Unlock Your Potential as a Top Data Engineer
5 days ago
Overview
- Impress a top-performing Data Engineer to contribute to the success of our business.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines for structured and unstructured data.
- Collaborate with Data Scientists to develop innovative machine learning models using big data platforms like Redshift, Snowflake, or Databricks SQL.
- Develop expertise in cloud-based data warehousing, distributed frameworks like Apache Spark, and Delta Lake.
- Utilize Databricks platform for data engineering tasks and stay up-to-date on the latest features and best practices.
- Understand the entire machine learning lifecycle, from data mining to deployment.
- Stay current with popular machine learning libraries such as scikit-learn and xgboost.
- Implement REST APIs to extract data or perform specific functionalities.
- Develop Pythonic API development frameworks like Flask or FastAPI and use containerization frameworks like Docker or Kubernetes.
- Build and maintain reusable tools and libraries that benefit multiple teams.
- Apply software engineering principles in design and development.
- Integrate CI/CD tools, version control systems (e.g., Git), and orchestration platforms (e.g., Airflow).
- Foster excellent communication skills and work collaboratively with cross-functional teams across technology and business.
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