Job Description
Do you know how great data design can support critical business decision-making? So do we. Data is more than just information. It's valuable insight that gives business the knowledge to transform. About you You help to design data solutions that enable clients to see the whole picture and provide insightful and accurate analysis that helps to build successful businesses. About the job As a Data Engineer, you will support the implementation of projects focused on collecting, aggregating, storing, reconciling, and making data accessible from disparate sources to enable analysis and decision making. This role will also play a critical part in the data supply chain, by ensuring stakeholders can access and manipulate data for routine and ad hoc analysis. Additionally, you will support the full lifecycle of data from ingesting through analytics to action.Key Role Responsibilities:
Day-to-day you will:
Support planning and delivery of data warehouse and storage architecture. Support the planning and implementation of data design services, providing sizing and configuration assistance, and performing needs assessments. Develop and maintain data warehouse schematics, layouts, architectures, and relational databases for data storage and data mining Deliver data to end-users using ETL, SSRS, Excel, PowerPivot, and SharePoint Performance Point Customize data storage and extraction, data mining, database architecture, metadata, and repository creation. Implement effective metrics and monitoring processes. Participate in the design and development of business intelligence reporting tools. Program and maintain report forms and formats, information dashboards, data generators, canned reports, and other end-user information portals or resources.
Key Role Skill & Capability Requirements:
Strong experience with Talend 's Data Integration Studio, Data Quality, Data Catalog OR Azure Data Factory OR SSIS backed by Azure certifications Strong in SQL and SQL Data Warehouse ( Microsoft Synapse ) Exposure to WhereScape Unix scripting Familiarity with CI/CD in DevOps in a data engineering context Azure certifications (AZ-900, AZ-200 and 201)
Preferred Education Background:
You likely possess a Bachelor's degree in Applied Mathematics, Statistics, or another relevant field with around 4-9 years of relevant professional experience.
