Senior Data Engineer with extensive experience (Hands on) in Azure data services and Databricks.
Azure data services, Databricks, Python, SQL, PySpark, GitHub. This is a hybrid role.
Responsibilities
implement data solutions using Azure services (e.g., Synapse Analytics, Databricks, Snowflake, Azure SQL, Azure Blob Storage, ADLS Gen2, Azure Functions, Azure Key Vault, AI/ML).
• Develop data pipelines and transformations (ETL/ELT).
Requirements:
• 7+ years of IT experience, including a minimum of 5 years as a Data Engineer.
• 5+ years of experience with the Azure cloud platform.
• Proven experience with Azure data services (e.g., Azure Key Vault, Azure Blob Storage, ADLS Gen2, Synapse Pipeline, Log Analytics, Logic App, Purview, Azure Functions).
• Experience with Databricks, Power Automate, Power BI, Azure SQL.
• Proficiency in Python, SQL, API, and PySpark.
• Expertise in optimizing ETL processes, data warehouse, and data lake management.
• Experience with CI/CD and DevOps practices.
• Experience with structured, unstructured, and semi-structured data.