Data Engineer

December 3

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Logo of Wave HQ

Wave HQ

online accounting • small business • software development • SaaS • invoicing and payments

201 - 500 employees

Founded 2010

💸 Finance

💳 Fintech

☁️ SaaS

Description

• We believe small businesses are at the heart of our communities, and championing them is worth fighting for. • Reporting to the Senior Manager of AI & Data Platform, as a Data Engineer you will be building tools and infrastructure to support efforts of the Data Products and Insights & Innovation teams. • We’re looking for a talented, curious self-starter who is driven to solve complex problems. • This role is for someone with proven experience in complicated product environments.

Requirements

• Data Engineering Expertise: Bring 3+ years of experience in building data pipelines and managing a secure, modern data stack. • AWS Cloud Proficiency: At least 3 years of experience working with AWS cloud infrastructure. • Strong Coding Skills: Write and review high-quality, maintainable code. • Data Lake Development: Prior experience building data lakes on S3 using Apache Hudi. • Workflow Automation: Build and manage multi-stage workflows using serverless Lambdas and AWS Step Functions. • Data Governance Knowledge: Familiarity with data governance practices. • CI/CD Best Practices: Experience developing and deploying data pipeline solutions using CI/CD best practices. • Data Integration Tools: Working knowledge of tools such as Stitch and Segment CDP.

Benefits

• Fair compensation, all the office perks you’d want, and the various goodies you’d expect from a growing tech company. • We make a serious investment in your health & wellness. • You will also be supported on this journey with diverse learning experiences, educational allowances, mentorship, and so much more. • You will stretch yourself and you will grow at Wave.

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