Lead Data Engineer

About the Role:

We are seeking a highly motivated and innovative Lead Data Engineer to spearhead our data initiatives. As the first data engineer on our team, you will be instrumental in building a robust data infrastructure from the ground up. You will be responsible for taking our existing data science POC and scaling it into a production-ready system that drives data-driven decision-making.

Responsibilities:

Foundational Data Infrastructure: Design and implement a scalable data architecture to support our growing data needs.

POC to Production: Transition our existing data science proof-of-concept into a production-grade data pipeline.

Data Governance: Establish data governance policies and standards to ensure data quality and integrity.

Collaboration: Work closely with data scientists, product managers, and engineering teams to align data initiatives with business objectives.

Requirements:

Proven Experience: 4+ years of experience in data engineering, with a focus on building data pipelines and data warehouses.

Technical Proficiency: Strong command of SQL, Python, and big data technologies (e.g., Hadoop, Spark).

Cloud Expertise: Experience with cloud platforms (AWS, GCP, or Azure) for data storage and processing.

Startup Mentality: Ability to thrive in a fast-paced, startup environment and wear multiple hats.

Leadership: Demonstrated ability to lead technical projects and mentor team members.