POSITION OVERVIEW : Datawarehouse Support Engineer (EDW)

POSITION GENERAL DUTIES AND TASKS :
The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.

He/she is responsible for ensuring system availability and timely deliverables for datamarts for various business unit like Finance, regulatory, Campaign.

The support specialist, as the analyst expert within the IT team, will be the support staff who needs to closely co-ordinate and work with various team like Tech Infra, application services, solutioning, project and business units in the bank. He/she follows up to resolve issues reported by users and performs impact analysis related projects/enhancements that will impact the EDW.



Roles/Responsibilities

- Responsible to provide BAU support for Enterprise Datawarehouse

- Responsible to provide operational support and ensure SLI of system availability, batch deliverables

- Respond on time to the queries raised by various business units

- Provide timely updates regarding production status and progress of issue resolution

- Fine tune applications and systems for high performance and higher volume throughput

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to IT standards

- Perform impact analysis of enhancements/projects that will impact supported systems

- Identify the underlying problems, analyse the root causes, provide possible solutions/fixes, and respond to users within SLA

- Support relevant software/platform/database upgrade for the systems

- Work with delivery team for smooth transition from projects/enhancements to BAU Mode

- Incident, problem, and service outage management experience

- Participate in Disaster Recovery and Business Continuity exercises

- Able to support relevant software/platform/database upgrade for the systems

- Server Performance, capacity, utilization monitoring and Health monitoring

- Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes

- At least 3+ years of relevant experience in banking/financial services industry

- Experience with Teradata FSLDM and data mapping

- Hands-on technologist, strong in SQL, UNIX and Teradata tools and technologies

- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)

- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage

- Experience in Performance Tuning on Teradata or other MPP data pipeline

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus

We are seeking for a Big Data Engineer/Data Architect to join our dynamic data support team. This candidate will be responsible for various professional fields including big data, data warehousing, and data analytics, supporting the company's petabyte-level data services.

1. Maintain overseas data centers, including ensuring database stability and high availability, as well as stabilizing and optimizing the big data infrastructure;
2. Responsible for data-driven decision-making for overseas business, including the development and maintenance of real-time and offline metrics, closely collaborating with project teams for decision analysis;
3. Select and optimize the infrastructure of data centers, and communicate with third-party vendors;
4. Implement data security and privacy measures to protect sensitive information and ensure compliance with regulatory requirements;
5. Stay up-to-date with emerging trends and technologies in big data, machine learning, and data engineering, and evaluate their potential impact on our business and technical architecture.

Job Requirements:

1. Bachelor's degree in Computer Science, or related field;
2. Strong command of the Linux operating system, with expertise in at least one scripting language such as Shell or Python;
3. Advanced proficiency in SQL language, coupled with extensive experience in performance tuning;
4. Expertise in mainstream databases including Oracle, MySQL, Redis, and MongoDB;
5. Deep familiarity with cloud platforms such as Alibaba Cloud, GCP, and AWS, along with robust troubleshooting skills;
6. Comprehensive understanding of mainstream big data technologies like Hadoop, Doirs, Starrocks, and Kafka;
7. Proficient in cloud-based big data solutions on platforms such as Alibaba Cloud, GCP, and AWS, with a proven track record in tuning and troubleshooting;
8. Proven experience in designing, implementing, and managing big data solutions, including data pipelines, storage systems, and processing frameworks;
9. Proficiency in both English and Chinese, to facilitate effective communication with Chinese-speaking counterparts.

The IT Operator is responsible for:

Provide single point of contact for incident, service request and escalation.

• Monitor, manage and maintain data centre operation and facilities.

• Manage equipment movement

• Daily monitoring of status

• Ensure proper running of the existing data centre systems.

• Perform tape mount and un-mount for the backup operation.

• Handle the portable media storage for off-site storage.

• Liaise with the vendor on maintenance and enhancement issues.

• Troubleshoot and report system incidents/problem and abnormalities.

• Resolve incidents related to routine problems or known issues.

• Adhere to service level agreement for response time and turnaround time.

• Able to work shift including weekends and public holidays.

