Description

Key Responsibilities

• Design and develop scalable ETL/ELT data pipelines
• Implement data ingestion solutions from APIs, files, and external systems
• Work extensively with Azure Databricks, Data Factory, and Synapse
• Build and optimize batch and real-time data processing workflows
• Manage and process data in Azure Data Lake / Blob Storage
• Ensure data quality, performance tuning, and optimization
• Collaborate with stakeholders to deliver data-driven solutions
• Support downstream analytics and AI/ML use cases

Required Skills

• 4+ years of experience in Data Engineering
• Strong expertise in Microsoft Azure (ADF, Databricks, Synapse, Blob Storage)
• Proficiency in Python, PySpark, SQL
• Hands-on experience with ETL/ELT pipelines and data ingestion
• Experience with API integration and real-time data processing
• Solid understanding of data lake architecture

Key Skills

Education

Bachelor's degree