Data Engineer II, Banking
Adyen
Job Description
About the Role
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Data Engineer Adyen is looking for a Data Engineer II to join the Bank Reporting team in Chicago. Merchants use the products built by the Reporting teams to understand their usage of the Adyen platform in detail and perform financial reconciliation. This is a key workflow for our merchants' continued use of our financial products. As a result, this role requires a solid understanding of both the business context and its data needs, with a focus on building high-quality data pipelines on our Big Data Platform. As a Data Engineer at Adyen, you will be instrumental in maintaining our data infrastructure and ensuring smooth data flows across systems, as well as understanding how the Adyen platform works at a deep level and translating that complexity into simplicity for our merchants.
Key Responsibilities
- Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions.
- Design, develop, deploy and operate high-quality production ELT pipelines and data architectures.
- Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability.
- Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability in your team and in other teams.
- Participate in mentoring and knowledge sharing initiatives.
- Ensure data is accurate, complete, reliable, relevant, and timely.
- Implement testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest.
- Identify and resolve performance bottlenecks in data pipelines and systems.
- Improve query performance and resource utilization to meet SLAs and performance requirements, using technologies Spark optimizations.
Requirements
- Around 3 years of experience working as a Data Engineer or in a similar role.
- Proficient in tools and frameworks such as Python, PySpark, Airflow, Hadoop, Spark, Kafka, Druid, SQL or similar data tools.
- Able to effectively communicate complex data-related concepts and outcomes to a diverse range of stakeholders.
- Capable of identifying opportunities, devising solutions, and handling projects independently.
- Have an 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.
Nice to Have
- Experience with performance optimization in data systems.
- Knowledge of data governance and data validation best practices.
- Experience working in financial or banking data environments.
Qualifications
- Formal educational background is not explicitly specified.
Benefits & Perks
- Not specified in the description.
Working at Adyen
At Adyen, we foster an environment with opportunities for success, supported by a culture that encourages ownership of careers, innovation, and ethical solutions. We value diversity, inclusion, and the unique perspectives each individual brings, emphasizing a collaborative and supportive work environment.
Job Details
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About Adyen
Website
adyen.com
Company Size
1001-5000 employees
Location
Chicago, IL
Industry
Financial Transactions Processing, Reserve, and Clearinghouse Activities
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