Senior Data Engineer

📋 Description

• Design, develop, and maintain end-to-end data pipelines that efficiently collect, process
• Collaborate with data architects and stakeholders to ensure data pipelines are scalable, reliable
• Develop complex data transformation logic to prepare raw data for analysis, reporting, and
• Build, optimize, and maintain ETL/ELT processes while ensuring strong data quality, consistency
• Work directly with client stakeholders to understand data requirements and deliver effective data
• Lead and mentor a team of data engineers, providing technical direction and fostering a

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional experience as a Data Engineer, with a strong focus on cloud-based data
• Strong hands-on expertise with Microsoft Azure and its data engineering services.
• Experience with Azure Databricks, Azure SQL Database, and Azure Synapse Analytics.
• Strong programming experience with Python, PySpark, and SparkSQL.
• Experience with orchestration and automation tools such as Azure Data Factory and Logic Apps.

🎁 Benefits

• Fully remote position for candidates based in the United States.
• Opportunity to work on innovative cloud-based data engineering projects.
• Collaborative environment with opportunities to provide technical leadership and mentorship.
• Exposure to modern Microsoft Azure data technologies and distributed data platforms.
• Opportunities for professional growth and continued development of cloud and data engineering