Version 1
Information Technology And Services
DataWarehouseEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Warehouse Engineer at Version 1. Skills: Data Warehouse Engineering, Data Pipelines, Azure, SQL. Design scalable data warehouse solutions. Develop scalable data warehouse solutions”
Industry & Context.
Problem-solving skills; Analytical skills; Critical-thinking skills
What They're Looking For.
Must Have
3-5 years of experience in DWH implementation, Databricks experience, Direct experience building data pipelines using Azure, Experience building data warehouse solutions using Azure Synapse Analytics, Experience with Spark, Hands-on experience with SQL, Hands-on experience with data quality management tools, Proficient in facilitating data exchange through APIs, Hands-on experience with SQL Server, Advanced SQL query optimization, Relational database concepts, Proficiency in data concepts related to curation, Proficiency in data concepts related to archival, Proficiency in data concepts related to analysis, Proficiency in data concepts related to visualization, Proficiency in data concepts related to integrity, Comprehensive understanding of data management best practices, Demonstrated experience with data profiling, Demonstrated experience with data sourcing, Demonstrated experience with data cleansing routines, Analytical skills, Critical-thinking skills, Problem-solving skills, Excellent communication skills, Team-oriented approach, Bachelor's or master's degree in computer science, Bachelor's or master's degree in Business Information Systems, Bachelor's or master's degree in Mathematics, Bachelor's or master's degree in related quantitative field
Nice to Have
Good knowledge in at least one business intelligence 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
Support enterprise-level analytics
Support reporting needs
Build efficient ETL pipelines
Build efficient ELT pipelines
Conduct data validation
Provide support for BI reporting initiatives
Optimize analytical performance
Develop scalable frameworks
Develop re-usable frameworks
Ingest large data sets
Transform large data sets
Integrate end-to-end data pipeline
Take data from source systems
Take data to target repositories
Maintain quality of data
Maintain consistency of data
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 methodology; DevOps methodology; Project team members
Communication Scope
Communication skills
Process & Methodology
Agile, DevOps, Iterative sprints
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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