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

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants

Please WA Justine @ 9755 9161

Shortlisted candidates will be notified

Justine Lam Nyok Yuen

Reg No. R1218722

Julian Grey Corporate Advisory Pte. Ltd.

EA License No: 19C9568

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.

Additional job description

As a Data Center Technician, you will deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You will also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

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 large-scale networking gear.

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 with performing component-level repairs on IT equipment.
• Ability to lift/move equipment and exert yourself physically over extended periods of time.
• Ability to work non-standard hours, including working weekends, holidays and on shift-based schedule as required.

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 of networking, including topology and protocol.
• Excellent people and communication skills.

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

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants

Please WA Justine @ 9755 9161

Shortlisted candidates will be notified

Justine Lam Nyok Yuen

Reg No. R1218722

Julian Grey Corporate Advisory Pte. Ltd.

EA License No: 19C9568

TikTok will be prioritizing applicants who have a current right to work in Singapore and do not require TikTok's sponsorship of a visa.

About TikTok

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, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team

The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.

What you will be doing:

1. Responsible for the design and development of distributed database Hbase-related components.

2. Responsible for the design and development of single-node LSM engine Rocksdb-related components.

Qualifications

What you should have:

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 2+ years of relevant development experience in the field with a strong programming ability, and proficiency in one of C/C++/Java;

- In-depth understanding of the architecture and principles of distributed systems;

- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data.

Preferred Qualifications:

- Embrace the use of open-source software, possess a track record of involvement in open-source projects, and demonstrate a keen enthusiasm for engaging with the latest and most advanced technologies.

- Exhibit knowledge in distributed consensus algorithms like Paxos/Raft.

- Show familiarity with distributed transaction models.

- Demonstrate proficiency in typical storage engines, including RocksDB, and have a deep understanding of the inner workings of Redis at the low-level code level.

- Display expertise in low-level aspects of operating systems, with a background in optimizing system performance for TCP/IP, I/O operations, and other critical component

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.

Staff Skill

1. Data Engineering & Architecture:
   • Strong understanding of data engineering principles, data pipelines, and architectures.
   • Expertise in building scalable, high-performance data systems.
2. ETL/ELT Processes:
   • Proficiency in designing, developing, and maintaining ETL/ELT pipelines.
   • Experience with ETL tools such as Databricks Delta Lake, Google BigQuery, Azure Data Factory, SSIS.
3. Programming & Scripting:
   • Advanced skills in programming languages like Python, R, Java, Scala, or SQL.
   • Ability to write clean, efficient, and reusable code.
4. Database Technologies:
   • Extensive experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
   • Expertise in NoSQL databases (e.g., MongoDB, Cassandra).
   • Familiarity with data storage technologies like Hadoop, HBase, Redshift, BigQuery, Snowflake.
5. Data Warehousing & Data Lakes:
   • Experience with data warehousing solutions (e.g., Azure Synapse Analytics, Snowflake, Amazon Redshift).
   • Expertise in working with data lakes (e.g., Azure Data Lake Storage (ADLS), Hadoop, Databricks).
6. Cloud Platforms:
   • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
   • Knowledge of cloud-native data processing tools (e.g., AWS Glue, Azure Data Factory, Databricks).
7. Data Integration & API:
   • Ability to integrate data from multiple sources including relational, NoSQL, and external APIs.
   • Experience with RESTful APIs and Web Services.
8. Big Data Technologies:
   • Knowledge of big data frameworks
   • Familiarity with distributed data processing and storage systems.
9. Data Modeling & Design:
   • Proficient in data modeling concepts (e.g., star schema, snowflake schema, dimensional modeling).
   • Experience in defining and implementing data models for analytical and operational needs.
10. Microsoft Power BI & Reporting:
    • Expertise in Power BI design, integration, and implementation for building interactive dashboards and reports.
    • Experience with data source integration and visualization techniques.
11. SharePoint Integration:
    • Experience in integrating data solutions with SharePoint, enabling seamless data flow, document collaboration, Sharepoint Server Management, Customization and Development, permissions and security.
12. Version Control & DevOps:
    • Proficiency in version control systems (e.g., Git).
    • Experience with CI/CD pipelines and DevOps practices to automate data pipeline deployment.
13. Performance Optimization:
    • Ability to optimize queries, data processes, and storage solutions for performance and cost-efficiency.
14. Security & Data Governance:
    • Knowledge of data security practices, encryption, and compliance requirements.
    • Experience with data governance frameworks and tools.
15. Problem-Solving & Analytical Thinking:
    • Strong problem-solving skills and the ability to troubleshoot complex data issues.
    • Ability to analyze large datasets and derive actionable insights.
16. Communication & Collaboration:
    • Excellent written and verbal communication skills for interacting with stakeholders and cross-functional teams.
    • Ability to mentor junior engineers and work collaboratively in a team environment.

