We are seeking a skilled AWS Data Engineer to join our team and support our data initiatives within the Singapore Public Sector. The ideal candidate will have extensive experience in ETL processes, data loading, and data management using AWS services.

Responsibilities

• Perform end-to-end data loading using AWS Glue and Lake Formation.
• Develop and manage ETL workflows using AWS Lambda, Step Functions, PySpark, and Python scripts.
• Load data into AWS RDS and manage data storage in S3 Buckets.
• Provide data for BI reporting using Tableau, leveraging data from S3 Buckets and RDS.
• Implement and manage AIML workflows in AWS using SageMaker, including model building and deployment.
• Utilize AWS Bedrock for advanced data processing and analytics (knowledge and experience with AWS Bedrock is a plus).
• Install and configure native AWS services as required.

Requirements

• Proven experience with AWS Glue, Lake Formation, Lambda, Step Functions, PySpark, and Python.
• Strong understanding of AWS RDS, S3 Buckets, and data management best practices.
• Experience with BI reporting tools, particularly Tableau.
• Familiarity with AIML workflows and model building using AWS SageMaker.
• Knowledge of AWS Bedrock is a plus.
• Experience with the installation and configuration of AWS native services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Previous experience working within the public sector.
• AWS certifications related to data engineering and machine learning.

About Cognizant

Cognizant (NASDAQ-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.

Roles and Responsibilities

• Be part of the development core for one of the 6 pillars in the Digital Transformation Development team
• Produce initial development ideas, perform PoC and deploy the product in GCP under Agile framework
• Maintain and propose new ideas o enhance team practice in product development, including GitHub/Jira/Confluence usage
• Assist in creating data mart from ONE data warehouse in GCP environment whenever necessary
• Set up ETL job and maintain data accuracy with good knowledge of ONE data structure/data latency whenever necessary
• Guidance to junior staff members in the team, building up a solid support force for data science-related product development
• Keep track of latest development of projects and provide timely reporting to the management and comprehensive review/planning on a regular basis
• Any other ad hoc duties as assigned by supervisor.

Requirements

• Bachelor or above in Data Science, Analytics,Mathematics
• Minimum 4 years' experience in SaaS product development
• Ability to present complex analysis to a non-technical audience
• Proficiency in Python/SQL, as well as Cloud platforms (GCP preferred)/ Google Suite (Apps Script is a plus)/ GitHub/Jira/Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Good knowledge of mathematics/statistics/computer science/machine learning
• Strong problem solving and risk analysis skills to analyse internal system data, as well as the forecast system background data
• Ability to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow-up actions

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make an impact happen with a career at TikTok.

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes:

1. Build prediction/uplift NN model to improve LIVE feature intelligence;

2. Mine and interfere with potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;

3. Make detailed analysis on user data and system data to find out user experience optimization zoom;

4. Other work like user growth strategy, cold-start strategy, etc.

Requirements:

1. Responsible for data science work related to the product and operation strategy of TikTok LIVE.

2. Analyse business data in different markets, formulate targeted strategies, and evaluate strategic benefits.

3. Build insights into different strategy scenarios, use data skills to deepen scenario understanding and promote decision quality.

Qualifications:

1. Mathematics, statistics, computer science related majors, have experience of internet business.

2. Excellent thinking framework and scenarios understanding ability, good at using data analysis and other means to solve business problems.

3. Experience of casual inference, evaluation framework, data mining is preferred.

4. Understanding the principle of machine learning and recommendation algorithms is preferred.

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

Responsibilities

• Perform end-to-end data loading using AWS Glue and Lake Formation.
• Develop and manage ETL workflows using AWS Lambda, Step Functions, PySpark, and Python scripts.
• Load data into AWS RDS and manage data storage in S3 Buckets.
• Provide data for BI reporting using Tableau, leveraging data from S3 Buckets and RDS.
• Implement and manage AIML workflows in AWS using SageMaker, including model building and deployment.
• Utilize AWS Bedrock for advanced data processing and analytics (knowledge and experience with AWS Bedrock is a plus).
• Install and configure native AWS services as required.

