Google Cloud Platform Data Engineer

As a Principal GCP Data Engineer youll be a true subject matter expert in using the data processing and management capabilities of Google Cloud to develop data-driven solutions for our clients.You will typically lead a team or the solution delivery effort demonstrating technical excellence through leading by example. You could be providing technical support leading an engineering team or working across multiple teams as a subject matter expert who is critical to the success of a large programme of work.Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line with modern best practices. As part of your responsibilities you will be expected to:Develop robust data processing jobs using tools such as Google Cloud Dataflow Dataproc and BigQueryDesign and deliver automated data pipelines that use orchestration tools such as Cloud ComposerDesign end-to-end solutions and contribute to architecture discussions beyond data processingOwn the development process for your team building strong principles and putting robust methods and patterns in place across architecture scope code quality and deployments.Shape team behaviour for writing specifications and acceptance criteria estimating stories sprint planning and documentation.Actively define and evolve PAs data engineering standards and practices ensuring we maintain a shared modern and robust approach.Lead and influence technical discussions with client stakeholders to achieve the collective buy-in required to be successfulCoach and mentor team members regardless of seniority and work with them to build their expertise and understanding.Qualifications : To be successful in this role you will need to have:Experience delivering and deploying production-ready data processing solutions using BigQuery Pub/Sub Dataflow and DataprocExperience developing end-to-end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam.Expert understanding of when to use a range of data storage technologies including relational/non-relational document row-based/columnar data stores data warehousing and data lakes.Expert understanding of data pipeline patterns and approaches such as event-driven architectures ETL/ELT stream processing and data visualisation.Experience working with business owners to translate business requirements into technical specifications and solution designs  that satisfies the data requirements of the business.Experience working with metadata management products such as Cloud Data Catalog and Collibra and Data Governance tools like DataplexExperience in developing solutions on GCP using cloud-native principles and patterns.Experience building data quality alerting and data quarantine solutions to ensure downstream datasets can be trusted.Experience implementing CI/CD pipelines using techniques including as git code control/branching automated tests and automated deployments.Comfortable working in an Agile team using Scrum or Kanban methodologies.In addition to the above we would be thrilled if you also had:Experience of working on migrations of enterprise scale data platforms including Hadoop and traditional data warehousesAn understanding of machine learning model development lifecycle feature engineering training and testingGood understanding or hands-on experience of KafkaExperience as a DBA or developer on RDBMS such as PostgreSQL MySQL Oracle or SQL ServerExperience designing data applications to meet non-functional requirements such as performance and availabilityPersonal qualitiesYou are pragmatic and already understand that writing code is only part of what a data engineer does.You can clearly communicate with both clients and peers describing technical issues and solutions in both written and meeting/workshop contexts.You are able to clearly explain technical concepts to non technical audiences at all levels of an organisation.You are able to influence and persuade senior and specialist client stakeholders potentially across multiple organisational boundaries without direct authority.You are a confident problem solver and troubleshooter.You are confident and generous in sharing your specialist knowledge ideas and solutions.You are constantly learning and able to make others better by consciously teaching and unconsciously inspiring. Additional Information : Benefits package at PA:Private medical insuranceInterest free season ticket loan25 days annual leave with the opportunity to buy 5 additional daysCompany pension schemeAnnual performance-based bonusLife and Income protection insuranceTax efficient benefits (cycle to work give as you earn childcare benefits)Voluntary benefits (Dental critical illness spouse/partner life assurance)PA is committed to building an inclusive and supportive culture where diversity thrives and all of our people can excel. We believe that greater diversity stimulates innovation enabling us to fulfil our purpose of Bringing Ingenuity to Life supporting the growth of our people and delivering more enduring results for our clients. #LI-NF1Remote Work : NoEmployment Type : Full-time Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Experience: years Vacancy: 1