Total 3,998 data entry clerk job vacancies in Information Technology category in Singapore

As a Data engineer, you will be a part of a highly qualified team, leading the delivery of modern data platforms using Azure Services and Databricks.

· Designing and delivering software using an agile and iterative approach based on Scrum or Kanban

· Following and contributing to improvement of client's software engineering practices e.g., source code management, test-driven development, automated testing, CI/CD

· Supporting the Lead Data Engineer in technical architecture and design

· Building an understanding of how data is used within client's commercial activity, and using this knowledge when working with Business Analysts or users to identify system requirements

· Analyzing and estimating IT changes giving input on technical opportunities, constraints, and trade-offs

· Creating documentation and presenting to technical and non-technical audiences

· Providing handover to Support teams and providing third line support for short periods after releases

· Owning their own learning so that they remain a technical subject matter expert.

Technical Skills

· Having solid experience in data modeling, data warehousing, SQL Server database design and development (SQL, relational and dimensional modelling) Analytical querying using technologies such as SSAS cubes or columnar data stores, Python.

· ETL tools such as SSIS, Alteryx, Azure Data Factory

· Building data pipelines using code e.g. Pyspark

· Modern cloud-based data architectures and technologies such as Data Lake, Delta Lake, Data Lakehouse e.g. Azure Data Lake Gen 2, Azure Delta Lake Lakehouse architecture using Databricks, Hudi or Iceberg

· NoSQL using CosmosDB, MongoDB, DynamoDB etc.

· Python scripting, including data engineering and machine learning libraries

· Scripting languages such as Powershell, bash, DAX, M-language etc. (Note - We primarily use SQL, Pyspark and Python in our day-to-day work along with some coding around DAX, Bash, Powershell and other scripting languages. )

· Distributed computing mainly around Spark § Big data files formats e.g. Parquet, Avro, ORC etc.

· Big data technologies such as Hadoop, Hive, Map-Reduce, Partition design, performance tuning in Spark etc.

· Reporting and visualisation tools such as SSRS, Tableau, Power BI or Excel

Your Responsibilites as HSSE Data and Reporting Analyst

• Skilled in using SJI emission work-files, water balance charts and accounting files and monitoring plans.
• Knowledgeable in data and reporting systems and familiarity i.e. Work place Environmental Reporting System (SERS), Business Objects (BO), Spotfire, Power BI, GSAP, PI Process book etc.
• Knowledgeable in O&G Standards (i.e. API Compendium, GRI)
• Knowledgeable in local regulatory requirements under local authorities (i.e. PUB and NEA)
• Familiarity with HSSE & SP Control Framework and Manuals, specifically client's PMR and GHGEMP requirements
• Excellent data management skills and ability to integrate data across different platforms
• Ability to work under pressure to meet deadlines with a crowded and often changing business agenda.
• High level of accuracy in work product, attention to detail
• Mindset and ability to develop relationships across multiple departmental boundaries within SJI.
• Necessary to work additional hours and provide extended coverage during key reporting periods.
• Enterprise first and standardization/simplification mindset
• Working knowledge and experience of HSSE Management
• Strong English language communication skills (oral and written)
• Organizational & time management skills
• Strong Microsoft Office skills including Powerpoint, Excel, Word.

Career exposure into government organization!

Good start for your career advancement!

6 months contract, extendable and convertible based on performance and project requirement

Monday - Friday, Central location

Job responsibilities:

• Plan, coordinate and launch surveys, ensuring they are completed with a high response rate and in a timely manner
• Provide regular updates of survey progress and survey statistics to senior management
• Conduct after-action reviews to improve processes and propose new initiatives
• Provide constant guidance and advice to survey supervisors and interviewers to ensure that the survey is conducted in a timely and reliable manner
• Coordinate with survey team to provide solution for escalated cases
• Multitask and prioritize due to the dynamics of the organization landscape and business needs
• Develop a detailed reporting/tracking plan
• Any other ad-hoc duties

Requirements

• Qualification: Degree holder
• Ability to plan ahead and strategize
• Good communication skills
• Able to work independently, but also with various stakeholders
• Strong analytical skills, technically driven, problem solver, results-oriented
• Having experience in project management
• Programming/Coding knowledge is a plus (R, Python or SQL)
• Good system knowledge in Microsoft Excel, PowerPoint, V-look up, Pivot table, Excel filter

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1766716 (Ng Yi Ling)

Responsibilities:

• Design & Architecture: You help to design and implement an optimal data pipeline architecture for the analytics system. Identify, design, and implement improvements to automate manual processes, optimize speed and efficiency of data delivery, architecting and designing for high availability, scaling, and reliability. Architect and design infrastructure to facilitate data extraction, transformation, export, and query of data from a variety of data sources, both internal and external, both small and large.
• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decision-making at all levels of the organization.
• Massive data: You will source / examine, analyze, engineer data pipelines for gigabytes/terabytes of structured and unstructured data with our platform to create value for customers. You will also be working with Enterprise data.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Production deployment: You will be responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life.
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company’s data and analytics needs.
• Educate, train, and mentor members of the Data Engineering and Analytics teams in the design, implementation, and usage of modern data systems.

