Data Warehousing Consultant job from Trabeya Pvt Ltd in Colombo, Sri Lanka
Wednesday 29th, April 2020
Colombo
Full-Time
IT-Hardware / Networking IT-Software / Internet
- Design, implement and manage ETL (Extract, Transform and Load) and ELT processes from multiple heterogeneous source systems
- Design, develop and manage Data Warehouses/Data Marts and OLTP/OLAP databases Configure and manage Data-as-a-Service platform instances with Amazon S3 or Microsoft Azure Data Lake Storage or on-premise Configure and manage major cloud vendor services for business intelligence, including data integration from:
- Develop interactive visualizations using business intelligence tools such as Power Bland Tableau Implement, track and document query optimizations, data governance requirements and testing of pipelines in the relevant environments
- Knowledge consistent with a Bachelor's Degree or a professional qualification in Computer Science, Data Analytics, Software Engineering or similar
- Excellent SQL skills and capability transforming data and developing pipelines as per various business needs
- Knowledge and demonstrable experience in the design and development of stored procedures, procedural SQL, SQL Server DTS, SSIS, SSRS and SSAS
- Minimum four (04) years of experience as a Senior Database Administrator/Data Warehousing Engineer, experience working on offshore projects will be an advantage
- Experience with Data Lake or NoSQL database management is advantageous
- Ability to develop good communication channels and partnerships with the eventual consumers of analytics to understand and anticipate business needs as well as other stakeholders
- Ability to learn new technologies and collaborate effectively with the Data Engineering and Product teams with minimum supervision
Skills required
Ability to learn new technologies and collaborate effectively
Excellent SQL skills and capability transforming data
design and development of stored procedures, procedural SQL, SQL Server DTS, SSIS, SSRS and SSAS
good communication channels and partnerships
Computer Science, Data Analytics, Software Engineering or similar