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 sources Transforms the data into a usable and trusted resource Loads 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 validate data  Data analysis to identify root cause of issues  Understanding of dimensional data models and slowly changing dimensions/historic data capture  Use of AWS console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB, LakeFormation  Familiarity with Amazon Textract and Comprehend Understanding of both server-side and client-side encryption  Use of GitLab for source code management pipelines for CI/CD  Use of GitLab Tags for component versioning in shared repositories Understanding of Docker and containerization of solutions  IaC using Terraform  Experience of understanding how customer expectations transition to applied functionality  Familiarity with, and implementation of, DWP Engineering best practices Use of gitlab for release tagging and deployments Familiarity with basic data structures for constructing a solution