Requirements:

• At least a Bachelor’s in Information Technology / Computer Science, or related degree
• At least 5 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
• Strong proficiency in data visualization tools to create compelling data visualizations and reports.
• Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
• Familiarity with cloud-based data platforms.
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud is a plus.
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.

Mandatory Skills

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

Note: Proficiency in Spark SQL is mandatory. Experience with Avaloq data is preferred

Data Center Resident Engineer (One year contract – Renewable, Extendable, Central location)

Job Posting under Sheralynn Tjioe, Head of Interim and Contracting Solutions (Technology) at Kerry Consulting

Email: [email protected]

Description
My firm is currently hiring a Data Center Resident Engineer for our client who is a leading Technology MNC to work on-site at a datacenter under a telecommunication conglomerate. You will undertake the role of maintaining and managing the lifecycle of the computer hardware.

Responsibilities
You will be responsible for IMAC (Installation, Move (within the same DC), Add & Change activities

Carry out preventive maintenance and perform periodic firmware update where applicable.

Participate in the maintenance of the data center, inspections, troubleshooting of computer hardware.

Skills and experiences required

· At least 2-3 years of relevant working experience as a resident engineer at a Datacentre

· Relevant working experience with Computer hardware such as ProLiant, Synergy Blades

· Having knowledge of Azure HCI is an advantage

The Resident Engineer (RE) operates within the following time frame:

Onsite hours: Monday to Friday, from 9 am to 5 pm, excluding weekends and local public holidays.

Additional charges may apply for overtime, travel, and allowances beyond the specified working hours mentioned above.

For your next career, feel free to get in touch with me at [email protected].

Reg: R1878306 Lic: 16S8060

Job Scope

• Work on the entire data production by implementing data ingestion pipelines (from multiple sources and in different formats), storage, transformation, then their provision: datamarts, cube, reports, datasets to feed models scoring (data science), API, mainly using Dataiku and Google BigQuery
• Ensure that the integration pipelines are designed in a manner consistent with the overall data framework in collaboration with the HQ’s data tech lead and according to best practices/ define framework
• Be part of a continuous improvement approach by optimizing and reusing existing assets for streamline.
• Take part in data integration processing aspects of data quality controls, monitoring, alerting and technical documentation, as well as data management (data models and mapping, data documentation, repositories, description of the transformations applied, etc.)
• Acquire a good understanding and analysis of business challenges and be able to translate the needs into the design of concrete technical solutions and gradually extend the functionalities and scope of our data platform based on Google cloud platform and Dataiku.
• Provide reliable estimates of workloads and planning according to the level of complexity and other activities to allow a good coordination of the activities of the team.
• Perform unit development tests and support business users in their tests before final validation.
• Contribute to the design and management of the data model, as well as to the orientations in terms of the architecture of our data platform (repositories, APIs, etc.)
• Set up pipeline monitoring and monitoring of the data platform and APIs (from a functional point of view and data quality)
• Analyze incidents, points of weakness and support requests related to the use of the data platform or APIs
• Provide timely and accurate support to the business teams on issues
• Propose improvements to optimize the data platform (optimization of existing processes, data restructuring, factorization, etc.)

Requirements:

• Bachelor’s degree in Management, Computer Science or related field
• Language spoken English (French is a plus)
• Minimum of 3 years’ experience in IT development roles such as data integration on Google Cloud & Dataiku or similar cloud services
• Mastery of the data stack components in Google Cloud Platform (certifications appreciated) including but not limited to: Google Big Query (nested fields, partitioning, merge SQL, authorized views, RLS), Cloud storage, Cloud functions, Cloud composer, Google Firestore, Google data catalog or similar services of other cloud services.

Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd | RCB No. 200007268E | EA License No. 01C4394 | Reg. R21100696 | Agnes Goh Li Er

My asset managment client is looking for a reference data operations manager to join their team. If keen kindly share your updated resume to [email protected]

KEY ACCOUNTABILITIES

The Data Operations team is responsible for providing data quality assurance for multiple datasets including pricing, securities and reference data, benchmarks, portfolios and fund.

The role sits in the Investment and Asset Data Support team, responsible for the stewardship and reporting of Asset data that resides in the Asset Data Store (ADS) and manage Data Quality exceptions in Data Management Platform (DMP) an ensuring the data is complete, consistent, fit for purpose and ready for consumption for all end users.

The daily review and validation of daily Security Master Reference data in internal DMP system and resolve exceptions in timely manner.

Resolution of exceptions to ensure data integrity.

Managing and monitoring controls to ensure data quality and consistency.

Resolving data issues highlighted as part of data validation process and manage escalations.

ASSET DATA REPORTING:

Perform monthly, quarterly, semi-annual, and annual reporting for Major Life client on monthly basis in timely manner.

Sourcing and onboarding of new market data required for reporting.

Ensure data used for Reporting is clean, validated and fit for reporting.

Work closely with stakeholders on reporting issues and resolve in timely manner without impact to reporting timelines.

Publish PowerBI reports to various stakeholders with clean data for reporting consumption.

Engage with IT Support and Development teams on the issues encountered during reporting cycle and resolve in timely manner.

ADDITIONAL RESPONSIBILITIES:

Continuous updates of standard operating procedures along with the new changes and projects

Identify and execute continuous process improvement and automation.

