Data Engineer
Core
Design, build, and maintain data pipelines and integrations to unify data from third-party platforms (Google Analytics, Meta, ERP) for global reporting and decision-making.
Role type
Data Engineer
Builds
Data pipelines, integrations, data models, and reporting workflows
Domain
Retail / Home Decor / Manufacturing
Required skills
SQL, ETL/ELT tools (SSIS, Talend, dbt), Python, Cloud platforms (Azure, AWS, GCP), Data modeling, Data quality management
Preferred skills
NetSuite ERP, BigQuery, Google Analytics, Meta Ads APIs, Databricks, Power BI, Retail domain knowledge
Technologies
NetSuite, SSIS, Talend, dbt, Python, Azure, AWS, GCP, BigQuery, Databricks, Power BI
Responsibilities
Develop and optimize ETL/ELT pipelines; Integrate external data sources with ERP and business systems; Automate data processing and reporting workflows; Cleanse, transform, and reconcile data; Build and document data models and schemas; Implement monitoring and testing frameworks; Manage data costs and appraise ROI.
Seniority
Mid-Senior, hands-on IC
