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- Strong hands-on experience with Python, SQL, and PySpark.
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- Strong understanding ofunit testing, test automation, debugging, and code quality best practices.
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- Good understanding of data engineering fundamentals and advanced concepts.
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- Experience building scalable and fault-tolerant data pipelines.
N
- Solid knowledge of CI/CD, automated testing, and production deployments.
N
- Understanding of Medallion Architecture, data modeling, data quality, and governance.
N
- Awareness of cloud infrastructure, security, Infrastructure as Code, and monitoring.
N
- Strong problem-solving,communication, and collaboration skills.
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- Ability to understand and confidently explain code, design decisions, and project architecture.
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- Collaborate through code reviews, peer reviews, pair programming, knowledge sharing, and Agile best practices.
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