Spark Architect

6 days ago

Leeds, Leeds, United Kingdom PRACYVA Full time
About the Role

We are seeking a highly skilled Spark Architect to join our team at PRACYVA. As a Spark Architect, you will be responsible for designing and implementing scalable and efficient data integration solutions using PySpark.

Key Responsibilities
  • Design and implement data integration pipelines using PySpark
  • Develop and maintain large-scale data processing applications using PySpark
  • Collaborate with cross-functional teams to identify and prioritize data integration requirements
  • Develop and maintain technical documentation and knowledge base
  • Stay up-to-date with the latest developments in PySpark and related technologies
Requirements
  • At least 12+ years of experience in IT with a deep understanding of Spark Data Integration (PySpark, scripting, variable setting etc.), Spark SQL, and Spark Explain plans
  • Experience with Cloud infrastructure and Cloud Services in one of the Clouds (GCP)
  • Strong understanding of Data Frames / Resilient Distributed Data Sets and ability to troubleshoot memory-related problems
  • Experience with monitoring Spark jobs using tools such as Grafana
  • Strong understanding of Cloudera (CDP) Spark and runtime libraries used by PySpark code
  • High-level understanding of Low-Code No-Code prophecy setup and its use to generate PySpark code
Preferred Qualifications
  • Experience with collaboration with multiple customer stakeholders
  • Knowledge of working with Cloud Databases
  • Excellent communication and solution presentation skills
About PRACYVA

PRACYVA is a leading provider of data integration solutions. We are committed to delivering high-quality solutions that meet the needs of our clients. We are seeking a talented Spark Architect to join our team and contribute to our mission.

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