Job Description:

1. Data Collection and Management:
- Gathering data from various sources, ensuring its accuracy, and maintaining databases.

2. Data Analysis:
- Utilizing statistical methods and tools to analyze trends, patterns, and correlations within data sets.

3. Reporting:
- Creating detailed reports and dashboards to present findings to stakeholders, highlighting key metrics and performance indicators.

4. Requirement Gathering:
- Collaborating with business units to understand their needs and translate them into data-driven solutions.

5. Problem Solving:
- Identifying business challenges and recommending data-driven strategies to improve operations, efficiency, and profitability.

6. Forecasting and Modeling:
- Developing predictive models to forecast trends and outcomes, aiding strategic planning.

7. Cross-Functional Collaboration:
- Working with IT, marketing, and finance teams to ensure data alignment and support business objectives.

8. Training and Support:
- Providing guidance to teams on data tools and methodologies, fostering a data-driven culture within the organization.

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #68538 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Data System Officer

For inbound travel agency

GCE "N" / "O" level

Responsible for sales data including costing

Pleasant personality

Experience not necessary, training will be provided

5 days office work week

Working hours 9am-6pm with 1 hour lunch time

Knowledge of Microsoft office will be advantage

Handshakes by DC Frontiers is an award-winning DataTech company that leverages data to empower safe, informed business decisions. We are located in 7 cities and are expanding our presence across the globe.

We are hiring an experienced Senior Data Engineer to be based in our Singapore office. The Senior Data Engineer will be part of our Data and AI team that is involved in building innovative products on cutting-edge technologies to solve business problems. As a Senior Data Engineer, you will be expected to build machine learning solutions and create robust data pipelines to maintain and optimise data platforms.

Responsibilities for a Senior Data Engineer would include but will not be limited to:

• Engaging in technical design and building reusable codes that are efficient, scalable and stable
• Developing APIs to support high throughput data processing, features engineering and other uses cases
• Creating new data pipelines, improve existing data processes and champion automation of manual processes especially in data delivery
• Collaborating with data scientists, AI engineers, product managers and other teams in developing relevant and cutting-edge data solutions tailored to business and product requirements
• Working on all aspects of data including platform and infrastructure build out, pipeline engineering as well as creating of tools and services relevant in managing the data platforms

As an experienced Senior Data Engineer, you would have:

• Demonstrable experience in coding and scripting in languages such as Scala, Go, Python, SQL or R
• Exposure to big data technologies like Spark, Airflow, Hadoop, Kafka, et al
• Strong experience with data management, data tools, relational / non-relational databases (SQL, NoSQL, MongoDB, HBase, Cassandra), ETL processes
• Experience with cloud services such as AWS, Azure or GCP a plus
• Ability to drive CI/CD, containerization, blue green deployments as well as re-designing of infrastructure for greater scalability

We are not engaging with recruitment agencies. If interested, apply here or send your profile or inquiries directly to [email protected].

Job Description, Roles, and Responsibilities (Commissioning Manager):

A Commissioning Manager effectively manages, leads and supervises the entire quality & commissioning process including contractual deliverables. Coordinate with all departments to ensure a smooth handover from construction through to commissioning and client hand over, including extensive follow-up with contractors, vendors, and the client site team.