Requirements

• Proven experience with AWS Glue, Lake Formation, Lambda, Step Functions, PySpark, and Python.
• Strong understanding of AWS RDS, S3 Buckets, and data management best practices.
• Experience with BI reporting tools, particularly Tableau.
• Familiarity with AIML workflows and model building using AWS SageMaker.
• Knowledge of AWS Bedrock is a plus.
• Experience with the installation and configuration of AWS native services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Previous experience working within the public sector.
• AWS certifications related to data engineering and machine learning.

The Senior Executive, Data & Digital Projects will undertake data analytics and audience research, optimizing CRM tools such as marketing automation to deepen audience engagement and facilitating data integration, as well as being a key member of the project team for future digital technology initiatives.

RESPONSIBILITIES:

Data Integration and Analytics

• Manage vendors in the data extraction, transformation, and loading (ETL) processes to ensure accurate and consistent data across all marketing systems.
• Help to oversee data hygiene by defining standards, ensuring compliance, and coordinating with external vendors to execute data cleaning and maintenance tasks.
• Generate project-based reports using data analytics skills and qualitative research, to inform planning.
• Organise and interpret information from company sources of data such as ticketing and viewership data to identify relationships and linkages, and assess best technique for analysis.
• Select appropriate data visualisation techniques and develop dashboards to reflect data trends and findings.
• Manage relationship with research agency and oversee audience satisfaction surveys and reports.

Marketing Technology

• Identify opportunities and evaluate risks of integrating digital technology tools, systems and software across work processes and activities.
• Assist with the set-up, maintenance and optimisation of CRM tools for customer journey builder and marketing automation to deepen audience engagement, and facilitate data integration flowing between CRM and other customer-facing channels.

Project Management

• Project-manage future digital technology projects as assigned, including gathering business requirements and approaching vendors for requests for proposals.
• Facilitate coordination and present regular project updates across the company as required.
• Develop strong relationships with internal and external stakeholders.

REQUIREMENTS:

• Passion for classical music.
• A university degree in Marketing, Business, Data Science, Information Systems, Computer Science, or a related discipline.
• Relevant coursework, certifications or experience in digital marketing, analytics, or data management will be preferred.
• Familiarity with CRM tools or marketing automation platforms (e.g. Salesforce Marketing Cloud) is a plus.
• Experience with Excel or other data analysis and visualisation tools.
• Strong analytical and problem-solving skills with attention to detail.
• Exceptional organizational skills, project management skills, good initiative and the ability to work under pressure.
• Resilient individual with positive energy and excellent writing and communication skills.
• Takes a collaborative approach to working with colleagues.
• Able to work flexible hours, including some evenings and weekends when needed.

The Mechanical Engineer is responsible for the engineering and delivery of mechanical and structural aspects of construction under direction from the Construction Manager. Their activities will involve coordinating design and construction efforts, resolving on site engineering issues and planning and tracking productivity targets.

Key responsibilities and accountabilities

Technical

• Design, integration & coordination, installation & commissioning of mechanical systems and services required for the project
• Liaise with Construction/Installation Manager to ensure job is on schedule on Site.
• Liaise with Client on all technical aspects of the project.
• Provides engineering advice for the Construction/Installation Team.
• Attends meetings with client on all disciplines of the work (i.e. 1 etc.) as required.
• Prepares with the Quality Manager all Inspection and Test Plans and associated Project Specific Procedures.
• Ensures that the quality requirements of the client are adhered to and that company procedures are followed.
• Coordination & integration of the design with other engineering design disciplines & services
• Ensure project timetabling requirements are met
• Development / production of inspection & test and operating & maintenance manual documentation.
• Ensure local regulatory and OHS requirements are maintained
• Ensure that the surveys of installations throughout the project are conducted in a professional manner with all results being reviewed and accepted by UGL. All actions resulting from these surveys are coordinated by the Engineer until completion.
• Provides written reports on engineering activities as required by the Project Manager.
• Mentor Engineering Graduates and Engineering Vacation Students (Engineering Assistant)
• Maintain documentation and registers
• Provide monthly reporting data to the Engineering Manager as required

