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Mid LevelFull-timePythonGitData
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer II in Chicago to join our Developer Experience team at Adyen. This role focuses on building and maintaining high-quality data pipelines on our Big Data Platform, helping to evolve our data infrastructure and ensure reliable, scalable data flows that power confident decision-making.
Key Responsibilities
- →Collaborative Solution Development: Engage with stakeholders including data scientists, analysts, software engineers, product managers, and customers to understand requirements and craft effective solutions.
- →Quality Pipelines and Architecture: Design, develop, deploy and operate high-quality production ELT pipelines and data architectures, ensuring compatibility, consistency, and reliability.
- →Data Best Practices: Establish and share best practices in performance, code quality, data validation, data governance, and discoverability across teams.
- →High Quality Data and Code: Ensure data accuracy, completeness, reliability, relevance, and timeliness, implementing testing, monitoring, and validation protocols.
- →Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and systems, improving query performance and resource utilization to meet SLAs.
Requirements
- ✓3+ years of experience working as a Data Engineer or in a similar role.
- ✓Solid understanding of both Software and Data Engineering practices.
- ✓Proficiency in tools and languages such as Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git.
- ✓Ability to effectively communicate complex data-related concepts to diverse stakeholders.
- ✓Self-starter capable of identifying opportunities, devising solutions, and handling projects independently.
- ✓Experimental mindset with a ‘launch fast and iterate’ mentality.
- ✓Skilled in promoting a data-centric culture within technical teams and advocating for setting standards and continuous improvement.