• Possess Diploma in Computer Science/Electronics/IT or equivalent

• Minimum 1 year of relevant working experience in IT infrastructure operation

• 12 hrs shift working

Please submit resumes to [email protected] with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Suntory Beverage & Food International (SBFI) is step changing its SAP system landscape across the globe and moving to a single instance strategy with a fit-to-standard approach to the functional design. As we transform to a more integrated One Suntory organisation, we would like to step change our technology platforms to be more integrated and consistently executed across all our markets. The SBFI S/4HANA Master Data Manager role is critical in helping to drive the standardisation of all key master data objects, in conjunction with our appointed System Integrator across all markets in Asia Pacific and Europe. The individual will also work across workstreams to continue to evolve the company’s best practices to ensure that the way master data is governed supports our dynamic business operating model. The role is both technically and business process oriented and requires strong hands-on skills and a deep understanding of what it takes to deliver complex MDG transformation programmes using Central Finance as a stepping stone to full S/4HANA adoption.

Responsibilities

• Experience of implementing MDG solutions, ideally utilising either Syniti or SAP MDG technology.
• Work with the Global MDG lead as well as nominated representatives from each BU, to define the to-be strategy.
• Work as an integrated team member within the overall project team structure.
• Work with each BU to ensure that the MDG strategy is realised and that all BAU activities are embedded in each BU as per overall deployment timeline.
• Act as a point of contact between the IT organisation and the outsource provider to ensure SLAs are met.
• Focus on ensuring that all key master data objects are moved to a centralised delivery model without losing BU agility
• Contribute both internally & externally for all deliverables and day-to-day delivery for the MDG workstream.
• Work with stakeholders of the BUs to identify and opportunities for process improvement in the overall MDG workspace.
• Work with external vendors to drive standardisation of key data objects that can be implemented in accordance with the to-be MDG strategy.
• Align with existing team members to ensure that all deliverables are produced in accordance with quality standards.
• Act as a point of contact to ensure the continuous improvement of the MDG solution to meet evolving business requirements.
• Work as an integrated team member to highlight areas where there are variances or compliance deviations.
• Provide guidance on product functionality and on product selection for key capabilities and functionality to help realise the end-state system capabilities.
• Work with the MDG lead to develop the SBFI BAU operating model across the BUs.

Experiences
• 5 to 10 years of experience in an MDG role either in project delivery or as part of a team delivery BAU operations.
• The candidate will need to bring a detailed knowledge of MDG in the context of an SAP S/4HANA system landscape.
• The preferred candidate to have experience in Syniti SKF tools for data migration, analytic and cleansing process.
• Knowledge and experience of delivering SAP Transformation via Central Finance as a Steppingstone to full S/4HANA adoption is an advantage.
• Be able to demonstrate an understanding of various MDG strategies in order to support organisational change of moving to a centralised operating model.
• Experience of implementing complex MDG transformations along with a real comprehension of the common problems encountered when working across multiple time zones.
• Business Process Knowledge: Understanding business processes and workflows in relation to the overall MDG strategy across various domains, is required.

As this is a contract position, it will be managed by our 3rd party contractor vendor.

Big Data Exchange (BDX) is a leading Pan Asian hybrid, hyperscale and edge solutions provider with assets located in Hong Kong, Singapore, Guangzhou, Nanjing, Indonesia and expanding footprints in SEA regions.

Our hybrid ecosystem provides colocation, Enterprise Services, private cloud services, disaster recovery services, and interconnect solutions across cloud service providers, telcos, internet exchanges and major data centers.

We power digital transformations and sustainability as part of our core values to provide mission-critical infrastructure for Enterprise IT workloads. To find out more, please visit www.BDxworld.com

Duties

• Oversee all aspects of the data center's critical physical infrastructure. Maintain high availability and performance while ensuring that all work performed within the site is done to high quality without impact to internal/external customers and maintain service level agreements.
• Work Closely with the leadership team to ensure all out operations are standardized across site.
• Work closely with the leadership team to ensure PUE optimization programs are planned and executed to improve efficiency.
• Manage teams of 24x7 engineers and technicians.
• Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
• Engage in improvement projects, often requiring reaching out to a variety of internal and external support teams, and drive them from conception to completion.
• Act as an escalation point for Data Center facilities related issues / failures including responding to out-of-hours emergency calls.
• Overall site capacity management.
• Participates as part of the new facility/infrastructure design team.
• Incident Management including but not limited to communicating and coordinating activities and on-site staff during a complex customer-impacting incidents, drive root cause analysis and provide a clear direction and, drives approval for incident resolution.
• Ensure all safety procedures are adhered to while performing work.