Support projects and ad-hoc queries

EXPERIENCE / QUALIFICATIONS

An excellent understanding of a wide range of tradable instruments

Strong analytical and communication skills

Data management experience in large banking institution especially financial services sector, preferably in Asset Management

Prior experience using investment platforms, like GoldenSource is desirable.

Knowledge of SQL, PowerBI, Python language skills is a plus.

Prior experience in doing asset data reporting for clients with Instrument Reference data and Positions.

Understanding of the data management governance frameworks

Working knowledge of data vendor systems such as Bloomberg, Reuters, S&P, etc.

Excellent customer focus and high level of accuracy, and attention to detail

Demonstrated ability to work collaboratively as part of the small team.

GENERAL CANDIDATE ATTRIBUTES

A deep understanding of asset management enterprise data, its associated processes, systems, controls and deliverables.

A strong ability to be hands on yet has a holistic strategic vision on data management.

A strong team player

A performance driven individual

Strong relationship management skills

Responsibilities

• Daily collection of trade images
• Ensure timely submission of images by the respective teams
• Translate all images collected into data according to 4Ps (Product, Price, Place, and Promotion)
• Maintain data entry requirements by following work procedures to ensure consistency and accuracy
• Maintain data base by entering new and update information
• Ensure that appropriate results and information has been achieved

Requirements

• Possess minimum GCE 'O' Level
• Minimum 1 year of data entry experience
• Proficient in Microsoft Excel and PowerPoint
• Excellent communication and interpersonal skills
• Detail oriented, proactive, and a good team player
• Able to work independently

[What you will be working on]

Responsibilities

• Obtain and review the consolidated data structure/s for programme/s and develop suitable analytic strategies to ensure the achievement of expected deliverables.
• Lead and conduct data analysis and data mapping, where appropriate, to identify any unusual trends, anomalies, behaviour etc.
• Conduct analytical review of the identified variances, trends, anomalies, behaviours etc.
• Conduct deep dive review into the identified trend and behaviour to further review for specific indications of non-compliances and/or potential suspected fraud.
• Develop suitable data review processes that can assist business divisions in the upstream early detection of potential issues in the grants administration and processing.
• Coordinate with relevant business divisions on referral cases of potential suspected fraud for further inquiry and investigations by IAU
• Timely management and maintenance of WSG blacklist listing

[What we are looking for]

Requirements

• Ability to review complex dataset and develop suitable data review strategies to achieve the objectives of data analysis deliverables
• Experienced in using analytical formulas and functions for MS Excel and other analytical tools, such as data visualization, as well as experience in simple data cleaning
• Experience and knowledge in conducting analytical review and/or business operation reviews is essential
• Critical thinking and problem-solving skills – ability to understand beyond the numbers and its implications
• Excellent communication & presentation skills and inter-personal skills to engage relevant stakeholders
• A team player with good inter-personal skills
• Driven, meticulous and able to multi-task and work independently
• Good system and processes development acumen. Knowledge related to financial and auditing concepts, accounting principles are an added advantage.
• Ability to lead and motivate team to achieve the set outcomes; inspire and guide teams to grow and mentor them

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

Position Type: Contract deputed to Client | Work Location: East

Responsibilities

1. Possess good knowledge of data centre operation tasks and duties.
2. Liaise with DC/Building landlord to ensure optimal operation of electricity, HVAC and monitoring environments within Mission Critical IT facilities in Data Centre and remote buildings.
3. Strong ability to support activities in data centre and computer rooms
4. Ensure data centre physical security procedures are followed strictly.
5. Prompt escalation of incidents following the standard incident response procedure & track till closure
6. To generate reports to management

Requirements

• Experience working in a high-pressured environment with 24x7 on-call responsibilities
• Strong understanding of incident, problem and change management procedures based on ITIL best practices
• Experienced in supporting Data Centre vendors, out-sourcing vendors.
• Ability to multi-task and proficient in Microsoft Office applications; Excel & PowerPoint
• Good written and verbal communication skills
• Highly motivated and self-driven
• An analytical and inquiring mind to derive innovative solutions.
• Ability to work independently and in a team
• Must have experience working in data centre operations in financial institutions.
• Familiarity with equipment requirements in Data Centre such as storage, servers and networking equipment such as routers, switches is a plus.
• Familiar with Structured Cabling system and its related components.

Almira | Recruitment Consultant

Email: [email protected]| Office Telephone: +65 64299403

EA Personnel Registration Number: R22111126

Singapore Employment Agency Licence No: 11C337

My client is a Singapore-based proprietary trading company. They are looking for a Data Engineer with 2-5years of working experience.

Responsibilities:

• Implement, monitor, and maintain data pipelines for market, transaction, reference, and other data.
• Perform necessary data cleansing and transformation to enhance data quality.
• Collaborate with traders and researchers for efficient data consumption and analysis.
• Deploy new data models for insightful and actionable analytics across the firm.
• Manage the entire data processing system and advise on necessary infrastructure changes.

Attributes:

• Clear thinking, quick learning, problem-solving ability, and adept at working independently.
• Effective communication and a propensity for asking insightful questions.
• Development experience in multiple programming languages, preferably diverse types (e.g., strongly versus dynamically typed, functional versus object-oriented).
• Familiarity with software development practices and excellent teamwork skills.
• Experience with databases and SQL.
• Proficiency in stream processing.

