Swap - Data Engineer
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Responsibilities
• Data Pipeline Engineering: Build, optimise, and maintain robust end-to-end data pipelines for key business functions. Focus on implementing low latency, strong observability, and effective alerting for both batch and stream processing to ensure data reliability. • Data Pipeline Engineering: • API Development: Contribute to the design and implementation of new features within the API layer, working with product teams to ensure efficient data access. • API Development: • Platform Contribution: Own specific data platform components, proactively contributing technical improvements for scalability, future readiness, and alignment with Swap's long-term product vision. • Platform Contribution: • Data Quality & Governance: Actively implement, apply, and champion data quality best practices to ensure the data is trustworthy and reliable. • Data Quality & Governance: • What we would like to see • 3+ years' experience working as a data engineer in a product-focused environment. • Strong Python experience working with data pipeline, orchestration, and API framework technologies. Ideally, but not limited to, Data Load Tool (dlt) and FastAPI. • Hands-on experience working in a Google Cloud Platform environment, specifically with core tools like BigQuery, Cloud Run, and Cloud Storage. • Solid understanding of data warehouse architectures and best practices. • Experience working with CI/CD technologies as part of a multi-developer team. • Ability to clearly communicate and articulate technical concepts and solutions to technical and non-technical colleagues. • Experience working with batch and stream data pipelines. • Experience with Shopify or e-commerce platforms/datasets is highly desirable.
Benefits
• Stock options in a high-growth startup. • Competitive PTO with public holidays additional. • Private Health. • Breakfast Mondays. • Diversity & Equal Opportunities • We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.
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