Requirement

• Bachelor’s degree or above in Engineering or related field.
• 10+ years in directly managing a data center or multiple data centers.
• Engineering background with focus on MEP systems.
• Managing full life cycle of Data Centre assets and have experience working with Engineering teams to replace/ refurbish Old Data Centre Assets within a ‘Live’ Data Centre environment.
• Executive mentality and EQ with ability to collaborate with various types of people- DC techs to C-level customers and everyone in between.
• Big-picture thinker with a growth mindset that truly believes in “innovate or become obsolete”.
• Tireless energy and positivity to recruit, motivate and create a high-performing teams.
• Fluent in English and Mandarin as you need to deal with Mandarin speaking personnel
• Exposure to Automation / IOT deployment or Smart Data Centre integration experience a plus.

Some Information on BDx Data Centers:

Big Data Exchange (BDx) is a leading Pan Asian hybrid, hyperscale and edge solutions provider with assets located in Hong Kong, Singapore, Guangzhou, Nanjing, Indonesia and expanding footprints in SEA regions.

Our hybrid ecosystem provides colocation, Enterprise Services, private cloud services, disaster recovery services, and interconnect solutions across cloud service providers, telcos, internet exchanges and major data centers.

We power digital transformations and sustainability as part of our core values to provide mission- critical infrastructure for Enterprise IT workloads. To find out more, please visit www.BDxworld.com

Why does this Role exist:

The Mechanical Engineering Lead plays a critical role for the design and construction of our both greenfield and brownfield data centers in APAC region. His/her responsibilities include designing new data centers, remodeling, and deploying the existing ones, with expertise in mechanical engineering.

What do we basically expect from you:

To have a Passion for design and construction in datacenter space.

What would you expected to do:

· Develop new greenfield and brownfield data centers.

· Assist in datacenter remodeling work and deploying additional services into existing data halls.

· Lead and work as a part of a team to create concept design schemes.

· Produce prospectus for potential designs.

· Manage the lead design consultant to produce and ensure the completeness of relevant designs and documentations.

· Follow relevant procedures and obtain necessary approvals.

· Create relevant procedures when necessary.

· Keep documentation up to date.

· Resolve design and site issues.

· Cross-check other discipline designs including mechanical design.

Educational Qualifications and Experience needed for this Job:

· Bachelor’s degree in Mechanical Engineering or related field.

A. What Really Catches our eye:

· Minimum of 10 years of experience in engineering consultancy or data center operation.

· Chartered or is a Licensed Professional Engineer.

· Solid experience in:

1. Greenfield design

2. Live data center modification

3. Maintenance Operation

4. Testing and Commissioning

5. MEP work phasing and logistics.

6. Be knowledgeable in electrical, telecommunication, structural, architectural, quantity survey, cost estimation, project management, construction management and facilities management.

· Self-motivated. Adaptable. Good communication skills.

· Experienced in leading multi discipline teams to deliver projects

· Be disciplined manager assigning and reviewing tasks

· Presentable and confident in client facing

· Able to travel occasionally (around 20% of time)

· Experience with data center operation or banking operation is an advantage.

· Experiences working in different countries / global exposure is an advantage.

As a Cloud Platform Engineer, you will be responsible for designing and implementing cloud platform architectures. You will work closely with the project team to analyze client needs, develop technical designs, and provide expert guidance throughout the implementation lifecycle. Your primary skill proficiency in Cloud Platform Architecture will be essential to the success of this project.

