Data Engineer

Apeldoorn, Netherlands | 17 July 2024

• *Job Description: Data Engineer**
• *Position Overview:**

We are seeking a talented and motivated Data Engineer to join our dynamic team. The ideal candidate will have a strong foundation in data engineering concepts, tools, and technologies. You will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient data pipelines, and contributing to the overall success of our data-driven initiatives.

• *Responsibilities:**
• Collaborate with cross-functional teams to understand data requirements and design optimal data pipelines.
• Develop, test, and maintain scalable data pipelines, ETL processes, and data integration workflows.
• Implement data quality and validation processes to ensure accuracy and reliability of data.
• Optimize database systems for performance, scalability, and efficiency.
• Monitor and troubleshoot data pipeline issues, resolving them in a timely manner.
• Stay updated with industry trends and emerging technologies in data engineering.
• Contribute to the design and architecture of our data warehouse and data lake.
• Ensure data security and compliance with relevant data protection regulations.
• Create and maintain documentation for data processes, pipelines, and systems.
• Provide technical guidance and mentorship to junior team members.
• *Qualifications:**
• Bachelor s degree in Computer Science, Engineering, or a related field. Master s degree is a plus.
• Proven experience as a Data Engineer or in a similar role.
• Strong programming skills in languages like Python, Java, or Scala.
• Proficiency in SQL and database systems (e.g., PostgreSQL, MySQL, NoSQL databases).
• Hands-on experience with data warehousing solutions (e.g., Redshift, Snowflake) and data lake technologies (e.g., Hadoop, Spark).
• Familiarity with ETL tools and frameworks (e.g., Apache NiFi, Apache Airflow).
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of data modeling, data architecture, and data governance principles.
• Excellent problem-solving skills and the ability to troubleshoot complex data issues.
• Strong communication skills and the ability to work collaboratively in a team environment.

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