Overview

Drives Data and Artificial Intelligence consumption with new and existing customers. Identifies market and customer needs and collaborates with internal teams to devise solutions to meet those needs. Orchestrates deals across multiple stakeholder groups including partners. Positions Microsoft solutions in competitive landscape through research and collaboration. Utilizes industry expertise to differentiate Microsoft solutions. Develops and manages pipeline for territory and forecasts resource needs. Meets with customers on site to deepen relationships and solution development.

Responsibilities

Sales Execution

· Brings impactful industry insights into customer engagements and closes deals with customers. Acts as a thought leader across solution areas to advise customers across business functions on digital transformation. Leads virtual transformational shifts to drive deployment and create business value for customers. May lead partner integration into account/territory planning and customer engagements. Provides thought leadership.

· Orchestrates with team members on conducting personal campaigns to discover new opportunities and generate new leads. Lads conversations with strategic/high-potential customers (e.g., high budget, global account, highly competitive) along with account teams or partners. Facilitates the account team unit (ATU) and/or Specialist Team Unit (STU) to build pipeline in collaboration with partners and services. Guides others on social selling. Applies Microsoft's sales process (MSP) to determine the quality of the opportunity and whether to proceed, and educate the customers on how to best address their needs.

· Drives consumption and grow business with existing strategic customers by initiating conversations, guiding others on demos or quotes, and the collaboration with partners or internal teams (e.g., Technical Sales Professionals, Global Black Belts). For licensing transactions and project engagements, ensures rapid and robust deployment plan at point of sale that is validated by services and partners. Drives advanced workloads and usage.

· Explores and assesses the needs of strategic/high-potential customers. Articulates business value and long-term implications for customer business. Collaborates with internal teams, partners, and services to lead the proposal or development of solutions that align with customer and Microsoft priorities. Analyzes market trends to identify opportunities for new solutions.

. Proactively builds and governs external stakeholder network and leverages internal partners to engage external stakeholders. Acts as a thought leader and subject matter advisor to the executive-level business decision makers at the customer's/partner's business. Guides others on identifying and engaging decision makers and stakeholders to expand the relationship with customers/partners.

· Develops strategies for driving and closing strategic and/or prioritized opportunities. Collaborates with account teams to ensure alignment with the account strategy and plan. Leads deal execution with the deal teams across the organization. Coaches others on the implementation of close plans (e.g., how to map timeline, engage the customer, get customer buy-in and commitment) to de-risk and drive predictable deal closure.

Scaling and Collaboration

· Leads the planning and execution on opportunities with resources and partners to cross-sell and up-sell. Identifies, leverages, and coordinates partners and resources across solution areas. Validates partner solution relevance for customers. Provides input and feedback to One Commercial Partner (OCP) on developing partner strategies and connects the partner ecosystems to scale business results.

· Leads the sales orchestration with internal stakeholders and partners (e.g., Enterprise Operating Unit). Applies a holistic approach to build network across territories. Positions opportunities to promote collaboration and participation.

Technical Expertise

· Leads conversations and sets up events within Microsoft. Mentors others and develops strategies for best practice sharing across subsidiaries. Contributes ideas that can be instituted across Microsoft.

· Posts information or speaks at external events, drives conversations with prospective customers/partners as a thought leader across solution areas.

· Leverages and shares competitor knowledge across solution areas as a subject matter expert to inform decisions on pursuit or withdrawal. Collaborates with the 'compete' global black belts (GBB) to proactively provide analysis of the competitive landscape in supported solution area. Leads the communication to provide feedback to other teams (e.g., sales, marketing, engineering) on future product trends or sales blocker.

Sales Excellence

· Builds and transforms new markets by leveraging technical and industry expertise, partners, and resources. Leads a team to explore business and emerging opportunities to optimize the portfolio and facilitate customer innovation.

· Reviews feedback report and sets long-term strategies aimed at maintaining levels of client satisfaction. Coaches others on ensuring customer/partner satisfaction and decreasing dissatisfaction by establishing recovery action plans to improve clients' overall experience. Manages and/or orchestrates sales and delivery success through the account team and pursuit team.

· Engages with internal and external stakeholders on business planning, Rhythm of Business (ROB) meetings to review and plan for strategic accounts across territories.

· Collaborates with extended sales team, partners, and marketing to lead business analysis (e.g., whitespace analysis, identify industry trends) to pursue high-potential customers and develop a target list of potential business. Acts as a thought leader and clears opinions and perspectives from business analysis.

· Manages the end-to-end business for strategic accounts across the organization. Leads forecasting for accounts and develops a portfolio and territory plan to drive intentional selling with on-strategy engagements in high propensity accounts. Mentors less experienced team members.

· Completes required training and obtains relevant product and role certifications aligned to the role and workload/industry. Proactively seeks training, including information that adds to the understanding of customers' business, and shares it with team members.

Embody Microsoft culture and values

Qualifications

Required/Minimum Qualifications

· 7+ years technology-related sales or account management experience

o OR Bachelor's Degree in Computer Science, Information Technology, Business Administration, or related field AND 6+ years technology-related sales or account management experience.

