Big Data Systems Developer
vor 2 Wochen
Overview: Thrive IT Systems is seeking an experienced big data professional to join our team. As a mid-senior level Data Science Engineer, you will play a key role in designing and developing scalable data systems for our clients.
Key Responsibilities:
- Design and develop big data systems involving Hadoop, PySpark, and Hive.
- Built complex data pipelines using Spark, with a focus on performance and efficiency.
- Tune Spark applications for optimal performance and minimize latency.
- Leverage tools like Airflow and Databricks to schedule and run Spark applications.
- Develop functional and technical architectures for big data platforms.
- Work closely with administrators, architects, and developers to drive business outcomes.
Requirements:
- Extensive experience in big data technology.
- Strong expertise in Python and PySpark programming languages.
- Experience in building complex data pipelines using Spark.
- Proficient in performance tuning Spark applications.
- Familiarity with fundamental Hadoop tools and technologies.
Benefits:
- Ongoing training and professional development opportunities.
- A collaborative and dynamic work environment.
- The opportunity to work with cutting-edge technology and innovative projects.
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