Key Responsibilities:
• Design and implement relevant data models in the form of data marts stored in Operational Data Stores, Data Warehouses or Big Data platforms
• Build data pipelines to bring information from source systems, harmonise and cleanse data to support analytics initiatives for core business metrics and performance trends.
• Perform data profiling to understand data quality and advise practical measures to address such data issues through data transformation and data loading
• Dive into company data to identify sources and features that will drive business objectives.
• Work closely with project manager and technical leads to provide regular status reporting and support them to refine issues/problem statements and propose/evaluate relevant analytics solutions
• Bring your experience and ideas to effective and innovative engineering, design and strategy
• Work in interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies
Requirements
- 5 years of relevant IT software experience relating to data integration/ETL and data warehousing implementation. Experience needs to include data mapping, ETL development and testing.
- At least 3 years development experience with implementing ETL solution in SAS Data Integrator.
- Hands on experience both in Windows and Unix environments
- Hands-on experience for other SAS Tools will be an added advantage
- SAS Enterprise Miner
- SAS Enterprise Guide
- SAS Visual Analytics
- SAS Viya
