
Senior Data Engineer
2 days ago
Job Description
We are seeking a highly skilled data professional to fill a key role in our organization. The ideal candidate will have 3+ years of experience working with Python, SQL, PySpark and bash scripts, and will be proficient in software development lifecycle and software engineering practices.
- Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field is required.
- The successful candidate will have hands-on experience in developing and maintaining robust data pipelines for both structured and unstructured data to be used by data scientists to build machine learning models.
- Familiarity with cloud data warehousing platforms and experience working with distributed frameworks like Spark is essential.
- The ideal candidate will have solid understanding of machine learning life cycle, data mining, and ETL techniques.
- Familiarity with commonly used machine learning libraries (scikit-learn, xgboost) and REST APIs is necessary.
- Proficiency in containerization frameworks like Docker / Kubernetes is also required.
- Excellent communication skills and ability to work and collaborate with cross-functional teams across technology and business are essential.
This is an excellent opportunity for a skilled data engineer to join our team and contribute to the success of our organization. We offer a dynamic and collaborative work environment, opportunities for growth and development, and a competitive compensation package.
The ideal candidate will have a passion for data engineering, excellent problem-solving skills, and the ability to work effectively in a fast-paced environment.
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application.
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