Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Role: Data Centre Operator

Work Location: Sim Ming

Shift Job: Yes, 12 hours Shift - Rotating shifts work 2 days off 2 days

Shift Schedule: Day shift 8.00am to 8.00pm & Night shift 8.00pm to 8.00am

Benefits:

*Fixed Basic Salary: $2,400 to $2,800 per month

*Shift Allowance: Yes

*Annual Leave: 10 days

*Medical Leave: 14 days

*Health Insurance

Job Description:

Critical responsibilities:

• To ensure all the task is completed
• To ensure all the system is well taken care and monitor,
• To ensure all back up is executed.
• to ensure all batch job is executed.

General Responsibilities:

• Monitor Server and application health.
• Batch job & monitoring
• Backup job & Monitoring
• Escalation and alert notification.
• Escort DC visitor.
• Support Building management maintenance, e.g. power maintenance, Aircon
• Support security advisories,
• Remote monitoring service,
• Support DR activity.
• Support and execute task assign by the Project manager.
• Printing service management.

Data Engineer - Talend ETL

• Required skills:
• Experience with Talend, Python and Spark
• Experience in Database and Hadoop (Hive, Impala, HDFS)
• Understanding of data-warehousing and data-modelling techniques
• Using the Talend ETL toolset, to create new and maintain existing ETL jobs.
• Design and implement ETL for extracting and transforming data from diverse sources, such as: Cloudera, PostgreSQL, and SQL Server databases.
• Design and develop database tables necessary along with the necessary constraints as per the requirement.
• Collaborate with Team members to understand source system structures and data retrieval methods/techniques, and tools within the organization.
• Support the development of data transformation logic using ETL tools or scripting languages like SQL, Python.
• Clean, validate, and transform data to conform to target schema and quality standards.
• Work with the Team to execute data quality improvement plans.
• Participate in troubleshooting activities to maintain data integrity and process efficiency.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

• To assist in report preparation and administrative works
• Setup and maintain controls and document procedures
• Check the quality of data entry by field geologist/ site supervisors and report any errors to the Project Manager/Geologist for rectification
• To prepare and compile data for report submission
• To assist and support Project Managers in their respective project works
• To maintain an inventory of test inspection and measuring equipment
• Any other ad-hoc duties assigned

Upstream Data & AI Manager

Work Location: Singapore

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities.

What will you do?

· As an AI Strategy Practitioner, you will apply industry and AI expertise to build data and AI strategy, business case and roadmap to identify AI value opportunities across the business value chain.

· You will create a Data & AI platform and capabilities blueprint, target operating model including implications for larger talent strategy.

· You are expected to be an SME, collaborate and manage the team to perform. You will be responsible for team decisions and will engage with multiple teams and contribute on key decisions.

· Additionally, you are expected to provide solutions to problems that apply across multiple teams.

· Architect and implement infrastructure for large scale training and inference of Gen AI models

· Architect and implement infrastructure for large scale Gen AI application development and operations

· Optimize infrastructure for performance, cost, consumption, and scale

· Evaluate AI infrastructure options

· Advise on technology and vendor selection

· Architect and design operational controls for Gen AI platform and infrastructure

· Architect and implement observability solutions for Gen AI platform and infrastructure and associated control towers

Job Qualifications

· As an AI Strategy Practitioner, you will apply industry and AI expertise to build data and AI strategy, business case and roadmap to identify AI value opportunities across the business value chain.

· You will create a Data & AI platform and capabilities blueprint, target operating model including implications for larger talent strategy.

· You are expected to be an SME, collaborate and manage the team to perform. You will be responsible for team decisions and will engage with multiple teams and contribute on key decisions.

· Additionally, you are expected to provide solutions to problems that apply across multiple teams.

· Architect and implement infrastructure for large scale training and inference of Gen AI models

· Architect and implement infrastructure for large scale Gen AI application development and operations

· Optimize infrastructure for performance, cost, consumption, and scale

· Evaluate AI infrastructure options

· Advise on technology and vendor selection

· Architect and design operational controls for Gen AI platform and infrastructure

· Architect and implement observability solutions for Gen AI platform and infrastructure and associated control towers

All our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You’ll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes -Working in the financial or banking industry & Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in - Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in- Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment,often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in -Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in - Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Work in an Agile environment, practicing Continuous Integration and Delivery (CI/CD).