ROLES AND RESPONSIBILITIES

• Chair weekly Commissioning meeting with vendors
• Chair daily site Commissioning Meeting following Power On
• Issue daily Notification of Energization (NoE) during Power ON phase
• Ensure the Calibration of ALL test equipment to be used is valid and in date.
• Oversee the correct implementation of the ESSW system including Lock Out Tag Out.
• Ensure registers are maintained for LOTO and related control measures (Lock Box, Authorized Persons).
• Coordinate with the site safety team to endure source of energy risks are covered in site awareness.
• Coordinate safety watch requirements for Commissioning activities.
• Coordinate room access control personnel for sign in, sign out registers and permit to work controls in Commissioning Areas. Assistance by Safety Team
• Ensure adequate safety signage is installed by the HSE team, including live warning labelling and contact persons for Electrical and Mechanical plant.
• Coordination with ALL vendors for documentation (RAMS, Red Line Drawings, Start Up Scripts, SAT)
• Plan Mobilization dates and resources for 3rd Party vendors and commissioning contractors
• Plan and manage the Testing & Balancing team activities.
• Assist Engineering in developing the Equipment Tagging Register for Equipment Labelling (Traffolyte / SS)
• Coordination of vendors/engineering for all inter connections between packages (HW & SW)
• Liaise with the QAQC Inspectors for progress updates during the installation process.
• Liaise closely with the ELV Lead for EPMS/BMS readiness, per package as per the commissioning program.
• Manage the QAQC snagging list and ensure follow up of closures with the Construction Managers, not to delay the commissioning schedule.
• Prepare and distribute a issues log, independently to the Completion Management System CIL for tracking issues or deficiencies during the installation phase.
• Coordinate the closure of all Commissioning Issues raised in the CMS during FAT, L2, L3, SAT and IST
• Manage closely the static testing of MV & LV power cabling, ensuring the installation adheres to approved drawings. Any “To/From” deviations to be escalated immediately.
• Prepare and issue a weekly Commissioning Dashboard report.
• Prepare and issue a 2-week static and pre-functional testing look ahead program - To be updated and issued on a weekly basis.
• Manages and motivates the QA/QC and Cx teams, acts as a champion for all policies and procedures and leads by example, particularly in the areas of work ethics, quality, health, and safety.
• Plan and arrange vendors to attend for System Level and Integrated System Testing Demonstrations
• Leads engineers involved in “hands on” System Level Testing and IST Demonstrations

QUALIFICATIONS & EXPERIENCE:

• Electrical, Instrumentation or Mechanical Engineer.
  BS. Degree or Equivalent in trade experience (15 Years) with a recognized trade certificate.
• 10+ years in area specific project experience.
• Multi-discipline understanding (Electrical & Mechanical, including ELV)
• Very good English language skills.
• Competent in the use of PC applications (Microsoft Office suit or equivalent).

About RubberWay

RubberWay is a young start-up with a mission to improve supply chain transparency in the natural rubber industry. The project was first launched in 2016 by the tire manufacturer Michelin and became a standalone company incorporated in Singapore in 2020. Now, the shareholding structure is composed of both Michelin and Continental, serving major corporate clients such as Goodyear, Sumitomo, and Pirelli.

We are proud of our dual culture of small company working with large businesses, giving us a foot in both the startup and corporate worlds. We are pleased to have a positive impact on the sustainability of the rubber industry.

RubberWay’s first tool is a risk-mapping solution designed to help natural rubber processors identify social and environmental risks in their upstream supply chains. The solution comprises a data visualization dashboard that allows processors to monitor their risk-mapping progress and visualize their risk data.

The RubberWay team is looking for a Data Visualization Intern to implement improvements to the dashboard and support other ongoing operational tasks within the company. The intern will report to the Head of Operations and work in close collaboration with the Engagement Manager.

Main Responsibilities

1. Redevelopment of current Power BI dashboard: Improving layout of existing dashboard pages, designing and implementing new dashboard features and graphs to provide better data insights for users.
2. Adjustments to RubberWay website: Updating of figures, addition of new tabs.
3. Assist in updating of questionnaire dataset: Language translation of questionnaires, implementation of new questionnaire version.
4. Provide support in other daily operations where required.

Requirements

• Currently pursuing a Bachelor’s Degree in Computing, Engineering, Data Science, Data Analytics, Business Analytics, Information Technology, Environmental Sciences or related fields.
• Proficiency in data management and analytics in Microsoft Excel.
• Experience with data visualization. Knowledge of PowerBI is preferable.
• Strong verbal and written communication skills.
• Proactive and creative, able to propose new ideas.
• Able to effectively handle multiple ongoing tasks.
• Interest in social and environmental sustainability.
• Experience with WordPress is an advantage.

Additional Notes

• Applications will be considered on a rolling basis.
• Link to RubberWay website - https://rubberway.tech/

Product area

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Job description

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

Qualifications

Job responsibilities

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Learn and apply skills in repairing and troubleshooting different machine platforms.
• Participate in complex troubleshooting and resolve critical technical issues.
• Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other networking gear. Configure and troubleshoot Linux OS-related issues.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
• Experience Data Centers, Linux, Hardware, Networking, OSI Model, Written Communication, Teamwork, Communication.

Preferred qualifications

• Experience in maintenance of server systems.
• Experience working within a data center or network operation center environment.
• Experience with troubleshooting hardware and network issues using Linux tools.
• Knowledge in Networking, including topology and protocol understanding.

