Candidates should possess significant experience designing and maintaining ETLs that process large-scale datasets, proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT, strong problem-solving skills, and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.
Candidates should possess a Bachelor's degree in Computer Science or equivalent experience, along with 2+ years of experience in data and backend engineering, and demonstrated experience in shipping high-quality code. A solid understanding of API development principles and good API design, with a focus on data efficiency, is also required.
Candidates should possess at least 6 years of field sales experience, with a preference for supply chain and retail/grocery related technology, and 3+ years of experience focused on generating new business within enterprise accounts (Fortune 100 Companies). They should have a history of understanding customer pain points, strategic initiatives, and mapping solutions to meet those needs, as well as experience in executive-level relationship management.
The ideal candidate should possess a Bachelor's degree in Computer Science or equivalent experience, along with 2+ years of experience with full-stack web development, including some web front-end and API development. Strong problem-solving skills and a collaborative attitude are required, alongside familiarity with TypeScript (or Javascript), React, and Python.
Candidates should possess a Bachelor's degree in Computer Science or a related technical field and have at least 4 years of professional software development experience with a proven track record of shipping high-quality applications and services. Strong expertise in library design, API design, data structures, and algorithms is required, along with familiarity with Python.