IT & Internet
£85,000 Per Annum
Remote / UK
Snr Datawarehouse Engineer (AWS/Python) - Remote/ UK
My client, an award-winning Publishing House is looking for a Senior Datawarehouse Engineer who will lead on the design and implementation of an enterprise data warehouse (EDW).
The Publishing House is one of the largest commercial publisher and digital platforms in the UK and is home to the UK and Ireland’s most iconic digital platforms, magazines and newspapers.
This role reports to the Head of Data. 100% Home based (within the UK).
Publishing House currently utilises Tableau as their visualisation platform. The dashboards are sourced from data held within a customer data lake housed within AWS. Currently the business intelligence team uses queries built in Athena to create tables and views that support the dashboards within Tableau. We are looking to create an EDW to improve the reporting capability within the business intelligence team. As the data lake already exists within the AWS suite of services, Redshift has been chosen as the platform to house the EDW.
There are multiple sources of data that are brought into the data lake via the Ingestion team. You will work closely with the Ingestion team and Data Architect to gain an understanding of the data. This will feed into how the EDW will need to be configured in order to take advantage of MPP within Redshift amongst other features. The EDW alongside the data lake will be used to power reporting and analytics across the organisation. Due to the nature of the analytics and data science teams within the agency, there is a requirement for data marts to be included in the design.
The Ideal Candidate
Degree-level education Computer Science or Information Management, or equivalent experience.
Professional qualifications appropriate to DBA roles such as Amazon’s AWS Certified Big Data - Specialty (in relation to Redshift).
Ability to work effectively remotely and resourceful, with excellent remote management and communication skills.
6+ years working with data warehouse’s in an architect or administrator role, ideally including roles in media companies or technology companies.
Extensive hands-on experience with the varied AWS services and knowledge of their limitations.
Experience building pipelines and orchestration of workflows in an enterprise environment.
Experience in optimizing the cost for service being utilised on AWS in particular Redshift.
Thorough, in-depth knowledge of the AWS tooling landscape.
Good database architecture knowledge specifically Redshift.
Proven PostgresSQL experience (database and development skills).
Proven with data management and governance in large scale with big data.
Good understanding of batch data processing.
Proficiency with Python.
Experience with other programming and machine learning languages is a plus.
Understanding of the Kimball methodology for data warehousing where and when to apply to take advantage of MPP Redshift.
Good experience of CI/CD and AWS SAM.
Expert knowledge and experience of OLAP, Data Mart and Data warehouse Data
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