
Expert in Data Pipeline Development
1 week ago
We are seeking a highly skilled Data Engineer with a strong background in computer science and experience working with data pipelines, cloud data warehousing platforms, and distributed frameworks.
Key Responsibilities:- Design and Develop Robust Data Pipelines
- Maintain existing data pipelines and ensure they meet the required performance standards.
- Work closely with data scientists to build machine learning models by providing them with well-maintained and scalable data pipelines.
- Develop and maintain tools and libraries used by multiple teams across the organization.
- Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field.
- 3+ years of experience in working with Python, SQL, PySpark, and bash scripts.
- Experience in developing and maintaining robust data pipelines for both structured and unstructured data.
- 2+ years of hands-on experience in using Databricks platform for data engineering.
- Detailed knowledge of Delta Lake, Databricks Workflow, Job Clusters, Databricks CLI, Databricks Workspace, etc.
- Solid understanding of machine learning life cycle, data mining, and ETL techniques.
- Familiarity with commonly used machine learning libraries (like scikit-learn, xgboost) in terms of exposure and handling of code base which makes use of these libraries for model training & scoring.
- Proficiency in understanding of REST APIs and experience in using different types of APIs to either extract data or perform a functionality exposed by APIs.
- Hands-on experience in building and maintaining tools and libraries which have been used by multiple teams across organization.
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