Data Engineer

We are looking for a Lead Data Engineer who will be responsible for managing an Enterprise Data Warehouse and ensuring the efficient flow and quality of data.

Your tasks will include implementing data processes, managing data architecture, designing ETL processes, and analyzing data for business insights. You will also make data accessible through various platforms and consult internal teams on data usage.

This role is ideal for someone with extensive experience in data management, a strong background in computer science, and excellent communication skills.

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Responsibilities

• Implement data processes for the Data Warehouse and internal systems
• Manage and update Data Engineering architecture
• Implement processes for data accuracy and reconciliation
• Design and implement ETL processes
• Make data available through reporting platforms
• Analyze data and communicate insights to stakeholders

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Qualifications

• Experience in data architecture, data quality, metadata management, ETL, analytics, reporting, and database administration
• Strong computer science background and knowledge of software development methodologies
• Excellent knowledge of SQL
• Programming experience in a modern language (ideally Python)
• Good communication skills
• Diligent, rigorous, and collaborative

Bonus Skills

• Experience in Project Management, Business Analysis, Consulting, Operations, Statistical Analysis, or Quality Assurance
• Familiarity with Redshift, APIs, Git, Linux, AWS, and Google Cloud