Lead Data Engineer / Sr. Data Engineer (ML & Data Science)
Location: Remote USA
Job Type: Engineering
IQ Workforce is a leading recruiting firm for the engineering, analytics, and data science communities.
Our client is a global restaurant company, which engages in the development and operation of some of the most recognizable brands in the world. They have over 30,000 employees and operate over 50,000 restaurants in 150+ nations and territories.
They are currently looking to grow their new center of excellence (COE) for engineering and data science. They are making this investment to help optimize their digital channels and technology innovations, with the end goal of creating competitive advantages for their restaurants around the globe.
One of the immediate needs is a pair of Sr. Data Engineers who love working with modern data integration frameworks, big data and cloud technologies. Candidates must also be proficient with data programming languages (e.g., Python and SQL). These individuals will build a variety of data pipelines to support their decision sciences platform from both the analytical capabilities and our data science & machine learning products.
Lead, design, and develop scalable data integration frameworks
Apply coding expertise, best practices and guidance in Python, SQL, and cloud data platform development to members of the team
Collaborate with data scientists to harden, scale, and parameterize code to be scalable across brands and regions
Communicate technical concepts, innovations, and hurdles up to management as well as out to stakeholders in a clear, concise manner
5+ yrs of experience in data engineering
High level of proficiency with Python and its data related libraries (PySpark, Pandas, etc.)
High level of proficiency with SQL
Cloud development experience; AWS is preferred, but Azure and/or GCP are acceptable
Experience building serverless frameworks
Experience with ETL tools (Informatica, Talend, DataStage) preferred, but not required
Excellent written & verbal communication skills