JOB DESCRIPTION

• Define key metrics for governance to ensure compliance with data-related policies, standards, roles, and responsibilities
• Drive Data Governance and Management on an on-going basis through being the chair to the Data Governance Council
• Responsible for defining data policies and standards, managing stakeholder communication and progress reporting to leadership and executives
• Manage and coordinate all key issues and escalations around data governance
• Work closely with Data BP's s to build their engagement and stewardship of data assets
• Collaborate with our Cybersecurity and technology operations teams to implement data governance standards and best practices to improve the quality of data
• Leverage deep experience in the implementation of data governance solutions in such areas as: data quality, data lineage, data glossary, data security management, metadata management, and advanced data analysis solutions
• Write data governance policies, oversee the adoption of data governance efforts, and partner with the legal and information security teams to fulfill Keppel's commitments related to reducing Data Management risks

JOB REQUIREMENTS

• An excellent communicator who can drive the process to govern data at enterprise scale as the role requires close collaboration with senior-level executives (members of DG Councils/C-Suite), business data owners, and stewards
• At least 10+ years of experience in a leadership role related to data
• At least 5 years of experience either in leading a data governance function or being part of a team that managed large-scale data governance initiatives; with expertise in data governance, data quality industry best practices and framework

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, supporting top-performing departments including software development, engineering, product, marketing, content, and people management.

What you’ll be doing

As a Senior Operations Data Analyst, you will:

• Act as a strategic partner in Product Operations to grow the extent of data-driven planning and decision making. Product Operations watches over our service platforms and infrastructure, ensuring our services are working reliably and seamlessly for our customers.
• Lead complex projects to turn data into insights, predictions, and actionable recommendations, delivering clear business value to our cross functional teams in their business challenges.
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboards.
• Collaborate with Data Engineers and Analytics Engineers to define requirements and standards for data pipelines and transformations, aligning with broader requirements.
• Drive quality and consistency, setting solid standards for the team

Who we’re looking for

If this sounds like you, please get in touch!

• Are passionate about data and using it to influence business decisions.
• Have 4+ years of experience in a Data Analyst / Business Intelligence Analyst role.
• Adept at integrating with the business to truly understand their business challenges, defining how data can help and integrating it at the earliest opportunity to increase data driven decision making.
• Have a track record of delivering clear business value from data through fit for purpose and actionable insights.
• Are an excellent communicator and use storytelling to bring insights to life and make connections on the business level.
• Have outstanding analytical skills - from unearthing valuable insights through querying data to creating compelling visualisations for ease of understanding.
• Proficient with querying languages such as SQL, and visualization tools such as Tableau/Power BI
• Are organized and able to lead complex projects with multiple user stories and dependencies.
• Seek a fast-paced environment where you will make an instant impact.
• Want to work alongside other intelligent and passionate people.

Nice to have, but not required

• Data science experience (e.g. experimentation, predictive analytics, machine learning).
• Training / mentoring experience relating to data: Can be with team members or across business units and their data use.
• You are comfortable talking technology and communicating with developers on technical topics.
• Understanding of operational metrics such as connection statistics, server telemetry, bandwidth utilization, and more
• Experience with Operations Monitoring tools such as Grafana, InfluxDB

JOB DESCRIPTION

This role encompasses two primary responsibilities, the first involves data science activities and the second focus on full-stack development.

Data Science Responsibilities:

• Collect, clean, and preprocess large datasets
• Develop and deploy machine learning models to address challenges related to Keppel energy systems, including predictive modeling, classification, and clustering
• Apply statistical analysis to derive actionable insights and support data-driven decision-making
• Perform data visualization to effectively communicate findings to both technical and non-technical stakeholders
• Collaborate with data science and engineering teams to identify opportunities for leveraging data in product development and operations

Full Stack Development Responsibilities:

• Design, develop, and maintain scalable web applications, ensuring seamless integration with data pipelines and models
• Build APIs and microservices to serve machine learning models and integrate with front-end interfaces
• Implement responsive front-end interfaces using modern frameworks (e.g., React) to display data insights and support interactive user experiences
• Optimize back-end services for efficiency and scalability, ensuring secure data access and real-time performance
• Troubleshoot and debug issues across the full stack (front-end, back-end, and database layers)

Such other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

JOB REQUIREMENTS

• Bachelor's degree in computer science, software engineering or related field
• Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
• Strong understanding of back-end frameworks and technologies (e.g., Node.js, Django, Flask, Express).
• Proficiency in programming languages such as Python for data science applications.
• Proficiency in front-end technologies
• Hands-on experience with databases and cloud-based data storage solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
  

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders, e.g., ...
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc....
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Working hours: Mon to Fri, 8:30am to 6pm

Position Summary

This position is responsible for physical and technical tasks related to Data Center Infrastructure equipment.

