Data Analytics Expert
Há 7 dias
Company Overview:
Paddle offers a cutting-edge approach to payment infrastructure, simplifying the complexities of payments for SaaS companies. By acting as a Merchant of Record, we take away 100% of the pain associated with payment fragmentation, making it faster, safer, and cheaper.
About Us:
We're backed by reputable investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 3000 software sellers globally across 245 territories.
The Role:
This Senior Data Engineer position at Paddle requires delivering technical solutions to implement our data strategy. You will work closely with cross-functional teams to build secure data pipelines and transform data for effective analysis.
Job Description:
- Design and maintain efficient, secure data pipelines to ensure seamless data flow across the organization.
- Develop and maintain high-quality data models to enable self-service analytics, supporting consistent, accurate reporting, and data governance.
- Collaborate with cross-functional teams to understand data requirements and develop solutions that meet both immediate and long-term business needs.
- Provide operational data support to internal teams, ensuring they have reliable access to the data they need.
- Transform raw data into analytics-ready datasets using various techniques, including advanced aggregations and data wrangling methods.
- Evaluate data accuracy, completeness, and consistency by implementing quality checks and resolving issues proactively.
- Implement DevOps practices to deploy and maintain code in production environments.
Required Skills and Qualifications:
- Advanced SQL and data modeling skills, including experience with dbt and data warehousing solutions (e.g., Snowflake, BigQuery).
- Familiarity with database management systems such as SQL, NoSQL, and columnar databases.
- Experience working with orchestration frameworks like Airflow.
- Understanding of CI/CD pipelines in a data engineering context, applying version control, testing, and automation best practices.
- Experience with cloud-based platforms such as AWS, GCP, or Azure.
- Knowledge of data integration tools like Fivetran, Meltano, Airbyte, Stitch, or similar.
- Familiarity with BI tools like Looker, Tableau, Sisense, or comparable.
Benefits:
- $120,000 - $150,000 annual salary
- Attractive salaries
- Stock options
- Retirement plans
- Private healthcare
- Well-being initiatives
Why Join Us:
We offer an exceptional work environment where you can grow professionally and personally. Our culture values transparency, collaboration, and respect, making us a diverse team across the globe.
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