Safety

• Undertake all responsibilities in a safe manner.
• Ensure a safe working condition is present for all employees, contractors and visitors.
• Participate in daily pre-start meetings.
• Use appropriate personal protective equipment and safety systems such as job safety analysis, pre-work checklists and risk assessments.
• Comply and have input into safe working procedures.
• Report hazards, incidents and accidents within company guidelines.
• Assist with safety sections for reports, tenders and proposals.
• Actively participate in safety training.

Other

• Prepare and implement Workpacks, including ITPs
• Detailed planning and engineering of works
• Procurement of suppliers and subcontractors
• Subcontractor and Supplier Management
• Monitor, control and update program and productivity metrics
• Enthusiastically and co-operatively undertake all site inductions as requested by the client.
• Proactively continuously monitor and evaluation systems and procedures specific to site works to ensure that they are up to date, compliant and up-to-date in line with best practice.
• Actively participate in regular learning and development programs to continually enhance and further develop skills and continuously improve capabilities and performance.
• Portray a professional approach at all times through attitude and appearance.
• Ensure that work space is well managed, tidy, organised and safe.
• Comply with all UGL systems and processes and expected behaviours and standards.

Qualifications and Education Requirements

• Mechanical Engineering Qualification.
• Minimum 5 years’ experience in project related disciplines.
• Significant engineering experience throughout, design, construction and commissioning on Brownfields and Greenfields projects.
• Technical experience includes; rotating equipment, static equipment, GE equipment, materials selection, hydraulic systems, pipelines and piping components
• Strong communication skills (oral & written) including strong negotiation and influencing skills and the ability to establish effective working relationships with a variety of people at different levels both internally and externally.
• Demonstrated ability to work independently to organise and prioritise demands, handle multiple complex tasks simultaneously, set and meet deadlines and follow-through within a fast paced environment with multiple and competing demands
• Proficient skills in computers: MS Word, Excel, Access, Outlook
• Leadership ability

Responsibilities

• Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
• Experience in designing application solutions in hadoop ecosystem
• Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
• Good knowledge in data warehousing system
• Experienced in any scripting language (SHELL, PYTHON)
• HortonWorks distribution and understanding on SQL engines (Tez, MR)
• Java/RestServices/Maven experience is a value addition
• Control-M development. Monitoring Resource utilization using Grafana Tool
• Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
• Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

• Develop and implement data science and AI roadmap and strategy to drive key AI initiatives across the group
• Lead data science and AI team in implementing and managing AI projects throughout their lifecycles to meet business and technical needs
• Set up and maintain sufficient compute infrastructure for training and deploying AI models in a cost efficient manner
• Gather and translate business and technical needs from internal and external stakeholders into metrics that can be optimized by AI models
• Collaborate closely with domain experts (e.g. chemists), IT engineers, software engineers, technology leaders and business leaders to ensure that data science and AI projects meet business and technical requirements
• Prepare presentations and reports on data science and AI project outcomes to facilitate senior management’s decision-making and strategic planning
• Keep abreast of latest developments and trends in data science and AI and implement best practices timely
• Enthusiastic about learning relevant domain knowledge of paints and coatings that is needed to successfully lead and execute data science and AI projects

Requirements

• Bachelor’s, master’s or PhD degree in computer science, AI, data science, electrical engineering, statistics, mathematics or related fields
• Strong knowledge and expertise in data science, AI, machine learning, deep learning, MLOps and project management
• At least 7 – 8 years of experience with leading and implementing data science and AI projects in a business environment
• Experience with programming e.g. Python
• Experience with using machine learning frameworks e.g. PyTorch, TensorFlow, Keras and scikit-learn
• Capable of working independently as well as in teams
• Excellent communication skills for presentations and reports
• Proficient in written and spoken English
• Experience with paints and coatings, chemistry or materials science is a plus
• Able to travel occasionally as and when required.

• Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties – Spark/Python on Glue, Redshift, S3, Athena, RDS-PostgreSQL, Airflow, Lambda, DMS, Code Commit, Code Pipeline, Code build
• Design and build production data pipelines from ingestion to consumption within a big data architecture, using DMS, DataSync & Glue.
• Understand the existing applications (including on-premise Cloudera Datalake) and infrastructure architecture.
• Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.

Requirements

• 5 years of work experience with ETL, Data Modelling, Data Architecture to build Datalake. Proficient in ETL optimization, designing, coding, and tuning big data processes using Pyspark.
• Extensive experience in working on AWS platform using core services like AWS Athena, Glue Pyspark, Redshift, RDS-PostgreSQL, S3 & Airflow (for orchestration)

Interested applicants may send in their detailed resumes in MS Word format to [email protected], with subject title: 105-Data Engineer

(Reg. Nos. R1104128)

IT Consultancy & Services Pte Ltd

EA License No.: 92C5311

For more information about ITC, please visit us @ www.itcspl.com

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Degree in Computer Science or IT or Business Analytics

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

Responsibilities:

• Deploy and maintain on-site data center physical infrastructure.
• Install, replace, and troubleshoot cables and hardware.
• Handle data-bearing devices (e.g., hard drives, SSDs).
• Work within a ticket-based environment.
• Move equipment using pallet jacks or lifting tools.
• Assist the Data Centre Inventory and Asset Management Team (DIAT) with shipping, receiving, and inventory management as needed.
• Work flexible hours, including weekends and holidays.

Education / Experience:

• Diploma / Degree in IT / Computer Engineering or equivalent.
• 1 year of IT support experience (Fresh graduates with a good attitude will be considered).

Skills:

• Basic knowledge of computer hardware and components.
• 6+ months experience handling technical equipment or machinery.
• 1+ years of IT equipment support experience.
• Relevant certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).
• Ability to stand, walk, lift, and work at heights with or without equipment assistance.
• Willingness to learn and develop new technical skills.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Job Description:

At least 2 years of hands-on experience in data center infrastructure, network hardware, and communications systems implementation and maintenance.

Knowledge of data center environments, including PDUs, RPPs, SANs, and network infrastructures.

Understanding of complex inter-networked environments, such as Ethernet, TwinAx (100GigE, 25GigE, 10Gig, 100M etc) token ring, and WAN technologies (OC-x, DS-x).

Familiarity with TCP/IP protocols, subnetting, and WAN technologies.

Strong analytical and troubleshooting skills to identify and resolve system and network-related issues.

Excellent written and verbal communication skills to interact with vendors, team members, and stakeholders.

Experience in managing or coordinating technical infrastructure projects is an advantage.

While not required, familiarity with the Financial Services industry is a plus.

Roles and Responsibilities:

Hardware & Network Installations: Perform installation, de-installation, relocation, and testing of network hardware (routers, switches, firewalls, encryptors) and systems within the data center. Ensure that all installations meet the required service-level standards.

Carrier Circuit Management: Install, relocate, and test carrier circuits to ensure network connectivity across various hardware.

Cabling & Infrastructure Management: Manage the installation, relocation, and testing of patch cabling for systems and network hardware, maintaining organized and effective cabling practices.

Vendor Coordination: Collaborate with facilities, electrical, and communications vendors to facilitate the installation of infrastructure elements such as power circuits, cabinets, and network components.

Network & SAN Infrastructure Support: Assist in coordinating the installation and management of network configurations and SAN cabling, ensuring that performance and reliability standards are met.

Consumables Management: Oversee the management of critical consumables (cables, labels, rail kits, etc.) to ensure efficient day-to-day operations.

Work-Life Balance: This role will be 12Hour Rotating shift from Thursday to Sunday. 3days off to rest/ recharge.

Career Development: Gain invaluable experience in managing enterprise-level data center operations and network infrastructure.