· Responsible for data architecture, low level design, application development and testing to deliver high quality data solutions that covers end-to-end data lifecycle.
· Conduct and lead discussions with business and stakeholders to understand project scope and business requirement
· Design data solutions/ETL jobs that support collection, ingestion and transformation of high-volume transactions.
· Lead discussions with enterprise architecture team to facilitate necessary approvals
· Design and build the data model to support efficient data storage and analysis.
· Lead end-to-end development/enhancement that encompass ETL jobs, database design and building API end-points.
· Performing code reviews and providing critical suggestions for fixes and improvements.
· Use configuration management and integration/build automation tools to manage, test and deploy application codes.
· Conduct SIT and UAT, investigate and resolve technical issues reported in projects or issue resolution.
· Supporting issue analysis and fix activities during test phases, as well as production issue resolution.
· Fixing and performance tuning of proposed solutions.
· Develop and review technical documents and other System Development Life Cycle (SDLC) related documents.
· Bachelor's degree in computer science, information technology, or a similar field.
· 5+ years' hands-on experience in handling data warehousing related projects e.g. big data , data warehouse , business intelligence, master data management; Minimum 3-years' experience in leading ETL development team for BI projects in relational data warehouse or big data implementations
· Understanding of data model including Dimensional Data modelling is desired
· Expert knowledge of metadata management and related tools.
· Work experience in Data Warehousing and Data Platform systems with understanding of 3NF and Dimensional modelling concepts
· Experience with data management tools (like Informatica, Talend Ab initio) is required
· Advanced SQL database management is a plus.
· Adept at queries, report writing and presenting findings.
· Working knowledge of Hadoop, MapR and Machine Learning techniques are desired.
· Strong interpersonal skills.
· Excellent communication and presentation skills.
· Advanced troubleshooting skills.
· Certifications in relevant skills (e.g. ETL tool, big data etc.) will be an advantage
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(8340) IBM Singapore Pte. Ltd.
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