Data Engineer (Python / Databricks) Contractor

We are seeking an experienced and self-motivated Data Engineer to join our data team on a contract basis. This is a fantastic opportunity for a skilled engineer to make a significant impact on our core business operations, with the potential for future projects based on performance.

Project Objective 🎯

The primary goal is to enhance and optimize a critical data pipeline that connects our data warehouse in Google BigQuery with our operational hub in Airtable. This pipeline is essential for automating the creation of Purchase Orders in NetSuite and tracking their status, and your work will directly improve the efficiency and reliability of this process.

Responsibilities

• Design, develop, and deploy robust enhancements to the existing Python-based batch ETL scripts.
• Utilize Databricks to build, orchestrate, and schedule the data integration workflows.
• Work extensively with the APIs of BigQuery and Airtable to ensure seamless and efficient data transfer.
• Implement comprehensive error handling, logging, and monitoring to ensure pipeline reliability.
• Collaborate with our data team to understand business requirements and translate them into technical solutions.
• Provide clear documentation for the updated pipeline and workflows.

Requirements

Benefits

Company Description

Huckberry is the ultimate one-stop men's shop for discovering the best gear and threads. Over a million guys trust us as their go-to resource for their closet, adventure inspiration, and a whole lot more. We were named one of IAB's most disruptive consumer brands, and we've collaborated with everyone from Matthew McConaughey and Leon Bridges to brands like Lululemon, Tacoma, and Coors. We look forward to meeting you.

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Huckberry encourages candidates of all different backgrounds and identities to apply. We are always eager to further diversify our company, and we are committed to providing an inclusive environment of mutual respect where all can flourish. All of our employment decisions are based solely on merit and business need.