Analytics Engineer
August 4
Description
• Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats. • Design, implement, and optimize data models to support reporting and analytical needs. • Collaborate with data analysts and data scientists to understand business requirements and translate them into technical specifications. • Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques. • Work with cloud-based data warehouses and analytics platforms to manage and store large datasets. • Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data. • Document data processes, workflows, and best practices to enhance team knowledge and efficiency.
Requirements
• Master’s degree in Data Science, Statistics, Computer Science, or a related field. • 2+ years of experience in Data Science or Analytics. • Proficiency in SQL and experience with database management systems such as PostgreSQL. • Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt). • Experience with cloud-based data platforms like AWS Redshift. • Familiarity with programming languages such as Python. • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
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