• Design and implement cloud platform architectures for the Migration project.
• Collaborate with the project team to analyze client needs and develop technical designs.
• Provide expert technical guidance and support throughout the implementation lifecycle.
• Conduct rigorous system testing and troubleshooting to optimize the performance of cloud platform architectures.

This is a temporary position attached to a non-profit, non-government organization.

Location: Buona Vista

Duration: Immediate until July 2024

Job Scope

-Perform a comprehensive audit of the CRM to identify and remove specific data
-Clean up the ‘Company Master’ tab
-Update data in both the old and new CRM systems, ensuring all information is current and accurate.
-Ensure that the data declared in the the Portal are accurately reflected in the CRM.
-Collaborate with the team to assist in the implementation of a prepayment protection system for the scheme

Requirements

-Diploma or Bachelor’s Degree in Information Technology, Business Administration, or a related field.
-Prior experience with data auditing and cleanup is highly desirable.
-Proficient in Microsoft Office Suite, especially MS Excel

Working Hours

Monday to Thursday 8.45am to 6.15pm

Friday 8.45am to 5.45pm, 5 day week

Hourly Pay $12.00 - $14.00

To Apply

WhatsApp resume: 8023-1992, or

Email resume: [email protected]

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WE ARE HIRING !! Apply now and make a difference

Role: Data Engineer

Job Title: Senior Data Engineer

Job Requisition Number: JR30694

Job Level: More than 10 years of relevant experience (L4)

Location: Singapore

Key Skills: AS400, Hadoop, Data Lake, SQL, Informatica

Job Objectives:

Work in Data Lake integration.

Key Responsibilities:

Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third party tools), BMC monitoring tools
Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
It will be good to have experience in working with No SQL as well as virtualized Database Environment

Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch
Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration
Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

Flexibility to stretch and take challenges

Communication & Interpersonal skills

Attitude to learn and execute

Key Requirements:

· 7+ years of AS400, RPG, CLP & SQL

· Knowledge of Aldon Change Management System(ACMS) is a must·

· Experience in developing Hadoop

· Experience in data lake (integration of different data sources into the data lake)

· SQL Stored Procedures/Queries/Functions

· Unix Scripting

· Experience with distributed computing, parallel processing, and working with large datasets

· Familiarity with big data technologies such as Hadoop, Hive, and HDFS

· Job Scheduling in Control-M

· Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

· Familiarity with version control systems (e.g., Git) and collaborative development workflows

Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

Please forward your resume in MS word format to [email protected] and

[email protected]

Please refer your friends for any IT openings as we have various positions.

Please do not send PDF Format Resume . Send the following details

1. Notice period

2. Current Salary

3. Expected Salary

4. Visa Status in Singapore

5. Current Location

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Assist in the development, construction, testing, and maintenance of SQL databases and data pipelines
• Participate in data modelling, database design, ETL, and reporting tasks under supervision
• Assist in the creation of database schemas, tables, views, functions, and stored procedures using SQL
• Support in loading data from various sources into databases and data warehouses using SQL and ETL tools
• Contribute to optimizing SQL queries and database performance
• Collaborate with software developers in integrating applications with databases
• Assist in documenting database schemas, ETL processes, and technical specifications

• Bachelor's Degree in Computer Science or any IT related field.
• Minimum 2 years of experience in data engineering with SQL and relational databases
• Proficiency with SQL (PostgreSQL, Microsoft SQL Server) including writing complex queries, joins, aggregations, etc
• Knowledge of database design principles, data modeling and warehousing principles
• Experience in developing schemas, tables, views, functions
• Experience with ETL processes and data pipelines
• Familiarity with database performance tuning and optimization
• Ability to communicate technical specifications to stakeholders

The Data and Analytics team is looking for Data Governance analysts with 3 to 5 years’ experience working in the field of Data Governance. They will be part of a team responsible for developing and implementing policies and procedures to ensure the accuracy, security, and integrity of Income’s data. They will work closely with stakeholders across the organization, including IT, legal, compliance, and business teams, to help establish data standards and controls.

