectures.
• Develop ETL/ELT processes using Azure Data Factory and related tools.
• Optimize data storage and performance in Azure data lakes and databases.
• Collaborate with teams to deliver clean, reliable data for analytics.

Requirements:

• Hands-on experience with Azure data services (ADF, Synapse, Databricks, etc.).
• Proficiency in SQL and data modelling concepts.
• Experience with programming languages like Python or Scala.
• Strong problem-solving and communication skills.

Preferred:

• Azure certifications (e.g., DP-203)
• Experience with CI/CD for data pipelines.

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