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Cloud Data Engineer
3 weeks ago
At Refleks, we believe that great data enables great AI. We're looking for a talented Data Engineer to join our team and help us build next-generation data ecosystems.
This is a unique opportunity to work at the intersection of data, cloud technologies, and AI-driven analytics. As a Data Engineer at Refleks, you will be responsible for designing, building, and optimizing data pipelines and data models.
You will have the chance to work with cutting-edge technologies such as Python, AWS/Azure, and cloud-native data processing tools. Additionally, you will collaborate with AI/ML engineers and data scientists to integrate data solutions and advise clients on data architecture, governance, and cloud strategies.
Your Responsibilities:
- Design and develop scalable ETL and data processing workflows.
- Work with data warehousing and analytics to enable AI/ML-ready data.
- Implement DataOps and MLOps best practices for seamless data operations.
- Collaborate with cross-functional teams to integrate data solutions.
- Advise clients on data architecture, governance, and cloud strategies.
What You'll Need:
- Strong technical and architectural thinking.
- Excellent communication & presentation skills.
- Proficiency in Python and cloud-native data processing tools.
- Experience with DataOps, MLOps, ETL, and data modeling.
- Understanding of data governance, lineage, and FAIR data principles.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
