
Chief Data Pipeline Developer
3 days ago
Data Engineering Professional
We are seeking a highly skilled professional to lead the development and maintenance of robust data pipelines for structured and unstructured data.
Key Responsibilities:
- Hold a bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field with 3+ years of experience.
- Proven expertise in working with Python, SQL, PySpark, and bash scripts, along with a solid understanding of software development lifecycle and engineering practices.
- Develop and maintain scalable data pipelines using various tools and technologies.
- Experience working with Cloud Data Warehousing platforms and distributed frameworks like Spark.
- Familiarity with commonly used machine learning libraries and their application in model training and scoring.
- Proficiency in REST APIs and API development frameworks like Flask / FastAPI, as well as containerization frameworks like Docker / Kubernetes.
- Build and maintain tools and libraries that can be used across multiple teams.
- Apply software engineering principles in design and development processes.
- Utilize CI/CD tools, version control systems, and orchestration platforms effectively.
- Exhibit excellent communication skills and collaborate with cross-functional teams.
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