Description

You will build and maintain the data infrastructure required for predictive modeling and business intelligence.

This role is on-site.

Responsibilities

• Develop tools to bridge disparate data sources for models, dashboards, and business analysis.
• Collaborate with data scientists to engineer predictive features from product intelligence databases.
• Prototype, implement, and optimize data pipelines and architectures to transform data into insights.
• Build automated daily, weekly, and monthly processes to ensure reliable data delivery.
• Assess analytics risks based on data quality and develop QA procedures to mitigate them.

Required Skills

• 5+ years of experience in data engineering, specifically designing and maintaining data warehouses.
• Strong proficiency in Python and SQL within a data context, including pandas, scikit-learn, and iterators.
• Experience with Big Data technologies and Google BigQuery.
• Background in STEM with a focus on analytical thinking and quantitative methods.
• Proven ability to design and maintain scalable data architectures.
• Experience tailoring syndicated data to retail and CPG business needs.

Preferred Skills

• Familiarity with Docker and Google Cloud infrastructure.

Key Skills

Education

Any Graduate