Senior Data Engineer overseeing Data Warehouse and Data Architecture at a leading fintech client. Driving scalability and supporting data needs across multiple markets.
Responsibilities
Lead the design, development, and maintenance of the **data warehouse** and **data architecture**, ensuring scalability and efficiency
Build, optimize, and maintain data pipelines and **ETL/ELT processes** for analytical and operational needs
Develop and manage data integrations across internal and external systems
Ensure high **data quality** and strong **data governance** through validation and monitoring best practices
Collaborate closely with analysts, data scientists, and business stakeholders to deliver reliable, accessible data
Use **Google Cloud Platform **(GCP), **BigQuery**, **dbt, **and **Apache Superset** to build and enhance data infrastructure
Requirements
3+ years of experience as a Data Engineer
Strong hands-on experience with **GCP** and **BigQuery**
Experience using dbt for data transformation and modeling
Proficiency in **Python** and **SQL**
Practical experience building and optimizing **ETL/ELT** pipelines
Familiarity with **Apache Superset** or other **data visualization tools**
Experience with modern development tools **(Git, Jira, Docker**, etc.)
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