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Paddle is a leading SaaS company that offers a unique approach to payment infrastructure. We are committed to removing invisible barriers, both for our customers and within our own teams.
As a Senior Data Engineer at Paddle, you will be responsible for delivering technical solutions to implement our data strategy. You'll work closely with cross-functional teams to build secure data pipelines and transform data for effective analysis.
We're looking for an analytics-focused data engineer with a passion for building quality, robust data models that optimize processes and enable decision-making across the company.
Key responsibilities include:
- Building and maintaining efficient, secure data pipelines to ensure smooth data flow across the organization.
- Developing and maintaining data models to enable self-service analytics, supporting consistent, accurate reporting and data governance.
- Collaborating with cross-functional teams to understand data requirements and develop solutions that meet both immediate and long-term business needs.
You'll have the opportunity to work with various techniques, including advanced aggregations and data wrangling methods, to transform raw data into analytics-ready, well-documented, and highly maintainable datasets.
We'd love to hear from you if you have:
- Advanced SQL and data modeling skills, including experience with dbt and data warehousing solutions (e.g., Snowflake, BigQuery).
- Good knowledge of database management systems such as SQL, NoSQL, and columnar databases.
- Experience working with orchestration frameworks, like Airflow.
We offer a full suite of benefits, including attractive salaries, stock options, retirement plans, private healthcare and well-being initiatives. Our culture is transparent, collaborative and respectful, and we pride ourselves on being a diverse, growing group of professionals.
