Design, develop, and maintain robust DBT data pipelines and data models to support buyer
Build resilient and auto-recoverable data pipelines for data transformations subject to strict
Optimize data pipelines and debug analytical use cases and data quality issues
Develop data models following best practices and industry standards
Functionally understand ecommerce business processes especially in the areas of customer
Collaborate with stakeholders to translate business OKRs into technical solutions

🎯 Requirements

6+ years of experience in implementing enterprise data solutions
3+ years of experience using ETL/data pipeline and orchestration tools (dbt, Airflow, Airbyte
2+ years of hands-on experience in data modeling, optimization and database architecture
Extensive experience in writing, debugging, and tuning SQL queries
Strong programming experience in Python or Java
Good understanding of AWS data services (DynamoDB, RDS, Data Pipeline, EMR, Lambda, Glue, ECS

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