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, and AWS Lambda.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Familiarity with cloud technologies (AWS, Azure, Google Cloud).
• Knowledge of system design, data structures, and algorithms.
• Proficiency in scripting languages (e.g., SQL, Python).

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and consolidate data silos in a scalable and compliant manner.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Participate in pair programming and code reviews with fellow developers.

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, and ECS Container tasks.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Experience with cloud technologies (AWS, Azure, Google Cloud).
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka).
• Proficiency in scripting languages (e.g., SQL, Python).

Position Summary/Overview:

• The Data Center Operation technician has overall responsibility to support the troubleshooting and coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Responsibilities

• Design and develop smart manufacturing and AI solutions in advanced factory scheduling, optimization and simulation that enable the achievement of industry leading manufacturing capability.
• Develop high-quality data analytics and applications that provides actionable insights for management and manufacturing teams.
• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.
• Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics.
• Drive global collaboration, alignment, and benchmarking of scheduling and simulation solutions.

Requirements

• Possess a drive to make a difference and a passion for exploring new frontiers.
• Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with diverse teams.
• Strong problem-solving skills with logical approach.
• Masters/Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Computer Engineering, Data Science, other technical disciplines, or equivalent professional work experience.
• Proficient in C#, Python and SQL.
• Knowledge and experience in optimization and CPLEX/Gurobi strongly preferred.
• Knowledge and experience in reinforcement learning, machine learning and deep learning preferred.
• Direct experience with factory scheduling, simulation, and application development preferred.
• Knowledge and experience with GCP, Snowflake, Visual studio, GIT, Azure DevOps preferred.
• Able and willing to travel overseas

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

Responsibilities:

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Requirement:

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Python development.
• Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in:
• Unix shell scripting.
• SQL development.
• 2–3 years of experience in Spark programming.
• Bachelor in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject,

Senior Data Engineer

Institution: National Healthcare Group
Family Group: Administration

The Senior Data Engineer leads the creation, maintenance, and strategic development of our advanced data analytics infrastructure, which is vital to the hospital's data-driven decision-making processes. This role oversees the acquisition, storage, retrieval, and optimization of data from various sources to support clinical, operational, and research initiatives. The position directly supports the work of the Group Chief Data Officer (GCDO) for Data Analytics and provides leadership to the data engineering team.

Leadership and Management:

• Lead and mentor a team of data engineers, fostering their professional growth and ensuring high-quality deliverables.

• Develop and implement best practices, standards, and architectural decisions for data engineering processes.

• Collaborate with cross-functional leadership to align data engineering strategies with organizational goals.

• Drive innovation in data engineering practices and technologies within the organization.

Strategic Planning and Execution:

• Develop and execute the long-term vision for the data engineering function, aligning with the institution's overall data strategy.

• Identify opportunities for process improvements and automation to enhance team efficiency and data quality.

• Manage resource allocation and capacity planning for data engineering projects.

Data Sourcing and Collection:

• Oversee the identification and evaluation of source systems.

• Guide the team in gathering requirements on frequency, volume, and types of data.

• Ensure robust data privacy and compliance measures are in place, liaising with legal and compliance teams as necessary.

Data Ingestion and Architecture:

• Lead the design and implementation of scalable, efficient data ingestion pipelines using Informatica IDMC, Spark, and Python.

• Establish architectural standards for reliability and fault tolerance of ingestion pipelines.

• Oversee data transformation strategies during ingestion.

• Manage vendor relationships and collaborations for data ingestion projects.

Data Lake Management and Integration:

• Direct the structuring of data in the DataBricks Lakehouse to ensure optimal usability and performance.

• Oversee data partitioning, indexing, and archival strategies.

• Lead integration efforts with DataBricks Lakehouse, ensuring seamless accessibility for data scientists and analysts.

Data Quality, Validation, and Security:

• Establish comprehensive data quality frameworks and validation protocols.

• Implement and oversee security measures, including access controls, data encryption, and regular audits.

