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Data Engineer
2 months ago
Requirements
- Proven experience as an Enterprise Data Engineer, ideally from a consulting background
- Strong track record in building, operating, and maintaining fault-tolerant and scalable data processing integrations using AWS
- 3+ years of hands-on experience with the Python programming language
- Expertise in software development using tools such as Apache Airflow, Apache Spark, MongoDB, and MySQL
- Ability to manage multiple projects effectively and meet deadlines
- Familiarity with Docker or Kubernetes is a plus
- Bachelor’s or Master’s degree in Computer Science or equivalent industry experience
- Skilled in troubleshooting and resolving issues in production-grade, large-scale data processing workflows
- Strong communication skills, particularly in a distributed team environment
- Experience in creating and maintaining unit tests and implementing continuous integration processes
- Passion for developing intelligent data pipelines that deliver value and satisfaction to customers
Special Considerations
- Experience or knowledge in Web Analytics or Digital Marketing
- Familiarity with Customer Data Platforms (CDP) or Data Management Platforms (DMP)
- Experience with Client Experience Cloud solutions