Additional or Preferred Qualifications

· 9+ years technology-related sales or account management experience

o OR Bachelor's Degree in Information Technology, or related field AND 8+ years technology-related sales or account management experience

o OR Master's Degree in Business Administration (i.e., MBA), Information Technology, or related field AND 5+ years technology-related sales or account management experience.

· 6+ years solution or services sales experience.

As a Senior Manager, Technical Solutions, you will be responsible for developing and managing technical solutions in Data Centre Engineering projects from inception to completion, developing pre-sales solutions by coordinating closely with the Commercial team and/or wider KDCH teams, and working with various investment stakeholders to assess feasibility of Pre-deals. You will work with both internal and external stakeholders to ensure that the job responsibilities are completed with a viable technical and budget proposals within time limits. You will coordinate with the Project Management team and provide Project Management inputs and considerations across your job responsibilities. You may be expected to travel for work to support your projects and customers when required.

• To be familiar with the design and construction of Data Centres, and working with knowledge of all technical disciplines, typical customer requirements and standard Basis of Design
• As the Mechanical Specialist of DC&N Technical Solutions team, to be responsible for constant review and update to the Basis of Design
• Execute the technical qualification, planning and development of technical solution for prospective deals as the Technical Solutions Head of Department shall direct. Manage and generate technical solution, project cost and planning structure for prospective deal engagements and investment approval
• Provide project scheduling and construction process assessment for all technical solutions, pre-projects, pre-deals and pre-sales solution, and perform necessary organization and handover documentations to the Project team for delivery, and provide necessary support and follow up where required
• Coordinate and obtain inputs from Technical Solutions, Project Management, Operations, Consultants, Contractors and vendors etc. to develop a viable Technical Solutions, Pre-Sales Solutions or Pre-Deal responses to various relevant stakeholders
• Work with Asset Owners, Sales and Commercial, Asset Management, and Investments Teams to determine the Project budget proposal with adjustments to the Overall Project Budget and Investments Returns, while ensuring coordination with the Project Construction Costs and Design
• Obtain proposals, select, and appoint consultants to develop design and cost estimate. Thereafter, manage selected consultant team for awarded scope of works
• Engagement with Statutory Authorities and Safety Matters
• Support project team to execute projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the inputs provided during the various technical solutions, pre-sales and pre-deal phases of work
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all technical related matters during pre-project and during engineering project execution
• Technical Solutions management and track progress of solutions development and project cost against the approved schedule during pre-project investment approval and design phases
• Technical solutions report including solution development and its corresponding risks and mitigation, compliance to the Customer and/or industry standards, project cost estimation and its corresponding validation and risks, etc. for investment approval
• Technical solutions and Pre-Sales support to project team during project execution
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from pre-project stage, project execution stage and support the project team for timely handover to Client, Asset Owner and Operation team respectively
• Any other scopes as directed by the Technical Solutions Head of Department

Job Requirements

• Master’s or Bachelor’s degree in Mechanical Engineering or equivalent
• Minimum 10 years of professional experience in Data Centre or equivalent design and construction work etc
• Good knowledge of variable design standards, including BICSI, TIA, Uptime Institute Tier Standard, etc
• Ability carry out technical solution discussions effectively with multi-function teams
• Good problem-solving, communication and interpersonal skills with high resilience and drive in achieving objectives and goals. High desire for innovation and learning
• Excellent verbal and written communications skills in English
• Relevant experience in a multi-cultural work environment fostering a climate of teamwork and collaboration

Job Description: Senior Data Engineer

Position Overview: We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The Senior Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our organization's data needs. The ideal candidate will have a strong background in data engineering, expertise in various data technologies, and a passion for building robust and efficient data solutions.

Key Responsibilities:

1. Design, develop, and maintain data pipelines and ETL processes to ingest, process, and transform large volumes of structured and unstructured data from multiple sources.
2. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and implement solutions that meet business needs.
3. Optimize and tune data pipelines and workflows for performance, scalability, and reliability.
4. Implement data governance processes and ensure data quality and integrity throughout the data lifecycle.
5. Design and maintain data warehouse and data lake architectures to store and organize data for analytics and reporting purposes.
6. Research and evaluate new technologies and tools to enhance our data infrastructure and capabilities.
7. Provide technical leadership and mentorship to junior members of the data engineering team.
8. Collaborate with infrastructure and DevOps teams to deploy and manage data solutions in cloud-based environments.
9. Develop and maintain documentation for data pipelines, systems, and processes.
10. Stay current with industry trends and best practices in data engineering and apply them to improve our data ecosystem.

Qualifications:

1. Bachelor's degree or higher in Computer Science, Engineering, or a related field.
2. X+ years of experience in data engineering, with a proven track record of designing and implementing complex data solutions.
3. Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink.
4. Strong experience with distributed data storage and processing technologies such as Hadoop, Apache Kafka, Apache HBase, or similar.
5. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services such as AWS EMR, S3, Glue, or Azure Data Factory.
6. Experience with SQL and relational databases (e.g., PostgreSQL, MySQL) as well as NoSQL databases (e.g., MongoDB, Cassandra).
7. Solid understanding of data modeling concepts and proficiency in designing efficient data schemas.
8. Excellent problem-solving skills and the ability to troubleshoot complex data issues.
9. Strong communication and collaboration skills, with the ability to work effectively in a team environment.
10. Experience with Agile development methodologies and tools like JIRA is a plus.

