SC Cleared Python Developer
What is Citizen Event Analytics? Citizen Event Analytics (CEA) is a cross-benefit, cross-channel event history compiled from citizens'' interaction, (telephony, face to face and digital), claim processing and support events. CEA uses a pipeline that: Extracts event data from different sourcesTransforms the data into a usable and trusted resourceLoads that data into the data asset that is accessible to Data users through the Uplifted Analytical Service (UAS). Support DWP in the maintenance of the longitudinal event history data asset and associated data pipelines that forms Citizen Event Analytics. As directed by DWP, activities may include: The resources will be expected to support: plan and lead development on sets of related stories have an understanding of the whole CEA system and take responsibility for teaching this to others(specific technical skills listed below in the ''Technical skill requirements'' section work with other users, Product Owner and Business Analyst to understand what needs to be built coach and mentor more junior colleagues operate the ingest and publishing production pipelines/services, that are build and find ways to improve system robustness, resilience and stability Key skills required:Understanding of data processing using Apache Spark Use of Python, SQL, and familiarity with PySpark Experience using Apache Airflow for task orchestration Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and ..... full job details .....
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