Version 1
Technology
DataWarehouseEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Warehouse Engineer at Version 1. Skills: Data Warehouse Engineering, Azure Synapse Analytics, Azure Data Factory, SQL. Design scalable data warehouse solutions. Develop scalable data warehouse solutions”
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
3-5 years DWH implementation, Databricks experience, Building data pipelines using Azure, Building data warehouse solutions using Azure Synapse Analytics, Spark experience, Hands-on SQL, Data quality management tools, Facilitating data exchange through APIs, SQL Server experience, Advanced SQL query optimization, Relational database concepts, Data concepts related to curation, Data concepts related to archival, Data concepts related to analysis, Data concepts related to visualization, Data concepts related to integrity, Data management best practices, Data profiling experience, Data sourcing experience, Data cleansing routines experience, Analytical skills, Critical-thinking skills, Problem-solving skills, Bachelor's or master's degree
Nice to Have
Good knowledge in at least one BI solution, Additional knowledge of data governance principles, Additional knowledge of metadata management practices
What You'll Do.
Design scalable data warehouse solutions
Develop scalable data warehouse solutions
Maintain scalable data warehouse solutions
Build efficient ETL pipelines
Build efficient ELT pipelines
Conduct data validation
Provide support for BI reporting
Develop scalable ingestion frameworks
Develop re-usable ingestion frameworks
Develop scalable transformation frameworks
Develop re-usable transformation frameworks
Integrate end-to-end data pipeline
Take data from source systems
Take data to target repositories
Maintain data quality and consistency
Support delivery of project components
Evaluate performance of tools
Evaluate applicability of tools
Work within Agile delivery methodology
Work within DevOps methodology
Deliver proof of concept
Deliver production implementation
How You'll Work.
Team & Collaboration
Agile delivery; DevOps methodology; Project team members
Communication Scope
Excellent communication
Process & Methodology
Agile, DevOps
Full Job Description
Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: * UK & Ireland's premier AWS, Microsoft & Oracle partner * 3300+ strong, €350/£300m revenue business * 10+ years as a Great Place to Work in Ireland & UK * Best Workplace for Women in the UK & Ireland by GPTW * Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!. Role purpose This is an exciting opportunity for an experienced developer of large-scale data solutions. You will join a team delivering a transformative cloud hosted data platform for a key Version 1 customer. The ideal candidate will have a proven track record as a senior/self-starting data engineer in implementing data ingestion and transformation pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, Azure Data Factory, Azure Synapse Analytics, and SQL Server, to play an important role in developing and delivering early proofs of concept and production implementation. You will ideally have experience in building solutions using a variety of tools, and a proven track record in delivering high quality work to tight deadlines. Key responsibilities · Design, develop, and maintain scalable data warehouse solutions Azure Synapse Analytics to support enterprise-level analytics and repor
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