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Amsterdam
1 day ago
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Data Engineer

Adyen

Amsterdam
1 day ago
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Data Engineer

Adyen is seeking a Data Engineer II to join their Amsterdam office, focusing on building high-quality data pipelines on their Big Data Platform. The role requires 3+ years of experience, proficiency in Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git, and involves collaborating with stakeholders, ensuring data quality, and optimizing performance.

On-siteFull-timeMid LevelPythonPySpark

Data Engineer

Adyen is seeking a Data Engineer II to join their Amsterdam office, focusing on building high-quality data pipelines on their Big Data Platform. The role requires 3+ years of experience, proficiency in Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git, and involves collaborating with stakeholders, ensuring data quality, and optimizing performance.

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On-siteFull-timeMid LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Experience Required

3 years

Employment Type

Full-time

Experience Level

Data Engineer II

Core Qualifications

Technical (Must-have)
PythonPySparkApache AirflowApache HadoopApache SparkApache KafkaSQLGitPytestData EngineeringSoftware EngineeringData GovernanceData ValidationPerformance OptimizationELT
Soft Skills
CommunicationSelf-starterInnovationMentoringCollaboration

Key Responsibilities

  • •Engage with stakeholders to understand 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.
  • •Establish and share best practices in performance, code quality, data validation, data governance, and discoverability.
  • •Participate in mentoring and knowledge sharing initiatives.
  • •Ensure data is accurate, complete, reliable, relevant, and timely.
  • •Implement testing, monitoring and validation protocols for 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.
Data EngineerFinancial ServicesBig DataPythonPySparkApache AirflowApache SparkApache KafkaSQLAmsterdam
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