Join our dynamic Reverse Logistics team as a Data Engineer, playing a pivotal role in shaping the future of our data infrastructure. You will collaborate closely with software development teams to construct and maintain a highly scalable, reliable, and efficient data system, essential for supporting our rapidly growing business.

This role involves leveraging analytical tools and honing your expertise in writing sophisticated SQL scripts. A key aspect is optimizing SQL query performance and partnering with internal stakeholders to derive crucial business insights from complex datasets. We are seeking individuals who are not only self-driven and adaptable but also enthusiastic about contributing to a fun and collaborative work environment.

Own and develop the data infrastructure for the Reverse Logistics Team, ensuring its scalability, reliability, and efficiency.

Collaborate with software development teams to build and maintain robust data systems.

Utilize analytical tools to write advanced SQL scripts and optimize query performance for large-scale, complex datasets.

Partner with internal customers to address key business questions and provide actionable insights.

Design, develop, document, and support massively scalable, distributed data warehousing, querying, and reporting systems.

Possess a minimum of 2 years of dedicated experience in data engineering.

Demonstrate a strong background in data modeling, data warehousing, and building effective ETL pipelines.

Proficiency in at least one query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).

Familiarity with at least one scripting language, such as Python or KornShell.

Solid understanding of AWS infrastructure.

Proven ability to write and optimize SQL queries within a business context, handling large and intricate datasets.

Exhibit strong analytical and problem-solving skills, coupled with a curious, self-motivated, and proactive approach. Comfort in a fast-paced, dynamic setting is essential.