Key Responsibilities:

• Work with data stewards to ensure capture key business terms and definitions
• Work with data stewards to define and implement data quality rules
• Work with technical stewards to capture the logical data model as well as physical metadata
• Work with data scientists to ensure statistical models built meet ethical AI and FEAT standards
• Support business data partners and functional analysts in performing data analysis and root cause analysis
• Monitor and report on data governance artefacts and data quality issues

Requirements:

• 3 to 5 years’ experience in data governance or data quality related roles
• A bachelor’s degree in computer science, information technology or equivalent field
• Proficient in SQL and in performing data analysis
• Good communication skills, both written and verbal
• Critical thinking and strong problem-solving ability
• Experience with data analysis or data governance tools such as Informatica IDMC, Collibra desired
• Experience with Data Warehouses such as Redshift/ BigQuery/ Snowflake/ Hive / S3 desired

Income Insurance is undergoing a strategic transformation across its business and technology landscape. As part of this ambitions journey, Income Insurance is looking at building its data capability across the organisation. This includes focus areas such as changing organisation culture around data, increasing the usage of data in decision making and enabling advanced concepts like ecosystem partnering, AI and ML based risk management and personalisation.

Over the years, Income Insurance has built a strong Data and Analytics team. We are now looking for passionate professionals who would like to be part of the team. They will work with experienced data scientists, data engineers, Business Intelligence experts as well as data stewards from business units across the company on data governance processes which will deliver value to Income Insurance's business.

Role:Insurance regulatory reporting & data SME

JD:

Responsibilities:
• Collaborate with cross-functional teams to gather and analyze business requirements related to data and reporting projects in the insurance sector.
• Leverage business consulting expertise to bridge the gap between business needs and technological solutions.
• Provide insights and recommendations to enhance reporting processes and contribute to the overall efficiency of insurance operations.

Requirements:
• At least 8 years experience in either Consulting for Insurance clients or in the Insurance industry working on data / reporting projects. Candidate outside of Insurance & data fields will not be considered.
• Practical experience with regulatory reporting (e.g. IFRS17)
• Deep understanding of various reports produced by insurance companies, including but not limited to Regulatory, Finance, Actuarial, Distribution, Underwriting, and Claims reports
• Excellent analytical and problem-solving skills
• Effective communication and stakeholder management
• Familiarity with regulatory requirements in the insurance sector
• Adaptability to a dynamic work environment

The IT Operator is responsible for:

Provide single point of contact for incident, service request and escalation.

• Monitor, manage and maintain data centre operation and facilities.

• Manage equipment movement

• Daily monitoring of status

• Ensure proper running of the existing data centre systems.

• Perform tape mount and un-mount for the backup operation.

• Handle the portable media storage for off-site storage.

• Liaise with the vendor on maintenance and enhancement issues.

• Troubleshoot and report system incidents/problem and abnormalities.

• Resolve incidents related to routine problems or known issues.

• Adhere to service level agreement for response time and turnaround time.

• Able to work shift including weekends and public holidays.

• Possess Diploma in Computer Science/Electronics/IT or equivalent

• Minimum 1 year of relevant working experience in IT infrastructure operation

• 12 hrs shift working

Please submit resumes to [email protected] with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

The IT Operator is responsible for:

Provide single point of contact for incident, service request and escalation.

• Monitor, manage and maintain data centre operation and facilities.

• Manage equipment movement

• Daily monitoring of status

• Ensure proper running of the existing data centre systems.

• Perform tape mount and un-mount for the backup operation.

• Handle the portable media storage for off-site storage.

• Liaise with the vendor on maintenance and enhancement issues.

• Troubleshoot and report system incidents/problem and abnormalities.

• Resolve incidents related to routine problems or known issues.

• Adhere to service level agreement for response time and turnaround time.

• Able to work shift including weekends and public holidays.

