Senior Data Engineer | Data Harmonization & BigQuery
Summary
Senior Data Engineer builds scalable BigQuery pipelines and data models to harmonize financial and operational data for a global e-commerce platform, using Airflow, SQL ELT, and data governance tools.
- Join an international project for a global e-commerce and marketplace platform operating across multiple markets, including North America and other international regions.
- The project focuses on harmonizing and standardizing financial and operational data coming from different regional systems and data models. The goal is to build a consistent, scalable, and high-quality data environment that will improve reporting, financial processes, and migration from legacy systems.
- 💼 Project Details
- Work model: 100% remote
- Workload: Full-time
- Equipment: Own equipment
- Start date: ASAP
- Recruitment process: 2 technical interviews
- 🎯 Project Scope
- As a Senior Data Engineer, you will be responsible for developing scalable data pipelines, data modeling and transformation in BigQuery, integrating data from multiple sources, and ensuring data quality and consistency.
- A key part of the project will also involve process optimization, data migration from legacy systems, reconciliation, data lineage, and ensuring reliable and auditable data processing workflows.
- Cloud & DWH: Google BigQuery, GCP
- Orchestration: Apache Airflow (Cloud Composer)
- Databases: BigQuery, AlloyDB / PostgreSQL, Teradata (legacy)
- Data Integration: SQL-based ELT, SFTP, APIs (NetSuite, PSPs)
- Governance: OpenMetadata (lineage, catalog), IAM/RBAC
- CI/CD & DevOps: GitHub, Jenkins, Flyway, Terraform
- Data Quality: Metadata-driven DQ framework (BigQuery + Airflow)