Lead Data Engineer with Azure Expertise
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Summary
A hands-on lead data engineer role building and running an enterprise Azure data platform: designing scalable Databricks pipelines, supporting data ingestion and transformation, handling monitoring and incident resolution, integrating services like Braze, and leading code reviews. Core stack: Python, SQL, Azure DevOps and CI/CD.
Take the lead as a hands-on Senior Data Engineer developing and enhancing our Azure-based data platform. Drive impactful data solutions and platform reliability at our enterprise level.
We are looking for a Senior Data Engineer to spearhead the development and continuous improvement of our Azure data platform. This role integrates data engineering with technical leadership, ensuring the creation of scalable data pipelines and reliable solutions. Strong experience in Python and Azure DevOps is essential as you guide teams and collaborate on platform enhancements.
Key Responsibilities: • Design scalable data pipelines with Azure Databricks • Support data ingestion and transformation within Azure • Provide incident resolution and platform monitoring • Implement integrations with Braze and other services • Lead code reviews and best engineering practices
Requirements: • 6+ years in Data Engineering and platform delivery • Expertise in Python, SQL, and CI/CD practices • Strong troubleshooting and operational support skills • Experience leading teams and managing stakeholders • Excellent communication and collaboration abilities
Join us to create high-performing, scalable data solutions in a dynamic environment.
We are looking for a Senior Data Engineer to spearhead the development and continuous improvement of our Azure data platform. This role integrates data engineering with technical leadership, ensuring the creation of scalable data pipelines and reliable solutions. Strong experience in Python and Azure DevOps is essential as you guide teams and collaborate on platform enhancements.
Key Responsibilities: • Design scalable data pipelines with Azure Databricks • Support data ingestion and transformation within Azure • Provide incident resolution and platform monitoring • Implement integrations with Braze and other services • Lead code reviews and best engineering practices
Requirements: • 6+ years in Data Engineering and platform delivery • Expertise in Python, SQL, and CI/CD practices • Strong troubleshooting and operational support skills • Experience leading teams and managing stakeholders • Excellent communication and collaboration abilities
Join us to create high-performing, scalable data solutions in a dynamic environment.