Cloud Data Engineer
2 days ago
About Refleks:
We specialize in delivering AI and ML-ready data solutions that transform businesses. Our team of experts bridges the gap between data generation and real-world analytics, accelerating the journey from raw data to actionable insights.
Our Approach:
We work closely with clients to understand their data challenges and develop tailored solutions that meet their needs. Our experienced team designs, builds, and optimizes data pipelines and data models, ensuring seamless data operations and maximum business value.
Key Responsibilities:
- Design and implement data architectures that enable AI/ML-ready data.
- Develop scalable ETL and data processing workflows using Python and cloud-native tools.
- Collaborate with cross-functional teams to integrate data solutions and drive business outcomes.
- Stay up-to-date with industry trends and emerging technologies to ensure our solutions remain cutting-edge.
Requirements & Skills:
- Proven experience in data engineering with a focus on AI and ML-ready data.
- Strong understanding of data governance, lineage, and FAIR data principles.
- Hands-on experience with Dbt, Apache Spark, Databricks or other modern data engineering tools.
- Excellent communication and collaboration skills.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
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