Data Engineer (SQL, Python, dbt)

Data Engineer

Job Type: 6 Months, Contract-to-Hire

Location: Remote

Data Engineer

Required:

• 5+ years' experience in data engineering with strong Python/PySpark skills.
• Expertise in SQL, data modeling, and cloud platforms (AWS or GCP preferred).
• Develop and Maintain DBT Models, build modular, tested, and well-documented DBT models to transform raw data into analytics-ready datasets.
• Optimize SQL Transformations write efficient SQL logic within DBT models to improve performance and maintainability across large datasets.
• Excellent communication skills to bridge technical and business needs.

Key Responsibilities:

• Design, build, and maintain scalable ETL pipelines for high-volume eCommerce data.
• Implement efficient data warehousing solutions (Redshift, BigQuery, Snowflake).
• Develop robust data models and ensure data quality through validation processes.
• Optimize pipeline performance and troubleshoot issues in cloud environments (AWS/GCP).
• Collaborate with analytics teams to deliver reliable datasets for business intelligence.

Why Apply?

• Work with cutting-edge data technologies in a high-growth environment.
• Remote-first culture with flexible work arrangements.
• Opportunity to build solutions powering data-driven decisions for global brands.
• Collaborative team that values innovation and professional growth.

Join us to shape the future of eCommerce analytics!