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Spark Architect

2 months 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 key member of our Global Data Technology (GDT) Team, you will be responsible for designing and implementing scalable data integration solutions using Spark and PySpark.

Key Responsibilities
  • Design and implement Enterprise-scale Cloud infrastructure and Cloud Services in one of the Clouds (GCP).
  • Drive Data Integration upgrade to PySpark.
Requirements
  • At least 12+ Years of IT Experience with Deep understanding of component understanding around Spark Data Integration (PySpark, scripting, variable setting etc.), Spark SQL, Spark Explain plans.
  • Spark SME – Be able to analyse Spark code failures through Spark Plans and make correcting recommendations.
  • Spark SME – Be able to review PySpark and Spark SQL jobs and make performance improvement recommendations.
  • Spark SME – Be able to understand Data Frames / Resilient Distributed Data Sets and understand any memory related problems and make corrective recommendations.
  • Monitoring – Spark jobs using wider tools such as Grafana to see whether there are Cluster level failures.
  • Cloudera (CDP) Spark and how the run time libraries are used by PySpark code.
  • Prophecy – High level understanding of Low-Code No-Code prophecy set up and its use to generate PySpark code.
Desirable Skills
  • Collaboration with multiple customer stakeholders.
  • Knowledge of working with Cloud Databases.
  • Excellent communication and solution presentation skills.