Hybrid Data Engineer for Building and Optimizing Data Pipelines

Become a pivotal Data Engineer focusing on Azure and Databricks. Leverage advanced data processing frameworks to create scalable data pipelines and drive impactful insights in a hybrid work setting.

This position calls for an experienced Data Engineer with a solid understanding of data processing frameworks and relevant technologies. You will design and implement efficient data pipelines, ensuring high-quality data for analytics and business intelligence. Collaboration with cross-discipline agile teams will be key to optimizing processes and maintaining data integrity.

Key Responsibilities :

• Design and build efficient data ELT / ETL pipelines
• Collaborate with agile teams to solve diverse data challenges
• Optimize datasets for performance and integrity
• Conduct data troubleshooting and support BI Analysts
• Maintain documentation and manage metadata for datasets

Requirements :

• Four-year degree in Computer Science or related field
• Experience in data engineering and pipeline construction
• Proficient in Python, Spark, and SQL
• Knowledge of Azure Data tools and frameworks
• Strong communication skills for stakeholder engagement

Empower business intelligence by developing robust data pipelines that support innovative digital experiences across diverse data sources.

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