As a Senior Data Engineer, you'll play a crucial role in building and maintaining data pipelines that support various analytics and reporting needs. This position is ideal for someone who enjoys hands-on work and has a strong background in data engineering.
In this role, you'll be part of a dynamic team that collaborates closely with Analytics Engineers, Data Analysts, and Data Scientists to create robust data solutions. Your main responsibility will be to design, build, and operate data pipelines that support analytics, billing, and reporting across the organization. This is a hands-on position where you will take ownership of the data engineering processes and ensure the quality and efficiency of the data flow.
You will lead the design and development of ELT pipelines and curated data products, ensuring that best practices in data modeling are followed. This includes setting the modeling approach for staging, intermediate, and data mart layers, particularly in Snowflake. You will also be responsible for integrating new data sources and ensuring that the data is accessible and usable for various stakeholders.
The ideal candidate for this role should have a strong background in data engineering, with at least five years of experience. You should be comfortable working in a cloud-native environment and have a solid understanding of SQL and data modeling techniques. Experience with Snowflake and familiarity with AI/ML workloads will be advantageous, but the key requirement is a passion for building efficient data solutions.
If you thrive in a collaborative environment and enjoy taking ownership of your work, this role will suit you well. You will be expected to lead initiatives and mentor junior team members, making it a great opportunity for those looking to advance their careers in data engineering.
You'll be taken to the original listing on PNet to apply.