Job DescriptionJob DescriptionDescription:
- Design and maintain robust ETL/ELT pipelines across Amazon, NetSuite, PostgreSQL, and more
- Automate workflows using AWS Glue, Airflow, or similar orchestration tools
- Model scalable data warehouse schemas optimized for Power BI
- Ensure data quality through validation, alerting, and anomaly detection
- Develop integrations with external APIs (Amazon SP-API, NetSuite, etc.)
- Collaborate with BI to prepare clean datasets and performance-optimized views
- Implement data backup and governance policies
- Mentor team members and recommend improvements to the data stack
- Partner with stakeholders to refine data requirements and troubleshoot issues
Requirements:
- Bachelor’s in Computer Science or equivalent experience
- 5+ years of data engineering or BI engineering experience
- Hands-on experience with AWS Glue and PySpark/Python
- Proficiency in SQL and Python for data workflows
- Experience with PostgreSQL, Redshift, or Snowflake
- Knowledge of NetSuite APIs and Amazon Seller Central data
- Strong understanding of data modeling and warehouse design
- Experience structuring data for Power BI and writing DAX queries
- Familiarity with orchestration tools (Airflow, Step Functions, etc.)
- Excellent remote communication and problem-solving skills