• Collaborate with compliance officers to ensure adherence to healthcare data regulations.

Performance Management and Optimization:

• Set and monitor KPIs for data ingestion pipeline performance.

• Lead optimization efforts to meet and exceed SLAs.

• Conduct regular performance reviews and implement improvement strategies.

Strategic Collaboration and Communication:

• Serve as the primary liaison between the data engineering team and other departments, including data science, business analytics, and IT.

• Present data engineering strategies, progress, and challenges to senior management.

• Foster a culture of knowledge sharing and continuous learning within the team.

Qualifications:

• 8+ years of experience in data engineering, with at least 3 years in a leadership role.

• Strong technical expertise in data engineering tools and technologies, including Informatica IDMC, Spark, Python, and DataBricks.

• Excellent communication and interpersonal skills, with the ability to influence and collaborate across all levels of the organization.

Nice to Have:

• Proven track record of successfully leading data engineering projects in a healthcare setting.

• Advanced knowledge of healthcare data standards, privacy regulations, and compliance requirements

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Quality Engineer/Analyst

Internal Code: A24122

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.

Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

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Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

JOB SUMMARY

• In Standard Chartered Bank’s Corporate & Investment Bank (CIB), we aim to be digital-first and data-driven, delivering enhanced client experiences, driving new wallet share and realizing untapped client value and market opportunities.
• Part of Transaction Banking (TB) Digital Channel Solutions, we are building a complete end-to-end, digital-first client journey from onboarding, transacting to servicing and reporting. We are passionate about developing and delivering Best in Class digital client experience through consistent, well designed, contextual user journeys across all our client touchpoints such as the web and mobile.
• The role Director, TB Data Analytics is part of Digital Channel Solutions team based in Singapore. Our Straight2Bank digital platform serves our global clients across our 45+ footprint markets. You will be responsible for data solutions to enable our Transaction Banking business, operations and technology teams, execute on it through disciplined product development, laser-focussed on delivery and time-to-market. You will collaborate with a cross-functional team of product managers, designers, engineers, and other stakeholders to deliver data analytics solutions to external clients via Straight2Bank, as well as to internal Transaction Banking business teams.
• This role reports to the Global Head, CCIB Digital Platforms and Products. We are building big data solutions for datasets in channels, payments, collections and clearing business where we have millions of transactions daily.
• The role requires close partnership with Product and Sales teams, Operations and Technology, and risk owners such as legal and compliance globally.
• To be successful, you will internalise complex information about products and services to make them understandable to real humans and manage delivery of these features under the agile framework.
• The role would be suited to a candidate having experience in data analytics, data engineering, and focussed on delivery of solutions that help business take decisions fast.
• Proven track record in building and deploying analytics solutions in Banking or Financial Services that have created significant value for customers and additional revenue based on new business models.
• Numerate and strong in data analytics and modelling using statistical methods and algorithms, including regression, classification, and clustering.
• Since this role is fully focused on solving problems for customers and business alike, it requires empathy and business understanding in equal parts.

RESPONSIBILITIES

Strategy

• Partner with the Analytics Consumers (i.e., Product, Sales Ops, CSG) and Data Product Leaders and Executive Leadership to ensure solutions alignment business and Go-To-Market (GTM) priorities.
• Influence a data-driven goal and direction for technology, solutions and use case priortisation.
• Understand the use cases (roles, personas, pain points) to drive data strategy and product vision in alignment with Business Stakeholder needs and Bank’s overall data strategy.
• Create a single, prioritized backlog to ensure data engineering / tech resources are deployed to solve right problems and enable trade off discussions.
• Collaborate with Product Leadership and technology teams to gather and synthesize user feedback, driving product improvements and removing barriers to business generation.

Business

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Engage with stakeholders to gather business needs, translate them into technical solutions, and lead the prioritization of deliveries in alignment with business goals.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products.
• Collaborate with Data Engineers to ensure the data architecture supports business needs and work with Data Analysts to deliver actionable insights that can be effectively utilized by stakeholders.
• Build and automate intuitive dashboards that help visualize and answer complex business problems.
• Work with Data Scientists to develop and implement AI/ML algorithms, statistical use cases and rapid prototypes from big data sets to drive revenue generation activities for sales, products and supporting CSG and Ops teams.

