Description

A career in Client Implementation and Execution, within Client Service Support services, will provide you with the opportunity to help our clients transform their customer service and engagements from cost centres into revenue generating businesses across all PwC lines of service. In joining, you’ll help clients develop and implement a customer service and engagement strategy that is aligned with their customer experience strategy, enhancing customer engagement while lowering costs, and optimising operations to ensure they are getting the most value possible.

Who we are

PwC’s Operate delivers operational and managed services solutions to clients across a range of situations often associated with their regulatory, risk and/or compliance agendas. We bring together regulatory insight, highly skilled operational resources and an unrivalled technology offering to provide a high quality and cost-effective solution to operational delivery challenges. Our capabilities stretch across several business pillars including Financial Crime Operations, Compliance Operations, Change Management and Customer Management. We have almost 1,300 people located in our purpose built, secure delivery centre in Belfast; across our regional offices in London, Manchester, Glasgow and Edinburgh; and on a range of client sites.

About the role

Our Test Practice within Technical Solutions is experiencing continuous success and growth. As part of this growth, we are seeking to recruit experienced Data engineering and analytics testers to provide QA support for testing data platforms for various clients.

Core role specific requirements:

Understanding of Data-warehousing, Data Marts, Data Lakes, Big Data and BI platforms.

Experience in or knowledge of transformation rules, mappings, and Data modelling.

SQL scripting skills (TSQL and/or PL/SQL), including query optimization.

Awareness of GDPR guidelines and its impact on testing strategy.

Worked on any of the cloud data environment - Azure/AWS/GCP

Understanding of ETL technologies (Infrastructure, architecture, performance tuning, ETL, Monitoring and troubleshooting understanding).

Hands-on experience with Unix, SQL.

Hands-on experience with Python is preferred but not mandatory.

Worked on any of the listed ETL - Informatica, Ab-initio, MuleSoft, Alteryx, SSIS, Talend, IBM infosphere DataStage.

Worked on any of the listed Data warehouse systems (preferably cloud version) - Snowflake, Amazon redshift, Google Big Query, Synapse Analytics, Microsoft SQL server, Teradata.

Experience of working on any of the big data systems like Hadoop Spark / Azure Databricks.

Working experience on data lakes.

Worked on any of the listed reporting solutions - Power BI, Qlik Sense, Tableau, SAP business objects, Amazon Quick sight, SSRS, Data studio.

Understanding of one of the OLAP systems.

Each project is different, but typically you can expect to be working on the following:

Requirements analysis and validation using static testing techniques across both Waterfall and Agile methodologies.

Definition of standard and lean test documentation for projects undertaken.

Ensuring requirements traceability

Introducing/suggesting new processes and techniques

Accurate recording and monitoring of issues

Reviewing test environments configuration and processes to facilitate continuous improvement and maintenance of quality standards

Creating test plans, cases, and scripts based on business requirements and technical specifications

Post source:jobs.theguardian.com

Posters Information:

Name:PWC

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