Data Architect / Scientist / Warehouse Consultant / Analyst - Ic

Data Architect / Scientist / Warehouse Consultant / Analyst - IC
Client Description
Leading IT&T services company in Hong Kong
Job Description
Data Platform ArchitectResponsibilities:
Translate client pain-points into problem statements, gathering requirements from client business needs, design and architect enterprise data platform to create business values.
Leverage enterprise wide information assets and system capabilities to design, map, develop, administer and test data solutions for a data warehouse / Lakehouse environment with an emphasis on the Extract-Transform-Load (ETL) process.
Establish data management processes such as data security, privacy classification and advise our clients on the collection, storage and consumption of information in their organisations.
Provide the optimal architecture and delivery approach that will service clients' needs with a balance of costs, capability, and risks to achieve the business outcomes.
Develop solution proposals that provide details of project scope, approach, deliverables and project timeline and solution oversight to delivery architects and teams.
Able to articulate complex architectural problems and solutions.
Possess strong critical thinking and communication skills to understand our client's core business objectives.
Work creatively and analytically in a problem-solving environment.
Desire to work at the intersection of business and technology.
Build and maintain complex queries, streaming and real-time data pipelines in support of data fabric and data mesh data management approaches.
Develop playbooks, standardized framework, practice guides and other artefacts that will allow our practitioners to perform their work in a structured, standard manner.
Stay up to date with data modelling and data management platforms, tools, and techniques.
Data ScientistResponsibilities:
Translate client pain-points into problem statements, gathering requirements from client business needs, design and architect analytics solution to create business values.
Leverage data science tools/techniques to analyze data sets through custom models and algorithms to uncover insights.
Create demo asset around identified business use cases.
Develop and manage data pipeline from data inputs, data cleaning and pre-processing, feature engineering, building models, deploying to production and improving by iterations.
Work in interdisciplinary teams that combine technical, business and data science competencies to deliver project work in waterfall/agile software development lifecycle methodologies.
Present statistically sound model validations to justify model selection and performance.
Senior Consultant (Data Warehouse / BI)Responsibilities:
Perform all activities related to the overall design, administration, maintenance, enhancement, testing, performance tuning, etc.
for the proposed data warehouse.
Provide advice and technical support to the maintenance teams on the database definitions, data schemas design and subject definition, performance monitoring and tuning, security consideration, data conversion strategy, etc.
Design and implement business intelligence applications including data mining.
Produce and maintain relevant documentation including but not limited to database specification, data manual and database administration manual.
Establish and maintain policies and procedures pertaining to the management, security, and use of the data warehouse/database.
Deliver skills transfer and training sessions on management and use of the proposed data warehouse/database to technical personnel involved.
Data AnalystResponsibilities:
Participate in business intelligence projects, including designing and creating dashboards, reports or other data delivery solutions.
Transform business users' requirements into constructive ideas for data visualization.
Design, build and maintain state-of-the-art reports via data visualization tool to empower the local team to make optimal business decisions.
Responsible for data fetching and SQL querying upon request.
Responsible for data cleansing and RPA development upon request.
Help client to coordinate the BI's system development, maintenance and enhancements with users and technical departments.
Spearhead ad-hoc projects such as report automation systems, dashboard creation and continuous maintenance of the data pipeline.
Supporting and challenging the Account Management team towards making optimal data-driven decisions.
Job RequirementsData Platform ArchitectRequirements:
Degree holder in computer engineering, computer science, Information Technology System, or other related disciplines.
3-5 years of experience in Data Platform Architect Role.
Strong competency in data modelling and architecting skills.
Strong competency in building large scale enterprise data pipelines using Data Analytics platforms and applied onto high performing data warehouses, data lakes and data hubs.
Have experience in data platform migration projects.
Hands-on experience with one or more of the following Analytics technology stacks.
Data Warehouse & Modelling: Data Solutions in popular cloud platform (Azure, GCP, AWS), Data Lake, Data Bricks, Data Hubs, OLAP, Data Vault.
Data Management, Governance & Storage: SAS, Collibra, Informatica, Cloudera, Hortonworks Data Platform.
Data Manipulation languages: Spark, Scala, Impala, Hive SQL, Apache Nifi, Kafka.
Experience in MLOps / ALOps.
Experience with infrastructure management and administrative tools and skillsets.
Experience with data masking and tokenisation techniques.
Knowledge in database modelling and data warehousing concepts.
Data ScientistRequirements:
Degree holder in computer science, statistics or analytics, or other related disciplines.
3-5 years of experience in advanced analytics delivery.
Able to articulate complex analytical problems and solutions.
Possess strong critical thinking and communication skills to understand our client's core business objectives.
Work creatively and analytically in a problem-solving environment.
Desire to work at the intersection of business and technology.
Curiosity to ask why and tenacity to find the root causes.
Enthusiasm for implementing machine learning solutions through extensive experimentation from prototyping to production.
Stay up to date with evolving analytics concepts and data science platforms, tools, and techniques.
Senior Consultant (Data Warehouse / BI)Requirements:
University degree in computer science, information technology or a related discipline.
Minimum 5 years of post-qualification IT experience.
Minimum 3 years of experience in data warehouse administration using SAS 9.x, SAS programming and SAS Enterprise Guide.
Minimum 2 years of IT experiences in application development with Java, popular Java Application Framework.
Familiar with Government IT Project(s) would be an advantage.
Good attitude.
Strong sense of responsibility and eager to learn.
Able to work independently.
Excellent team player.
Good command of both written and spoken English and Chinese.
Data AnalystRequirements:
Degree holder, preferably in Statistics, Quantitative Analysis, MIS, Business Administration or other equivalent.
Excellent in Excel or other analytical tools.
Experience in UiPath/Python/SQL is preferred.
Experience in Tableau/Power BI/Qlikview is an advantage.
Good interpersonal and communication skills, able to work collaboratively with business partners at different levels.
Self-motivated, enthusiastic, able to work independently with a can-do attitude under a fast-changing environment.
Strong data analytical skill and able to communicate findings effectively with business partners.
Interest in continuously learning by actively seeking opportunities to enrich knowledge and new skills.
Good command of Cantonese, Mandarin and English.#J-18808-Ljbffr