This job description outlines the primary responsibilities and qualifications for the Senior Data Engineer role. Candidates should possess a combination of technical expertise, analytical skills, and teamwork abilities to excel in this position.

Job Responsibilities

• Study, analyse and understand business requirements in context to business intelligence.
• Design and map data models to shift raw data into meaningful insights.
• Utilize Power BI to build interactive and visually appealing dashboards and reports.
• Ensure data is cleansed, mapped, transformed and otherwise optimised for storage and use according to business and technical requirements.
• Automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
• Build data pipelines to collectively bring together data.
• Design and implement written code.
• Test data from source to the presentation layer.
• Support and troubleshoot data pipelines.
• Other responsibilities include extracting data, troubleshooting and maintaining the reporting platform.

Job Requirements

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 5 years of experience in Data Analytics, Realtime data integration and Business Intelligence
• Experience in building and optimising ‘big data’ data pipelines, architectures, and datasets.
• Strong analytic skills related to working with unstructured datasets.
• Experience in Azure data integration tools e.g., Azure Synapse, Azure Data factory,
• Experience in Power BI report delivery.
• Knowledge in traditional ETL.
• Knowledge in financial sector technologies, products and services will be an advantage.
• Able to multi-task in a challenging technical environment to deliver high quality solutions.
• A meticulous team player who has proactive and positive attitude
• Excellent communication, interpersonal and presentation skills

To apply, please visit www.gmprecruit.com and search for Job Reference: 24076

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Job Responsibilities:

• Conduct regular patrols and inspections of the power supply and HVAC systems within the data center.
• Perform scheduled preventative maintenance tasks to ensure the optimal functioning of the data center infrastructure.
• Perform remote hands services include tasks such as securing cabling, checking port numbers, observing, or reporting indicators on equipment, rudimentary observation of the environment, and server reboots.
• Respond and deal with emergency events in daily operation.
• Manage and oversee the Building Management System (BMS), promptly addressing and responding to any generated alerts.
• Ability to respond to issues and provide timely update, and escalation.
• Handle routine alarms and faults of power supply and distribution devices and HVAC systems.
• Maintain & update the relevant operation records, maintenance records, accident handling records and shift handover records.
• Maintain the environment cleanliness and temperature and humidity.
• Manage the safety appliances and instrumentation tools.
• Provide escort to visitors/ technicians to the Data Center room and witness the works that been carried out in the Data Center room.
• Have experience with supporting Data Centre related change and incident tickets.
• Adept with coordinating with multiparty stakeholders.
• Ensure all the compliance of all regulatory laws and company guidelines are met.

Team Lead Additional Responsibilities:

• All duties mentioned above.
• Training:

1. Identify training needs and coordinate development opportunities for the team.
2. Provide Training and guidance on procedures and adherence to the client policy.
3. Assist in documenting new and undocumented procedures.

• Team Management:

1. People management and development.
2. Manages administrative (attendance and Leave) and performance of the team members.
3. Manage Team roster and update the schedule to the client system.
4. Motivate and inspire team members to achieve goals.
5. Guide team members in their daily tasks and responsibilities.
6. Foster positive communication and collaboration within the team.
7. Monitor and evaluate team performance.
8. Delegate tasks and ensure their timely completion.
9. Address and resolve conflicts within the team.
10. Conduct regular team meetings to communicate goals and expectations.
11. Implement and enforce company policies and procedures.
12. Ensure the proper use of resources and tools to optimize team productivity.
13. Develop and implement strategies to enhance team efficiency and effectiveness.
14. Address and mitigate potential risks that may impact team performance or project outcomes.

• Service Delivery:

1. Generate reports and fulfill audit requirement as well as Interface with the Client service manager regarding the same.
2. Monitor and keep track on the Daily Operations related tasks (including priorities & assign task to the team).

Requirements:

• Min of 2 years working experience in Data Center operations/ Data Center facilities maintenance. Candidate with more experiences will be considered for a senior position.
• Diploma or Degree in Computer science, IT systems, Electrical Engineering or any related field.
• Good understanding and hands-on experience on daily Data Center operations.
• Good level of understanding of Data Centre ecosystem e.g. power, cooling, temperature, humidity, fire prevention etc.
• Good level of experience in Capacity review e.g. rack assignment for equipment onboarding.
• Good level of experience in Physical Security operations (e.g Keys and access cards management, and Physical Access).
• Good level of experience in Rack and Stack.
• Good understanding and knowledge in data cabling, i.e. structured cabling, and patching is added advantage.
• Have experience with inventory management. i.e. Nlyte is added advantage.
• Proficient in Microsoft Office (Excel, Word and PowerPoint).
• Proficiency in English for communication with business partners.
• Proficiency in local languages is added advantage.
• Able to work rotating shifts, including weekends and public holidays.

Team Lead Additional Requirements:.

• Proven work experience as a team leader or supervisor.
• Ability to make sound decisions following approved procedures in a fast-paced environment.
• Ability to work Independently with Little supervision.
• Ability to manage tasks occurring simultaneously.
• Demonstrate Ownership taking, willing to learn and share knowledge.
• Good communication skills.

