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Software Developer/ Data Engineer/ Business Analyst / Operator - ETL

System Analyst / Software Developer

Responsibilities:

Data Engineer

Responsibilities:

Translate Data Pipeline requirements into data pipeline design, guide and direct the design in collaboration with stakeholders including architecture team, developers, data consumers, data providers, and business users
Contribute to use case development, e.g. workshop to gather and validate business requirements.
Model and design the ETL pipeline data structure, storage, integration, integrity check and reconciliation
Prepare technical specifications and user requirements
Design and enhance data model to manage risk and cost of change for the data platform
Analyse data sources with structured Data Quality Evaluation approach
Bridge the gap between business requirements and ETL logic by solving data discrepancies and implementing scalable solutions.

Business Analyst / Business Analyst Lead

Responsibilities:

Collect and consolidate the business and technical requirements for assigned project(s) by demonstrating excellent communication and stakeholder management skills, hosting workshops, and applying other requirements collection techniques where necessary.
Producing, maintaining and taking ownership of project deliverables required and assigned by direct supervisor.
Creating process flows, mock-ups, and other materials to remove ambiguity and support project requirement definitions.
Coordinate with internal teams and vendors to formulate effective solution for assigned project(s) within the defined schedule.
Communicate with all project stakeholders, including external customers and internal teams, to facilitate the smooth execution of the project implementation process.
Willing to work on rotation shift to support 7 x 24 hours operations during the production cutover for individual project.

Project Manager

Responsibilities:

Lead and manage the Data Engineer, Business Analyst, and QA teams to ensure project objectives are met.
Collaborate with cross-functional teams and stakeholders to understand data requirements and ensure data quality and accuracy.
Conduct data quality tests, generate reports, and work with stakeholders to address any issues.
Design and maintain scalable data pipelines, optimize existing processes, and monitor system performance.
Ensure data security and compliance with regulatory requirements.
Lead QA efforts for the project, ensuring that testing meets standards and requirements.
Work with different stakeholders to gather requirements, provide updates, and address concerns.

System Support

Responsibilities:

Provide support for the night batch cycle process
Monitor system performance
Troubleshoot technical issue about system functioning, data processing, online operations
Liaise with cross-functional teams to resolve system-related incidents
Compile documentation related to system support procedures, troubleshooting guidelines, and knowledge base articles

Operator

Responsibilities:

Performing data processing operations according to a business production schedule.
Batch jobs processing and monitoring. Preliminary troubleshoot as per training/operation materials.

System Analyst / Software Developer

Requirement:

Data Engineer

Requirement:

Degree or above in mathematics, statistics, IT, computer science, engineering, or related disciplines
Proficient in both English and Chinese (Mandarin or Cantonese)
8 years or above of IT experiences with 2 years in data migration / data pipelines projects
Solid technical knowledge in data modelling and architecture principles and techniques across master data, transaction data and data warehouse
Experienced in Stored Procedure (PL/SQL) & SQL DDL/DML

Business Analyst / Business Analyst Lead
Requirement:

Degree holder in Computer Science, IT or related subjects
3+ years' expertise in the Business Analysis
8+ years of relevant project experience in Business Analysis will be considered for the role of Business Analyst Lead
Business knowledge in MPF scheme operations is highly preferred
Experience in data migration is highly preferred
Experience in SQL is preferred
Experience in system development lifecycle and system integration is preferred
Knowledge in analysis of ‘As Is’ systems and ‘To Be’ systems and processes
Knowledge in building process flows, customer journeys, and use cases.
Hands-on in preparing business requirements
Hands-on in creating and maintaining traceability matrices
Able to handle and manage multiple competing priorities in a fast-paced environment
Proficient in MS Office suite
Knowledge in SQL programming

Project Manager

Requirement:

Bachelor degree in Computing
Proven experience as a Project Manager and at least 5 years in data engineering or related fields.
Strong proficiency in Oracle and MS SQL Server, with hands-on experience in PL/SQL, Oracle SQL, and T-SQL, experience in SQL tuning.
Experience in ETL (Extract, Transform, Load) processes is a must.
Experience in data warehousing is a must.
Team lead experience is required.
Excellent problem-solving and troubleshooting skills.

System Support

Requirement:

Proven experience in system support with a focus on night batch cycle support and online systems
Proficient in SQL for database querying and manipulation
Knowledge of Spring Boot framework for Java-based application is essential
Hands-on in handling complicated technical issues related to systems, databases, networks, applications
Flexibility to work on shifts including nights, weekends, or holidays

Operator

Requirement:

Certificate / Diploma in Computing
1-2 years relevant working experience
Basic knowledge in computing operation.
Familiar with computer operating system, such as Windows and Linux. With SQL knowledge is preferable.
Able to follow training materials or operation procedures to carry out daily operations, monitoring and scheduling jobs.