Data Architect (IT) Data Architect (IT) …

TEKsystems Hong Kong
in Hong Kong
Permanent, Full time
Be the first to apply
Competitive
TEKsystems Hong Kong
in Hong Kong
Permanent, Full time
Be the first to apply
Competitive
Data Architect (IT)
Key Responsibilities
  • Coordinate and collaborate with business SME's and CoE's to understand different forms of data available from various systems.
  • Build and Manage Data Warehouse and Data Lakes strategies across the group.
  • Setting up scopes for EDW projects, choosing the right technology tools to support the requirements and ensuring all data needs are being met.
  • Collect, analyze, mines, and helps the business leverage the information stored in data warehouse and data lakes.
  • Provisioning data connectivity to the business whenever it requires.
  • Train and support business to make use of the data from the EDW.
  • Device plans on sunsetting legacy databases and provision users with access on the historical information and data through reports or analysis dashboards.
  • Develop and execute database queries and conduct analyses.
  • Create visualizations and reports for requested projects.
  • Develop and update technical documentation.
  • Ensure project deliverables to be on time and meet quality standards.
  • Introduce tools for effective monitoring, alerts and insights for ensuring no service interruptions.
  • Participates on vendor selection and manage them during the project.
Skills and Professional Requirements
  • Bachelor's degree in Computer Science, or a related discipline required.
  • Ability to articulate and translate technological concepts into business terms.
  • Experience working with various market standards relational databases (Oracle PL/SQL, MS Access, Postgr SQL and MS SQL databases, etc.).
  • Knowledgeable on various database formats (structured - RDBMS, unstructured - flat files and documents and semi-structured - json, xml, csv).
  • Well-versed in SQL Server BI Suite (SSIS, SSAS, SSRS).
  • Knowledge in NO-SQL schema-free database is an advantage. (MongoDB, HBase, Cassandra, etc.)
  • Working knowledge with various API interfaces (Web Services, RESTful and
  • Wide range of understanding with Cloud-Based technology i.e. Azure SQL, AWS and Google Cloud services.
  • Knowledge in Hadoop cluster nodes storage and other execution framework (i.e. Spark, Hadoop Map Reduce, Hive, etc.)
  • Working experience with data visualization tools (i.e. Microsoft Power BI, QlikView, Tableau, etc.)
  • Strong knowledge in data warehouse design (e.g. dimensional modeling), data mining as well as other EDW techniques (i.e. data mart models, data lake catalogues, data ingestions and job processing).
  • In-depth understanding of database management systems, online analytical processing (OLAP), online transactional processing (OLTP) and ETL (extract, transform and load) framework.
  • Experience in running Python scripts and machine learning modelling on Anaconda or Google Colab is a plus.
  • Shipping industry experience is a plus.
  • Excellent written and verbal communication skills, interpersonal and collaborative skills.
  • Poise and ability to act calmly and competently in high pressure, high stress situations.
  • Must be a critical thinker, with strong problem-solving skills.
  • Excellent analytical skills and ability to manage multiple projects under strict timelines, as well as the ability to work well in a demanding, dynamic environment and meet over all objectives.
  • High level of personal integrity, ability to professionally handle confidential matters, and an appropriate level of judgment and maturity.
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