Data Engineer

• Develop and maintain data pipelines which will move from one system to another (MS SQL, Snowflake, email archives) to ensure data quality and integrity
• Write efficient Python scripts to automate data processing, data cleaning, and data visualization tasks
• Analyze large datasets to identify trends, opportunities, and challenges in retail operations
• Optimize data processes and SQL queries to overcome challenges with massive datasets (billions of rows)
• Utilize Large Language models (LLMs) via APIs to build text classifiers, extract information from email conversations, and perform other natural language processing tasks
• Collaborate with data scientists to develop predictive models and identify opportunities for model improvement
• Effectively communicate complex data insights and recommendations to non-technical stakeholders

The Must-Haves - 

• Associate degree (or higher) in Computer Science, Mathematics, Statistics, Physics or a related field
• 2+ years of experience as a Data Analyst, Data Engineer, or similar role
• Strong SQL skills, with experience in querying and manipulating large datasets
• Proficiency in Python, with experience in data analysis and automation
• Experience in Airflow or similar open-source workflow orchestrator
• Experience in Airbyte or similar open-source integration tool
• Knowledge of machine learning algorithms and experience with implementing them in a production environment
• Ability to work in a fast-paced environment and meet deadlines
• Strong analytical, problem-solving, and communication skills

The Nice-to-Haves

• Experience in Snowflake
• Experience working with retail data sets like PO, Invoice, and Sales at supplier and item level
• Experience with containerization using Docker and orchestration using Kubernetes
• Certification in data analysis or a related field