• Possess Diploma in Computer Science/Electronics/IT or equivalent

• Minimum 1 year of relevant working experience in IT infrastructure operation

• 12 hrs shift working

Please submit resumes to [email protected] with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

About the job

• Take lead and manage the cabling and rack design for our investment bank client's data center portfolio in Hong Kong. Work closely with global infrastructure cabling engineering team on the detailed design.
• Coordinate with Technology teams (e.g. Telco, Unix teams, etc) on cabling requirements.
• Prepare technical tender drawings and specification, work along with our client's procurement team to issue RFP. Conduct tender interview, issue tender queries and provide recommendation report on selecting cabling vendors.
• Project manage the cabling vendor, review shop drawings, procurement, delivery logistics, schedule installation works and program, and witness commissioning testing and handover
• Project close out of cabling O&M manuals and as-built drawings

Products familiarization

• Ideally Panduit product sets
• Rack/cabinets, patching frames
• Industry best practices, including familiarization with ISO based testing regimes
• Experience in Cisco and Arista equipment is a plus
• Experience with cassette and LC Hydra based MPO/MTP structural cabling technology is a plus

Skills Required

• Language:
  • English (fluent English speaking and writing)
  • Cantonese/Mandarin is a plus
• Good communication skills, take responsible and being proactive person

Skills Desired

• Data center related work experience, financial company background is a plus
• Good understanding of existing live data center environment and constraints
• Relevant international cabling certifications (e.g. RCDD)
• Project Management is a plus (such as PMP)
• Able to deliver and work under pressure

Perks and Benefits

• Permanent Offer
• No shift
• Competitive salary and medical/dental benefits
• 20 days annual leave per year

What will you do?

Join us as a Data Engineer, where you’ll harness vast datasets to drive health innovation forward. Your role will centre on crafting resilient data infrastructures, mastering SQL and big data technologies, and turning complex business challenges into actionable data insights. We’re looking for a collaborative problem solver with a blend of technical prowess in Python or Java, deep understanding of distributed computing, and a genuine eagerness to impact the healthcare industry.

Your key responsibilities include:

• Support the management of data effectively to achieve project goals and enhance engagement with all stakeholders.
• Develop and implement a robust health data system for use in medical contexts, optimizing the functionality of health products with advanced big data infrastructure.
• Engage in the establishment and upkeep of data warehouses. Catalog and strategize data resources based on operational needs, creating a comprehensive data asset framework to assure quality and security, and facilitate the seamless exchange and use of data.
• Construct and maintain a reliable data pipeline. Oversee the integrity and governance of both offline and real-time data throughout processing stages.
• Collaborate in the research and creation of data-driven products and applications, building a repository of data strategies and methodologies. Work alongside teams from operations, product development, and medical education to unlock the potential of data in driving business objectives.
• Mentor and provide professional development for junior and intermediate data R&D engineers by conducting training sessions, performing code reviews, and employing other methods to enhance the team's overall skill set.

What skills do you need?

Human Skills:

• Demonstrates clear thinking, logical reasoning, and strong problem-solving skills.
• Possesses excellent communication and presentation abilities.
• Exhibits a keen understanding of business processes and the ability to grasp complex business issues.
• Shows enthusiasm for tackling challenges and an aptitude for learning.

Base Technical Skills:

• Experienced in the architecture, modelling, and ETL (Extract, Transform, Load) design and development of data warehouses.
• Proficient in SQL coding and performance optimization.
• Skilled in at least one programming language, such as Python or Java.
• Knowledgeable about distributed computing frameworks, including but not limited to Hadoop, Hive, Flink, Spark, Hudi, Kafka, and Elasticsearch.
• Competent in handling large-scale data processing and real-time data computation.
• Acquainted with big data analysis engines like Kylin, Clickhouse, and Presto.
• Familiar with the implementation or data integration of international mainstream electronic medical record systems.

Qualifications:

• Holds a degree in Computer Science, Mathematics, Statistics, or a related field.
• More than 3 years of professional experience in big data, previous experience in health tech or healthcare industry is a plus.
• Well-versed in medical data standards and models, such as FHIR and OMOP.

• Monday to Friday; office hours
• Accessible location; Walkable distance from MRT Station in the central location
• Attractive remuneration package and benefits

Our client, our established government-linked agency in the healthcare sector, is seeking for suitable candidates to join the growing team!