Primary Responsibilities

• Perform physical and technical tasks of intermediate & escalated complexity on Data Center infrastructure equipment including but not limited to servers infrastructure, network infrastructure, or other equipment on the DC floor, without immediate supervision.

• Work alongside Technicians in installing, troubleshooting, and maintaining servers, networking equipment, and cabling (requires moving and racking equipment)

• Fix broken servers (replace hard drives, replace bad sticks of RAM, etc.).

• Use hardware/software tools and workflows (automation) in support of these tasks.

• Strictly follow all policies, processes, and procedures related to the activities and data center environment.

• Perform maintenance on a timely basis with adequate recordkeeping.

• Maintain equipment in running order with minimal downtime.

• Ensure a safe working environment and perform maintenance in a safe manner.

Requirements

• NITEC in IT or technical based qualifications.

• Familiar and comfortable using and working with IT equipment and software.

• Experience in repair of electronics components of computers.

• Scissor lift license would be an added advantage.

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

1) Data Protection and Privacy:

- Develop, implement, and maintain data protection policies and procedures in accordance with legal requirements and industry best practices.

- Ensure compliance with data protection laws and regulations, such as GDPR, CCPA, and other applicable frameworks.

- Conduct regular audits and assessments to identify potential risks and vulnerabilities in data protection processes.

2) Data Governance:

- Collaborate with the Data Governance team to establish data management policies that align with organizational goals.

- Support the development and maintenance of a data governance framework, including data standards, policies, and procedures.

- Work to improve data quality and integrity across the organization.

3) Risk Management:

- Identify and assess data protection risks and develop mitigation strategies.

- Manage data breach incidents, including investigation, response, and reporting.

4) Training and Awareness:

- Develop and deliver training programs to educate employees on data protection and privacy best practices.

- Foster a culture of data protection awareness throughout the organization.

5) Stakeholder Collaboration:

- Act as a point of contact for data protection queries and issues within the organization.

- Collaborate with IT, legal, compliance, and other relevant departments to ensure cohesive data protection strategies.

6) Reporting and Documentation:

- Prepare and present reports on data protection activities, risks, and compliance status to senior management.

Maintain comprehensive documentation of data protection policies, procedures, and compliance efforts.

Job Requirements

• Bachelor’s degree in information technology, Law, Business Administration, or a related field.
• Strong knowledge of data protection regulations, excellent communication skills, and experience with data management tools
• Certified Information Privacy Professional (CIPP) or similar certification is preferred.
• Preferably has experience working with cross-geographical teams
• 3-5 years in data protection, privacy, or a related field.
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate

AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries.

This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.

Key job responsibilities

• Advise customer’s technologists and business leads; help them to explore the art of the possible with Data and Analytics, and to develop scalable Data solutions on AWS to deliver business value in the most effective way
• Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
• Drive and deliver large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to development, testing and roll out
• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS
• Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

• Bachelor's Degree or equivalent experience in STEM.
• 5+ years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design, architecture and implementation (Data Lake, Data Warehouse, Lake House, Data Mesh, Data as a Product and Data Governance including Data quality and controls, etc..).
• Ability to think strategically about business, solutions and technical challenges.
• A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities

Preferred qualifications

• 3+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
• Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
• AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
• Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
• Advanced degree desired (e.g., MBA, MS)

Azure Data Engineer – Contract 1 Year with option to extend for 1+1 Year

Roles & Responsibilities

Business Understanding

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users

Azure Data Engineering

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

Data Ingestion & Modelling

At least (3) years of hands-on experience in

• Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
• Implementing Data Quality validation
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience

Job Description:

• Attend to walk-in customer
• Responsible for day-to-day customer service support; including sales order entry, invoicing and making sure that deliveries have been made
• Attend to enquries, create new customer account, following up quotation with present and new customer
• Provide general support to sales team including preparing admin work & quotation
• Process orders & maintain company websites / social media
• Housekeeping
• Services: Plan Printing, Laminating, Book Binding, Photocopying
• Warehousing: Replenish stock to shelves from 2nd storey
• To perform ad-hoc duties as & when required

Job Requirement:

• 5 days work <08:20am - 17:50pm> Monday - Friday
• Able to work independently, posses good multi-tasking skill
• Physically fit to climb staircases to carry down goods