Data Engineer

The Opportunity

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and data assets that support data-driven decision making across the organization. Working closely with cross-functional data teams, they integrate new data sources into existing data products while leveraging GCP technologies to manage and process large-scale datasets. The role focuses on developing reusable, configurable, and efficient data pipeline frameworks, as well as producing clean, modular, and well-documented code that enhances collaboration, reduces operational overhead, and accelerates future development.

What to Expect

• Data Ingestion and Processing: Design and implement robust data pipelines to collect, clean, transform, and store large volumes of data using GCP services like BigQuery and Cloud Storage, as well as DataBricks • Data Warehousing and Analytics: Build and optimize data warehouses on Google BigQuery for efficient data analysis and reporting. • Data Modeling: Design and implement scalable data models to support strategic data products, business intelligence, and machine learning applications. • ETL/ELT Development: Develop and maintain Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes using GCP tools. • Performance Optimization: Continuously monitor and optimize data pipelines and queries for performance and cost-effectiveness. • Collaboration: Work closely with data scientists, analysts, and other stakeholders…