Live opening · Posted 27 days ago
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Description supplied by the original job listing.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Over 5 years of software development experience, with at least 2 years in a technical leadership role overseeing data engineering or data platform teams.
Strong proficiency in big data technologies, including Apache Spark/PySpark, Apache Airflow, and Apache Kafka.
Experience with programming languages such as Scala and Python for developing robust data pipelines.
In-depth knowledge of both relational and non-relational databases, with the ability to design and optimize complex queries.
Hands-on experience with data visualization tools and techniques to present data insights effectively.
Proficiency in developing and maintaining CI/CD pipelines using tools like Jenkins and GitHub Actions.
Strong experience in writing and maintaining unit, integration, and end-to-end tests to ensure data pipeline reliability and accuracy.
Excellent problem-solving abilities with a keen attention to detail, capable of diagnosing and resolving complex technical issues.
Strong communication skills, with the ability to convey complex technical concepts to diverse audiences.
Proven ability to collaborate cross-functionally with product managers, data scientists, and other engineering teams to deliver cohesive data solutions.
Familiarity with data governance and security practices to ensure compliance and data integrity.
Experience
3-7 yrs
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