What you'll do:

• Design and implement data pipelines for extracting, transforming, and loading data from various sources to our data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and ensure data quality and integrity.
• Optimize and tune data pipelines for performance and scalability.
• Develop and maintain documentation related to data pipelines, data models, and data flows.
• Stay updated with the latest trends and technologies in data engineering and implement best practices.

What makes you a great fit:

• 2 to 4 years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with database technologies like Redshift, MySQL.
• Experience with data warehousing concepts and ETL processes.
• Hands-on experience with big data technologies like Athena and pySpark.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.