
Data Pipeline Specialist
1 week ago
- Design and implement large-scale data pipelines using Python, SQL, PySpark.
- Collaborate with Data Scientists to develop Machine Learning models and ensure high-quality data.
- Work with distributed frameworks like Spark, Databricks, and cloud-based data warehousing platforms.
- Develop tools and libraries used across multiple teams within the organization.
This role requires a solid understanding of software development lifecycle principles and software engineering best practices. The ideal candidate will have excellent communication skills and be able to work collaboratively across technology and business teams.
Essential Qualifications:- Proficiency in Python, SQL, PySpark, bash scripts, and machine learning libraries such as scikit-learn and xgboost.
- Hands-on experience with CI/CD tools, version control, and orchestration.
- Strong understanding of data engineering principles and ability to design maintainable data pipelines.
If you are a detail-oriented individual with a passion for data engineering and strong technical skills, we encourage you to apply for this exciting opportunity.
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