About the Job

The Lead Data Engineer will be responsible for building and extending our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys working with big data and building systems from the ground up.

Roles & Responsibilities

• Collaborate with software engineers, database architects, data analysts and data scientists to ensure our data delivery architecture is consistent throughout the platform.
• Be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
• Optimize or even re-design our company's data architecture to support our next generation of products and data initiatives.

Required Skills & Qualifications

• Bachelor's degree in Engineering, Computer Science, or relevant field.
• 8+ years of relevant and recent experience in a Data Engineer role.
• 5+ years recent experience with Apache Spark and solid understanding of the fundamentals.
• Deep understanding of Big Data concepts and distributed systems.
• Demonstrated ability to design, review, and optimize scalable data architectures across ingestion.
• Strong coding skills with Scala, Python and the ability to quickly switch between them with ease.
• Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL.
• Cloud Experience with DataBricks.
• Strong understanding of Delta Lake architecture and working with Parquet, JSON, CSV, and similar formats.
• Experience establishing and enforcing data engineering best practices, including CI/CD for data, orchestration and automation, and metadata management.
• Comfortable working in an Agile environment.
• Machine Learning knowledge is a plus.
• Demonstrated ability to operate independently, take ownership of deliverables, and lead technical decisions.