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience: 5 years of experience as a Data Engineer or in a similar role.

Staff's current job responsibilities (Detail JD):

1. Data Pipeline Development:
   • Design, develop, and maintain scalable, reliable, and efficient data pipelines for processing structured and unstructured data.
2. ETL/ELT Implementation:
   • Create, optimize, and maintain ETL/ELT workflows to transform raw data into usable formats for business and analytical purposes.
3. Data Warehousing & Data Lakes:
   • Design and implement data storage solutions using data warehousing and data lake technologies such as Azure Synapse Analytics, Snowflake, or Databricks.
4. Data Integration:
   • Integrate data from multiple internal and external sources, ensuring accuracy, consistency, and timeliness of data delivery.
5. Cloud-Based Data Solutions:
   • Architect and implement data solutions on cloud platforms like AWS, Azure, or GCP, leveraging native cloud tools and services.
6. Data Modeling:
   • Develop and maintain logical and physical data models for transactional, operational, and analytical systems.
7. Performance Optimization:
   • Optimize database queries, data storage, and processing pipelines to ensure high performance and low latency.
8. Microsoft Power BI Implementation:
   • Develop and implement Power BI dashboards and reports, integrating various data sources and ensuring actionable insights for stakeholders.
9. SharePoint Integration:
   • Collaborate with teams to integrate SharePoint with data solutions, ensuring seamless access and collaboration across platforms.
10. Data Security & Governance:
    • Ensure compliance with data security policies, implement best practices for data governance, and maintain data quality standards.
11. Collaboration & Communication:
    • Work closely with data analysts, data scientists, and business teams to understand data needs and deliver solutions that align with business objectives.
12. Mentorship & Leadership:
    • Mentor junior engineers, provide technical guidance, and promote knowledge sharing within the team.
13. Innovation & Continuous Improvement:
    • Stay updated with emerging technologies, recommend new tools and techniques, and drive continuous improvement in data engineering practices.
14. Documentation & Reporting:
    • Prepare comprehensive technical documentation for data pipelines, architecture, and processes, ensuring knowledge transfer and clarity.
15. Monitoring & Troubleshooting:
    • Monitor data workflows, troubleshoot issues, and implement solutions to ensure seamless data operations.

Interested candidates, please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile. (https://sg.go.persolkelly.com/job/apply/10696)

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

Gelangre Reyanelle Gelario | REG No : R1870995

PERSOLKELLY SINGAPORE PTE LTD | EA License No : 01C4394

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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.

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, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, stable and high-performance storage and computing systems

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets

- Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

1. Bachelor's degree or above in computer science, software engineering, or a related field

2. Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.

3. Familiar with Java, C ++ and other programming languages

4. Strong coding and trouble shooting ability

5. Willing to challenge questions that have no obvious answers, and have a strong enthusiasm for learning new technologies

6. Experience of Peta Byte level data processing is a plus

7. At least 3 years of relevant experience

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.