Processes

• Establish a minimum SLA with tech on data quality and monitor effectiveness metrics
• Lead engagement with PMO teams and respective forums for your workstream
• Lead resources and financial management of your respective workstream

People & Talent

• Work with Engineering and Analytics teams to develop and motivate a team of engineers based in Bangalore and Chennai in the areas of focus and assist in the delivery of use cases.
• Empower, manage, coach and guide teams to deliver on timely outcomes and ensuring quality of code and rigour in analytics output.
• Encourage the team to strengthening skills through relevant training, learning and development activities.

Risk Management

• Ensure alignment of risk management aspect for all deliveries and conducting themselves in line with the Bank’s standards, policies, and procedures

Governance

• Ensure alignment of compliance and governance aspect for all deliveries and conducting themselves in line with the Bank’s standards, policies, and procedures

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• Cash, Trade Product and Sales Team
• Chief Product Owner, S2B Trade
• Chief Product Owner, S2B Cash
• Technology, COO and Other Support Functions
• Specialist Data Scientist and Analytics Teams

Our Ideal Candidate

• University Degree or equivalent, preferably in computer science, engineering or analytical discipline, e.g. mathematics, statistics, IT, economics, finance, accounting.
• 8 plus years’ experience doing quantitative analysis.
• Fluency in SQL and Python.
• 4 plus years’ experience leading product analytics and influencing product roadmap
• Experience understanding ecosystems, user behaviours and long-term product trends.
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.
• Analytical mind with ability to translate business problems and requirements into analytics solutions.
• Knowledge of banking products and the overall industry a strong plus
• Good verbal and written communication skills.
• Self-motivated with ethos of excellence.
• Ability to work independently but also in teams.
• Proficiency across the core analytics toolsets (SQL and or Alteryx, Dataiku) for ETL and working in Big data environment of Hadoop.
• Very strong experience in Python to build Statistical and ML models and knowledge of writing python functions to automate work.
• Knowledge of data visualization tools (Tableau) is preferable but not a must.

Role Specific Technical Competencies

• Data Analysis
• Microsoft Excel and Powerpoint
• ADO
• Programming Language - Python
• SQL
• Java Script
• Agile Product Owner

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Our client, a global leader in real estate and workplace management, is seeking a skilled professional to manage critical facilities operations (Data Centers). This role involves leading preventative and reactive maintenance programs, ensuring statutory and contractual compliance, and overseeing the operation of plant, mechanical, and electrical systems. You will address critical failures, coordinate with the Engineering Team, and manage a multidisciplinary team of staff and vendors to uphold operational excellence.

If you are successful in this role, you will enjoy the following:

• Competitive salary and benefits package
• Opportunity to work in a renowned real estate firm globally
• Collaborative and dynamic work environment
• Professional development and growth opportunities

Key Responsibilities:
- Manage site operations, including hiring, training, and developing site technicians and maintenance teams.
- Ensure compliance with KPIs, uptime requirements, and financial targets using the CMMS platform.
- Conduct site reviews covering maintenance, equipment, security, Tier adherence, and operational risks.
- Oversee subcontractor activities to ensure quality, timely completion, and regulatory compliance.
- Monitor contractor performance and address any gaps against contractual standards.
- Lead meetings with contractors and vendors to maintain performance and implement improvements.
- Support statutory compliance, asset updates in CMMS, and effective documentation for asset management.
- Provide engineering advice and ensure incident management aligns with approved procedures.
- Participate in client meetings and support continuous improvement initiatives.

Key Requirements:
- Tertiary qualifications in mechanical, electrical, or operational engineering.
- Minimum 3 years of experience in Tier III or equivalent data centre or critical facility operations.
- Strong problem-solving, communication, and interpersonal skills.
- Relevant data centre certifications and experience with continuous improvement practices.


If you believe that you fit the requirements of this opportunity and this opportunity will contribute to your career aspirations, apply now via [email protected]!

