Job Description:
- Assemble and collect data sets that meet functional and non-functional business requirements
- Identify, design & implement internal process improvements, automate manual processes, and optimize data delivery, and infrastructure for greater scalability.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of sources using SQL, APIs, and cloud services technologies.
- Build tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
- Build tools for analytics and data team members that assist in building and optimizing the product into an innovative leader
- Work with data and analytics experts to strive for greater functionality in our data lake and warehouse systems
- Work with cross-functional departments to understand their data needs and requirements and build tools to assist them with their analytics tools
Qualifications:
- Bachelor in Computer Science, Engineering, or relevant field; Graduate degree in Data Science or other quantitative field is preferred
- 1-3 years experience as a Data Engineer
- Hands-on experience working with SQL-based technologies
- Knowledge of Python programming
- Database System Design
- Experience with GCP services
- Analytics tools (Google Analytics/Tableau)
- Basic Knowledge of Machine Learning
- Understand Python framework (Pandas, scikit-learn, psycopg2 libraries)