Description

Design and implement end-to-end ETL/ELT solutions for data integration and transformation.

Responsibilities

• Build and manage batch and near real-time data ingestion pipelines using Azure services.
• Develop serverless data warehouses and orchestrate workflows using Azure components.
• Implement data extraction, cleansing, and management processes.
• Collaborate with stakeholders to define and meet specific data requirements.
• Leverage event-driven cloud platforms to support applications and services.

Required Skills

• 7+ years of experience in Data Engineering and ETL.
• 3+ years of hands-on experience with Azure Data Engineering and Databricks.
• Proficiency in Python and PySpark.
• Deep technical knowledge of Azure Data Factory, Azure Synapse, SQL DB, and ADLS.
• Strong experience in data modeling.
• Expertise in data ingestion, egress, and transformation workflows.
• Any Graduate degree.

Preferred Skills

• Azure Certified Data Engineer.
• Experience with Azure DevOps, GitHub, and cloud migration methodologies.
• Ability to drive customer calls independently.

Key Skills

Education

Any Graduate