Schedule:

• Rotational shift
• Weekend jobs

Data Operations Manager – Investment and Asset Data Support (12 months contractor)

The Data Operations team is responsible for providing data quality assurance for multiple datasets including pricing, securities and reference data, benchmarks, portfolios and fund.

The role sits in the Investment and Asset Data Support team, responsible for the stewardship and reporting of Asset data that resides in the Asset Data Store (ADS) and manage Data Quality exceptions in Data Management Platform (DMP) an ensuring the data is complete, consistent, fit for purpose and ready for consumption for all end users.

• The daily review and validation of daily Security Master Reference data in internal DMP system and resolve exceptions in timely manner.
• Resolution of exceptions to ensure data integrity.
• Managing and monitoring controls to ensure data quality and consistency.
• Resolving data issues highlighted as part of data validation process and manage escalations.

ASSET DATA REPORTING:

• Perform monthly, quarterly, semi-annual, and annual reporting for Major Life client on monthly basis in timely manner.
• Sourcing and onboarding of new market data required for reporting.
• Ensure data used for Reporting is clean, validated and fit for reporting.
• Work closely with stakeholders on reporting issues and resolve in timely manner without impact to reporting timelines.
• Publish PowerBI reports to various stakeholders with clean data for reporting consumption.
• Engage with IT Support and Development teams on the issues encountered during reporting cycle and resolve in timely manner.

ADDITIONAL RESPONSIBILITIES:

• Continuous updates of standard operating procedures along with the new changes and projects
• Identify and execute continuous process improvement and automation.
• Support projects and ad-hoc queries

EXPERIENCE / QUALIFICATIONS

• An excellent understanding of a wide range of tradable instruments
• Strong analytical and communication skills
• Data management experience in large banking institution especially financial services sector, preferably in Asset Management
• Prior experience using investment platforms, like GoldenSource is desirable.
• Knowledge of SQL, PowerBI, Python language skills is a plus.
• Prior experience in doing asset data reporting for clients with Instrument Reference data and Positions.
• Understanding of the data management governance frameworks
• Working knowledge of data vendor systems such as Bloomberg, Reuters, S&P, etc.
• Excellent customer focus and high level of accuracy, and attention to detail
• Demonstrated ability to work collaboratively as part of the small team.

GENERAL CANDIDATE ATTRIBUTES

• A deep understanding of asset management enterprise data, its associated processes, systems, controls and deliverables.
• A strong ability to be hands on yet has a holistic strategic vision on data management.
• A strong team player
• A performance driven individual
• Strong relationship management skills

Company Reg No.: 201131609D | License No.: 11C4684 | Nadiah Marican

About ByteDance ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance sponsorship of a visa.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive.

This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About Global Payment

The Global Payment team of Bytedance provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on to ensure that our users have a smooth and secure payment experience on ByteDance platforms including TikTok.

The Data Intelligence team in Global Payment leads the efforts of discovering data-driven business values for Global Payment, by collecting, visualising and mining generated data from the pipeline of whole Global Payment system. The outcomes include optimising the key business metrics, improving Global Payment products and user experiences, risk management through data intelligence, predicting the trends from historical data, etc.

Responsibilities:

1. Responsible for supporting analysis requirements for Global Payment, such as ad-hoc analysis report, dashboards building, data tracking design, etc;

2. Use data-driven techniques to find weaknesses in payment products and implement improvements proactively; 3. Build data products to provide our customers with data insights and best practices in the Payments domain;

4. Cooperate with Products and Operation teams to define system requirements, build data products, improve and roll-out product features to support business.

Qualifications

1. Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors;

2. Proficient in SQL, familiar with C ++/Java/Golang is preferred;

3. Proficient in big data platforms such as Hive/ Spark;

4. Strong data analysis capabilities;

5. Experience in supporting and optimising business needs with data analysis

Preferred Qualification:

- Minimum 3 years relevant work experience from a large-scale internet business.

- Background in internet companies or payments is preferred;

- Strong interest in Data Analysis, Data Mining is preferred；

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Oversee building and data centre facilities components, including Building Management System, Fire Detection and Protection systems, Energy Management System, Chiller, Electrical
• Conduct troubleshooting and maintenance of facility equipment
• Manage contracts for facilities and equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Responds to emergency and be on 24x7 standby
• Oversee new data centre projects including renovation and maintenance
• Responsible for site inspections / audits by authorities
• Scheduling and tracking of servicing jobs and vendor management

Requirements

• Educational qualification in Electrical / Mechanical Engineering or equivalent
• At least 1 – 2 years’ relevant experience in DC facility management and vendor management

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Our telegram channel for job opportunities - https://t.me/jobopportunitiessg


Interested Applicants
Please WA Bryan Tay @ 97559161
Shortlisted Candidates will be notified

Bryan Tay Reg No. R23112463
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Job Responsibilities:

• Provide exceptional customer success services for enterprise clients, fostering mutual trust and collaborative relationships. Aid enterprise clients in deriving business value and success from cloud service platform solutions.
• Develop a profound understanding of data governance products and application scenarios. Accurately assess the perspectives of various stakeholders, including customers and partners, to effectively guide solutions.
• Master data governance products extensively. Assist clients in constructing solutions tailored to their requirements.
• Support the development and replication of platform product projects, contributing to the business success of platform products.

