Job Description

Company Description
Telefonica Tech (part of the Telefonica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and +60 nationalities.
We serve more than 5.5m customers every day in over 175 countries, with a global ecosystem of market-leading partners. Global strategic hubs: Spain, Brazil, the UK, Germany.
The Telefonica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI (Adatis), Enterprise Applications (Incremental), Workplace Services and Cyber Security & Networking.
Values: Open, Trusted and Bold
Trusted Partners:

• Microsoft: Top 3 Service Providers, Azure Expert Status, Fastrack & Inner Circle Partner
• HPE: Platinum Partner - FY23 UK&I Solution Provider of the Year
• Palo Alto & Crowdstrike: part of our NextDefense Cyber Security Portfolio
• Fortinet: Elite VIP Program - one of only 2 in the UK
• AWS: Advanced Solution & Managed Service Provider Program

ROLE
You will be working from Office in India, collaborating and socialising with your colleagues across our two UK and Bulgaria Offices.
Occasionally, we would need your help outside of normal office hours (you might be required to work on the weekend or to be on-call at times).
The Data Quality Analyst is accountable for the design and operational execution of the Data Quality framework, as well as well as coordination across all technical and business resources throughout the test. Responsibilities include creation and maintenance of quality assurance testing deliverables and assisting in delivery activities.
RESPONSIBILITIES

• Analysing Business requirement for completeness and accuracy
• Analysing Business requirements against the technical specifications (data modelling)
• Creating high level test scenarios
• Creating manual test cases
• Develops validation scripts for automated execution, while creating actionable data quality reports that measure trends over time.
• Monitoring the test pipelines
• Analysing test outputs and reporting defects
• Working closely with Business Analysts, Data Analysts/Scientists, Development, and Product Owners to ensure data housed in multiple source systems is valid and accurate.
• Participating in defect triage and sprint ceremonies
• Candidate will be involved in both automated and manual ETL testing across multiple scrum teams.
• Participation in architecting the logical design of data quality practices with the technical team, including DQ design and specifications, data modelling, and documentation of logical processing flows.
• Agile testing.
• Develop, documents, and implements data quality standards.
• Regularly review and interprets QA results and findings with limited support from senior leadership.
• Regularly review and interprets QA results and findings with limited support from senior leadership.

Qualifications

• At least 3+ years related experience or equivalent combination of education and Consulting experience.
• At least 3 years' experience in large scale system implementation efforts following a standard software development lifecycle approach (scrum desired).
• Experience with ETL testing.
• Ability to write manual test cases from business requirements and technical specifications.
• Ability to create data bricks notebooks to automate the manual tests.
• Ability to create and run Test pipelines and interpret the results.
• Ability to test complex reports and write queries to check each metrics.
• Strong oral and written communications skills.

Must Have Skills:

• Experience in Azure Databricks and SQL queries - ability to analyse data in a Data Warehouse environment.
• Experience in test management tools - Devops, JIRA
• Experience in writing Python scripts.
• Experience in Pyspark.
• Experience in source control repositories - git (GitHub and bitbucket)
• Worked on testing reports (Power BI/ Tableau)
• Good understanding of the framework of ETL
• Experience working in a Scrum / Agile environment.

Nice to Have Skills:

• Experience in understanding and writing DAX queries.

Technical Skills:

• Azure Data bricks
• Python/Pyspark
• Azure ADF
• Azure DevOps
• SQL
• DAX
• Javascript/Typescript

Additional Information
We don't believe hiring is a tick box exercise, so if you feel that you don't match the job description 100%, but would still be a great fit for role, please get in touch.
We don't believe hiring is a tick box exercise, so if you feel that you don't match the job description 100%, but would still be a great fit for role, please get in touch.

Skills Required