• Design, build, and maintain efficient and reliable ETL/ELT pipelines for data warehousing.
• Develop and improve our data infrastructure.
• Ensure data quality, integrity, and security across all data platforms.
• Optimize data systems for performance and scalability.
• Troubleshoot and resolve issues related to data pipelines and data infrastructure.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.

Minimum Qualifications

• A first degree in Computer Science, Statistics, Engineering, or a related quantitative field.
• 3+ years of professional experience as a Data Engineer or in a similar role focused on data infrastructure.
• Proficiency in Python.
• Solid experience with relational databases (SQL) and NoSQL databases.
• Experience with AWS and their data services.
• Proven experience in building and optimizing data pipelines and data architectures.

Preferred Qualifications

• Experience with Mongo/Snowflake/Redis/S3 General/S3 Express.
• Experience with big data technologies
• Experience with Airflow.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience working in a company focused on API services or search technology.
• Knowledge of data governance and data security best practices.