As a Senior Data Engineer, you'll play a crucial role in shaping data solutions that support various analytics and AI initiatives. This position is ideal for someone with a strong SQL background and experience in data integration and warehousing.
In this role, you'll be part of a dynamic team that includes Data Analysts, Data Scientists, and Software Engineers, all working together to create robust data solutions. Your main responsibility will be to design and implement data pipelines that facilitate the flow of information across various platforms. You'll work closely with other team members to ensure that data is accessible and usable for analytics and AI projects.
Your day-to-day tasks will involve writing and optimizing SQL queries, developing data integration processes, and managing data warehousing solutions. You'll also need to stay updated on best practices in data engineering and contribute to the development of reference architectures that guide the team.
This role is suited for someone with at least five years of experience in data engineering, particularly with a strong focus on SQL. Familiarity with analytics and AI/ML workloads will be beneficial, as you'll be working on projects that leverage these technologies. Strong problem-solving skills and the ability to collaborate effectively with a diverse team are essential for success in this position.
Key requirements include: • Proficiency in SQL and data warehousing techniques • Experience with data integration tools and processes • Knowledge of analytics and AI/ML data workloads is a plus
If you're looking to make an impact in a tech-focused environment and enjoy working with data, this could be the perfect opportunity for you.
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