Job Description:
Drive end-to-end execution of data analytics initiatives efficiently with completed and qualified data, and within the project timeline
Collaborate with business units, IT teams and internal team members effectively to ensure data are captured, understood, and translated for data analytics
Build ETL data pipeline for data warehouse transformation.
Lead a small group of developers to perform ETL process, preparation and modelling, and report visualization support to business
Provide maintenance support, and troubleshoot Issues on report visualisation
Work in Agile Scrum Development Team
Requirements:
Bachelor’s degree in technology, Engineering or a related field
Minimum 8 years of IT experience, with solid experience in solution design, project delivery and system integrations
Strong SQL and Python Development skills
Solid experience in using using cloud data analytics platforms to provide solutions
Experience with Google Cloud Platform (GCP)
Experience in ETL, Data Lake, data warehouse pipelines, and CI/CD process
Experience in Data Analytics with exposure in BI / Data Warehouse / Data Ingestion / Data Migration projects would be a plus
Able to work independently in a fast-paced environment with minimum supervision
Good communication skills including strong written and spoken English
Self-motivated team player
Roles & Responsibilities:
Drive end-to-end execution of data analytics initiatives efficiently with completed and qualified data, and within the project timeline
Collaborate with business units, IT teams and internal team members effectively to ensure data are captured, understood, and translated for data analytics
Build ETL data pipeline for data warehouse transformation.
Lead a small group of developers to perform ETL process, preparation and modelling, and report visualization support to business
Provide maintenance support, and troubleshoot Issues on report visualisation
Work in Agile Scrum Development Team