Skill Requirements:

• Demonstrate experience in planning, designing, and implementing projects within cloud services and artificial intelligence.
• Possess substantial expertise in solution design, including customer research, business model analysis, solution documentation, and effective communication and collaboration skills.
• Accumulate over 5 years of IT-related work experience in relevant industries. Exhibit a strong inclination for innovation, fast learning, and eagerness to engage in forward-looking initiatives.
• Preferred experience in data analysis, data modeling, data mining, and business insight projects.

Knowledge Requirements:

• Familiarity with any of the following business domains: cloud computing, big data, artificial intelligence, machine learning, and Internet of Things (IoT).
• Knowledge of operating within specific industries or background knowledge of related industries is advantageous.

Interested candidate who wish to apply for the advertised position, please click on “Apply Now”. We regret that only shortlisted candidates will be notified.

Job Code: PEIF
EA License No. 01C4394

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and it’s overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

Responsibilities:

• Overseeing data projects, operations and initiatives regionally in both Commercial and Medical areas
• Overseeing analytics operations in the region in alignment with global data operations/engineering teams
• To be able to support and partner in country data operations and engineering leads, specifically China, Japan & Canada
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• Lead/participate technical discussion forums with global, regional and country counterparts
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work
• Oversee region data security and compliance
• Manage relationships with Technology heads from each countries, including business and commercial teams and global support teams

Requirements:

• Bachelor Computer Science / Computer Engineering, or equivalent experience.
• At least 10 years of established experience in a relevant technology role, especially in data management and data tools build capability (MSFT Power Platform)
• Knowledge in commercial operations/excellence, field force effectiveness
• Knowledge of AI/ML, Gen AI
• Strong stakeholder’s engagement and management skills are important to work across all cross functional teams
• Clear and influential communication skills with the ability to work effectively with both internal and external stakeholders.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24078

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

Responsibilities:

• Responsible for data preparation, data mining, to create/identify opportunities through analytics
• Conduct exploratory data analysis and provide rapid iterations of analysis to refine problem and identify potential solutions
• Assemble large, complex data sets from a wide variety of data sources
• Interpret and communicate analytical findings and insights to technical and non-technical stakeholders in order to assist in making data-driven decisions
• Contribute to the development of data science infrastructure, tools, and frameworks for efficient data analysis, experimentation, and model deployment
• Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards

Requirements:

• Master’s / Bachelor’s Degree in a quantitative discipline (e.g., Statistics, Biomedical Informatics, Computer Science, Applied Mathematics, or similar)
• 3 years of relevant experiences in data analytics and governance
• Demonstrated experience with Python, R, or similar programming languages
• Working knowledge of data analysis tools and databases
• Strong analytical skills, with experience solving problems using data and providing practical business insights
• Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders
• Experienced in Public Health / Pharmaceutical industry is advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: 24106

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

The Job:

• Manage different sets of data. Perform analysis by interpreting data, identifying trends and patterns and come up with a plan/solution for improvement.
• Prepare reports for management
• Perform administrative duties such as data entry, submit subsidiary/vendor claims, payment collection, incentives and other tasks as assigned by superior
• Maintain data files
• Perform warranty validation

The Requirements:

• Min Diploma/ Degree with min 2-3 years of relevant working experience
• Proficient in MS Office
• Good communication and interpersonal skills

Interested applicants can send their detailed resumes to [email protected] or call JANE @ 67351955.

CEI: R1104482

JANE LUI JIE'EN

Company Reg. No.:199601303W | EA No. 99C4599

Responsibilities

• ● Apply expertise in statistical modelling, causal inference, and Bayesian methods to analyse large-scale and complex datasets, uncovering valuable insights and patterns
• ● Design and implement experiments, including A/B tests, to measure the impact of different strategies, initiatives, and product changes on user behaviour and business outcomes
• ● Develop predictive models and machine learning algorithms to identify key drivers of user behaviour, optimise acquisition and retention strategies, and inform decision-making
• ● Forecast customer lifetime value to support growth strategies, customer segmentation, and retention initiatives
• ● Utilise advanced statistical techniques, such as causal models, to understand the impact of different variables on user behaviour and inform growth strategies
• ● Implement robust MLOps pipelines to automate deployment, monitoring, and maintenance of models in production environments
• ● Evaluations of deployed ML models to identify improvement opportunities, and implement updates and enhancements that respond effectively to evolving data patterns and business requirements
• ● Effectively communicate complex findings and insights to both technical and non-technical stakeholders through clear visualisations, reports, and presentations
• ● Stay up-to-date with the latest advancements in statistical modelling, machine learning and causal inference techniques, applying them to drive continuous improvement in our growth initiatives

Requirements

• ● Bachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field
• ● 3-5+ years of working experience in Data Science, algorithmic engineering, or machine learning
• ● Strong technical aptitude, combined with hands-on data mining and machine learning application experience on extremely large datasets
• ● Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice
• ● Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems
• ● Demonstrated technical leadership and self-direction. Willingness to both teach others and learn new techniques
• ● Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges