
Unlocking Business Potential through Strategic Data Engineering
1 semana atrás
Fusemachines is a leading AI strategy, talent, and education services provider with a mission to democratize AI.
This role requires a strong foundation in programming and a keen understanding of how to integrate and manage data effectively across various storage systems and technologies.
The ideal candidate will have experience in designing and implementing data warehouses, developing efficient ELT/ETL processes, and working with scalable and distributed data technologies such as Spark/PySpark, DBT, and Kafka.
Responsibilities- Design and Develop Data Architectures
- Maintain Data System Performance and Quality
- Lead Junior/Mid-Level Data Engineers
- Collaborate with Cross-Functional Teams
- Evaluate and Implement New Technologies
Key Qualifications:
- 5+ years of real-world data engineering development experience in AWS and GCP.
- Strong expertise in Python, SQL, PySpark, and AWS in an Agile environment.
- Senior person who can understand requirements and design end-to-end solutions with minimal oversight.
- Strong programming skills in one or more languages such as Python, Scala, and proficient in writing efficient and optimized code for data integration, storage, processing, and manipulation.
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