Data Engineer (Remote, Global)

Job summary

The role involves developing and maintaining data pipelines and architectures to support data-driven decision-making processes. The Data Engineer will work closely with data scientists and analysts to ensure data availability and quality for various projects.

Qualifications

• Proven experience in data engineering or a related field.
• Strong understanding of data modeling, ETL processes, and data warehousing.
• Experience with cloud platforms and big data technologies.

Responsibilities

• Design, construct, and maintain scalable data pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions.
• Ensure data integrity and quality through rigorous testing and validation.
• Optimize data storage and retrieval processes for performance and efficiency.

Skills

• Proficiency in SQL and programming languages such as Python or Java.
• Familiarity with data visualization tools and techniques.
• Knowledge of machine learning concepts is a plus.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field.

Tools

• Experience with data processing frameworks like Apache Spark or Hadoop.
• Familiarity with cloud services such as AWS, Azure, or Google Cloud Platform.