remote
Data Engineer - Cloudious LLC
Data Engineer
Data Engineer responsible for building and maintaining scalable data pipelines, cleaning and transforming data, and enabling analytics across the organization using Python, SQL, ETL tools, and AWS services.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest, clean, and transform data from diverse sources.
- Build and optimize data warehouses and data marts on AWS to support analytics and reporting.
- Collaborate with data scientists and analysts to understand data requirements and deliver high‑quality datasets.
- Implement data quality checks, monitoring, and alerting to ensure data integrity.
- Document data models, pipeline logic, and best practices for future reference.
Requirements
- Proficiency in Python and SQL for data manipulation and automation.
- Experience with ETL tools and frameworks (e.g., Airflow, dbt, or similar).
- Hands‑on knowledge of AWS services such as S3, Redshift, Glue, and Lambda.
- Strong understanding of data warehousing concepts and dimensional modeling.
- Excellent problem‑solving skills and ability to work independently in a remote environment.