Azure Data Engineer

Key Responsibilities:

Data Modeling:

• Design and develop data models for Azure-based data solutions, including data lakes, data warehouses, and data pipelines.

Data Architecture:

• Collaborate with data architects and engineers to define data architecture patterns and implement Azure best practices.

Data Ingestion:

• Create and implement data ingestion strategies to ensure efficient collection, processing, and storage of data.

ETL Development:

• Build and optimize ETL processes using tools like Azure Data Factory and Databricks to support business needs.

Data Quality:

• Implement data validation and cleansing routines to maintain data accuracy and integrity.

Data Governance:

• Ensure data solutions adhere to governance and security policies, including access controls and encryption standards.

Performance Optimization:

• Monitor and optimize performance of data models, queries, and processing workflows.

Documentation:

• Maintain detailed documentation for data models, schemas, pipelines, and flow diagrams.

Cross-Functional Collaboration:

• Work closely with data engineers, scientists, analysts, and business stakeholders to understand requirements and deliver solutions.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or related field
• 3–5 years of experience in data engineering, with a focus on Azure platforms
• Proficiency in data modeling tools and query languages (e.g., SQL)
• Strong hands-on experience with Azure Data Factory, Azure Databricks, and Power BI
• Solid understanding of data lakes, data warehouses, and data integration
• Knowledge of Azure Synapse, Data Lake Storage, and SQL Data Warehouse
• Strong problem-solving and analytical thinking abilities
• Excellent communication and team collaboration skills