Job Responsibilities:

• Support management in the handling of data sharing request based on company’s Data Sharing Framework
• Manage and ensure continued relevance and application of the company’s policy across division’s processes
• Manage and review data protection compliance related aspects
• Ensure compliance of Data Protection by organization’s partners; Engage and develop suitable data sharing agreements with partners, doing process reviews etc
• Support and manage internal and external stakeholders towards continued improvements for an enhanced governance process in managing classified information and data
• Develop and execute standardise approach for data governance compliance
• Conduct reviews and periodic audits to ensure continued adherence with Data Protection approaches
• Other relevant duties as required

Job Requirements:

• Minimum Degree in Information Science/ Business Management or equivalent
• Minimum 5 years of relevant experiences in handling information management and governance aspects
• Knowledge of Data Protection Act is highly advantageous
• Strong analytical skills; Candidates with strong process thinking skills and workflow approach is preferred
• Good interpersonal and communication skills

Interested and suitable candidates, please email your CV in MS Word to

[email protected]

Ammerline Lam Sze Yi

Division Manager

CEI Reg. No.: R1104463

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Job Description

Strong understanding of Data Governance concepts; must have experience in implementing DG Framework and best practices.

§ Assess current data management processes and provide solutions around the enhancement of data governance maturity

§ Accountable for driving continuous improvement in data governance culture/technology and expansion of data governance initiative within the team.

§ Must have experience in creating data governance policies on different areas of DG

§ Drive the awareness and establishment of data related improvement initiatives across the team.

§ Ability to manage senior management relationships across all the business and functional areas.

§ Consensus building capability, with a strong ability to influence the Business and IT teams on the DG best practices, and the way forward

§ Knowledge of data related regulatory requirements and emerging trends and issues that impact enterprise data governance.

§ Must appreciate the people, process as well as technology aspect of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g. Data Governance culture, Data Quality, Data Privacy, Metadata Management.

§ Must have strong written and oral communication skills

§ Extensive experience around all aspects of Data Governance including but not limited to, building DG Roles & Responsibilities, Data-Quality framework, Metadata management, Data modelling, data naming standards etc.

§ Good to have experience on DG tools and affinity with Data Lake (Synapse, Databricks etc.)

Job Description

· Strong understanding of Data Governance concepts; must have experience in implementing DG Framework and best practices.

§ Assess current data management processes and provide solutions around the enhancement of data governance maturity

§ Accountable for driving continuous improvement in data governance culture/technology and expansion of data governance initiative within the team.

§ Must have experience in creating data governance policies on different areas of DG

§ Drive the awareness and establishment of data related improvement initiatives across the team.

§ Ability to manage senior management relationships across all the business and functional areas.

§ Consensus building capability, with a strong ability to influence the Business and IT teams on the DG best practices, and the way forward

§ Knowledge of data related regulatory requirements and emerging trends and issues that impact enterprise data governance.

§ Must appreciate the people, process as well as technology aspect of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g. Data Governance culture, Data Quality, Data Privacy, Metadata Management.

§ Must have strong written and oral communication skills

Extensive experience around all aspects of Data Governance including but not limited to, building DG Roles.

Role:Sr Data Governance Consultant

JD:

• Strong understanding of Data Governance concepts; must have experience in implementing DG Framework and best practices
• Assess current data management processes and provide solutions around the enhancement of data governance maturity
• Accountable for driving continuous improvement in data governance culture/technology and expansion of data governance initiative within the team
• Must have experience in creating data governance policies on different areas of DG
• Drive the awareness and establishment of data related improvement initiatives across the team
• Ability to manage senior management relationships across all the business and functional areas.
• Consensus building capability, with a strong ability to influence the Business and IT teams on the DG best practices, and the way forward
• Knowledge of data related regulatory requirements and emerging trends and issues that impact enterprise data governance.
• Must appreciate the people, process as well as technology aspect of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g. Data Governance culture, Data Quality,Data Privacy, Metadata Management.
• Must have strong written and oral communication skills
• Extensive experience around all aspects of Data Governance including but not limited to, building DG Roles & Responsibilities, Data-Quality framework, Metadata management, Data modelling, data naming standards etc.
• Good to have experience on DG tools and affinity with Data Lake (Synapse, Databricks etc.)