Reg No: R22110957

EA License No: 20S0075

PURPOSE

• Being a vital member of the GO Data monetization team to support and contribute to the overall Smart Insurance and Data Monetization Strategy
• Champion and drive customer acquisition, retention, cross-sell and upsell campaign across markets.
• Drive customer engagement initiatives to achieve the collective Data Monetization target set for all markets.

KEY ACCOUNTABILITIES

• Champion and drive data-driven marketing initiatives and efforts across markets. Key initiatives include Leads Acquisition, Retention and Up-sell & Cross-sell campaigns and initiatives.
• Plan, creates and implement customer-centric and data driven GO Signature engagement programme and roll out across markets
• Coach, initiate, define and support CVM activities using data and AI; drive effective demand generation programme at scale.
• Handle data and analytics comfortably and relate them to qualitative aspects of work.
• Generate insights into customer segments for data monetization campaign planning.
• Review campaigns tracking results and propose next step.
• Benchmark market standards, share best practices and provides feedback and suggestions to countries to improve local campaigns and support implementation.
• Liaise with key and senior stakeholders to maintain an evolution of information needs.
• Ensure adherence to all data governance standards as determined by regulators

QUALIFICATIONS / EXPERIENCE

• Bachelor/Master degree in a relevant field (digital marketing, CRM, loyalty or data analyses.)
• Min 5+ years’ experience in a similar field.
• Analytical, strong database management and resourceful.
• Good communication and interpersonal skills.
• Proactive and able to work in a fast-pace environment.
• Understanding of Customer Experience Management.
• Positive attitude.
• Able to travel

KNOWLEDGE & TECHNICAL SKILLS

• Familiar with customer centric marketing, customer insights, marketing campaign best practises and other enterprise marketing strategies.
• Know the business to appreciate and understand the value of the data to monetize it
• Familiar with Salesforce Marketing Cloud or other marketing automation platform preferred but not a must.
• Ability to create great presentations with strong narratives.

Responsibilities

· Maintaining computer networks including mainframes, VPNs, routers and other physical hardware

· Installing and configuring network equipment

· Creating firewalls and updating virus protection software and data security systems to keep data and communications protected

· Monitoring computer systems to improve network performance for all systems

Skills/Requirement

· Security --> Palo Alto, Cisco ASA, Fortinet firewall & Proxy (must be Level 3

· Load balancers --> F5 LTM & GTM

· Routing & Switching --> Cisco Catalyst & Nexus, HP Aruba switches & Routers (must be Level 3)

Interested candidates, who wish to apply for the above position, please send in your resume to: [email protected]

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

We regret to inform you that only shortlisted candidates will be contacted.

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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.

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Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Analyst (PowerBI)position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Respond to user requests to modify our existing PowerBI resources (~10 workspaces, ~30 semantic models, ~100 dashboards); create new PowerBI resources when necessary

· Respond to other user requests outside of PowerBI by using SQL queries to directly interact with our data warehouse

· Regularly audit data quality and security on both our PowerBI and data warehouse environments (Azure stack)

· Understand recurrent business requirements, able to help data engineers refine data mart designs based on real user expectations; make suggestions to the data team as a whole about how to service the organization better

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation by ensuring that business requests, and any resulting data products, are well documented

Requirements:

· 3+ years SQL experience

· 2+ years PowerBI experience

· Professional fluency in English and Mandarin

• Company: Japanese IT Services Organization
• Location: Tanjong Pagar/ Telok Ayer (Nearest MRT Station)
• Position: Data Analyst (Job ID: 19309)
• AWS + Variable Bonus
• Opportunity for career growth for entry level candidate

Job Description:

This role will work onsite within the client office and will be involved in Data Analyst projects with chance for exposure to various IT projects for skillsets growth.

Job Requirements:

• Min Degree in related background in IT
• Experience in financial/Trading mechanics is a plus
• Experience with API data, preferably Bloomberg, is a bonus
• Experience in Visualization (PowerBI/Tableau) is a plus
• Open to learn and expose to new technology and IT projects

Interested applicants please apply directly with your latest resume for further shortlisting.

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

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Jeffrey Koh Kok Ann

EA Registration No: R1770345

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