onsite
Lead Azure Data Engineer - Weekday
Data Engineer
Lead Azure Data Engineer responsible for designing, building, and optimizing large‑scale cloud data platforms, including data lakes and warehouses, using Azure services, SQL, Python, and Spark to enable real‑time and batch analytics.
About the role
Key Responsibilities
- Design, develop, and maintain scalable Azure data pipelines for real‑time and batch processing.
- Build and optimize data lake and data warehouse solutions using Azure Synapse, ADLS, and Databricks.
- Implement robust ETL processes, data quality checks, and metadata management.
- Collaborate with data scientists, BI teams, and business stakeholders to deliver high‑quality data assets.
- Monitor performance, troubleshoot issues, and continuously improve data architecture.
Requirements
- 4+ years of experience in data engineering with a focus on Azure cloud services.
- Strong proficiency in SQL, Python, and Spark for data transformation.
- Hands‑on experience with Azure Synapse, ADLS, Azure Data Factory, and Databricks.
- Solid understanding of data modeling, ETL best practices, and data governance.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.