• Consulting with management and software developers to determine software solution requirements.
• Evaluating software solutions and system performance, as well as supervising the software development team.
• Demonstrating patience and using effective explanations when mentoring junior software developers.
• Managing the development, deployment, and integration of software solutions.
• Determining system specifications and analyzing test stage data prior to software installation.
• Managing the installation and configuration of software solutions.
• Collaborating with front end users on software functionality.
• Resolving software deployment and integration errors, and documenting processes.
• Performing routine maintenance and monitoring performance metrics.
• Keeping abreast of new software technologies, as well as conforming to best practices in cybersecurity.

About the function

In order to be a successful Technical Lead at Accenture, you’ll need to be comfortable guiding and mentoring a team of engineers and dealing with both internal and external stakeholders. You will be responsible for a team tasked with managing, transforming and cleansing high volume data, helping our Tier 1 clients solve business problems in the area of fraud, compliance and financial crime. We’re looking for hands-on technical leaders who are comfortable splitting their time between coding and managing the engineering team. Being Agile is an integral part to the success we have at Accenture and leading regular team sprints and Scrum meetings with your engineering team is essential. You’ll be working closely with Data Scientists, Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our clients expectations and delivering a first-class service. We want our employees to use the latest and leading open source big-data technology possible. You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. Our primary language is written in Scala, but don’t worry If that’s not currently your strongest language, we make sure that every employees goes through our training academy so they’re comfortable and confident with using our platform

Key Responsibilities:

• Leading a team and mentoring junior engineers.
• Guiding team members through technical issues and challenges.
• Ensuring that engineers are following best practices and standards.
• Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.
• Write defensive, fault tolerant and efficient code for data processing.
• Automate data processing to enable on-going alerts on high-risk activity.
• Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
• Work very closely with data scientists to ensure efficient and effective delivery of solutions.
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
• Work with our expert software development team to produce reusable applications.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.

Requirements:

• Must have: Quantexa Data Engineer Academy certification.
• Minimally 8 years of Data Engineering experience
• Good time management and prioritizations skills to balance engineering, team management and customer facing responsibilities.
• Good communication skills and experience working with different customers, partner organisations and cultures.
• Proven big data experience, either from an implementation or a data science prospective.
• Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
• Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience with MVC frameworks such as AngularJS
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java, or Python.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
• Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).

• Requirement:
• 5 Years experience Java (Core & Enterprise) Java Application Servers (Tomcat & WebLogic) .NET Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services Well versed in Windows, Linux and/or Unix scripting Azure integration IIS Oracle database (Core DB &PL/SQL), MSSQL
• Good grasp on security fundamentals/PKI
• Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct, Ant Design Vue

Scope of work:

• Development SIT/UAT support Implement micro services and enhancements Production support, bug fixes, and enhancements
• Support application minor/major upgrade and hardware refresh including sanity test and regression test from system patching and minor/major upgrade

As a Mid-Level Business Analyst, you will be responsible for analyzing business requirements, designing and implementing Workday data mapping and conversion solutions. You will work closely with the project team to ensure successful delivery of the project.

• Serve as the primary knowledge source for converting data from legacy systems and spreadsheets into the Workday Cloud HCM
• Converting Data into Workday using Workday provided loading tools
• Lead in the validation of data loaded into Workday
• Responsible for assisting clients in mapping legacy data, identifying data quality issues and overall responsibility over conversion activates on the project
• Responsible for key communication to project and client leadership
• Collaborate with project team to ensure successful delivery of the project
• Conduct rigorous testing and troubleshooting to optimize the performance of Workday data mapping and conversion solutions.

• 5 Years experience Java (Core & Enterprise) Java Application Servers (Tomcat & WebLogic)

• .NET Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services Well versed in Windows, Linux and/or Unix scripting Azure integration IIS Oracle database (Core DB &PL/SQL), MSSQL Good grasp on security fundamentals/PKI .

• Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct, Ant Design Vue Scope of work: Development SIT/UAT support Implement micro services and enhancements Production support, bug fixes, and enhancements.

• Support application minor/major upgrade and hardware refresh including sanity test and regression test from system patching and minor/major upgrade.