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

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, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About the Team

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, stable and high-performance storage and computing systems

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets

- Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

- Bachelor's degree or above in computer science, software engineering, or a related field

- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.

- Familiar with Java, C ++ and other programming languages

- Strong coding and trouble shooting ability

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.

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

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, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, stable and high-performance storage and computing systems

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets

- Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

- Bachelor's degree or above in computer science, software engineering, or a related field

- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.

- Familiar with Java, C ++ and other programming languages

- Strong coding and trouble shooting ability

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.

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

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, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About the Team

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, stable and high-performance storage and computing systems

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets

- Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

- Bachelor's degree or above in computer science, software engineering, or a related field

- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.

- Familiar with Java, C ++ and other programming languages

- Strong coding and trouble shooting ability

- Willing to challenge questions that have no obvious answers, and have a strong enthusiasm for learning new technologies

- Experience of Peta Byte level data processing is a plus

- At least 3 years of relevant experience

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.

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

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

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

We are seeking a skilled and experienced Deployment Engineer to join our dynamic IT team. The ideal candidate will have extensive experience with hypervisors, network infrastructure, and system services, with a strong focus on deployment and implementation. This role requires a proactive individual who can manage and optimize our IT environment to ensure smooth and efficient deployments.

JOB DESCRIPTION:

· Plan, coordinate, and execute the deployment of virtual environments using vSphere, Nutanix, and Hyper-V.

· Ensure seamless integration and deployment of network switches, firewalls, and storage solutions.

· Implement and manage deployment processes for system services such as Active Directory, DHCP, DNS, failover clusters, file servers, and Certificate Authority.

· Configure and manage deployment environments to ensure optimal performance and security.

· Maintain detailed documentation of deployment configurations, processes, and procedures.

· Monitor deployment processes and environments to identify and resolve issues promptly.

· Perform post-deployment validation to ensure systems are functioning as expected.

· Work closely with development, operations, and security teams to ensure successful deployments.

· Communicate deployment status, issues, and resolutions to stakeholders.

· Develop and maintain automation scripts to streamline deployment processes is a plus.

· Utilize tools such as PowerShell, Ansible etc to automate repetitive tasks and ensure consistency is a plus.

JOB REQUIREMENTS:

· Bachelor’s degree in computer science, Information Technology, or a related field.

· Proven experience with hypervisors (vSphere, Nutanix, Hyper-V) and deployment processes.

· Strong knowledge of network switches, firewalls, and storage solutions.

· Hands-on experience with system services such as Active Directory, DHCP, DNS, failover clusters, file servers, and Certificate Authority.

· Proficiency in automation and scripting tools (e.g., PowerShell, Ansible).

· Excellent troubleshooting and problem-solving skills.

· Strong communication and teamwork abilities.

· Relevant certifications (e.g., VMware Certified Professional, Microsoft Certified: Azure Solutions Architect, Nutanix) are a plus.

Job Scope:

• Responsible for development of ETL using Oracle Data Integrator (ODI) and setup of processing structures in order to facilitate periodic data loads or creation of batches for transmission to other applications.
• Responsible for supporting the ODI processes that continuously collect data from multiple upstream applications, and subsequent integration of data repository.
• Responsible for optimizing, tuning, performance improvement to support near real-time data processing.
• Responsible for implementing data validation based on business requirements.
• Work collaboratively as part of the team responsible for the data collection applications to design develop, and support the end-to-end processes, taking the lead on strategy and design of all ETL processes.
• Provide highly responsive analysis of issues to diagnose and resolve with sense of urgency.

Job Qualifications:

• Degree in Computer Science or equivalent.
• At least 3 years of Oracle Data Integrator (ODI) experience is a must. ODI expertise in Topology, Knowledge Modules, Change Data Capture and Metadata Management.
• Knowledge of data modeling concepts.
• Experience in developing complex ODI processes and complex PL/SQL code is a must.
• Skills in Oracle ODI (Data Integration) 12c, SQL/PL-SQL tuning and performance improvement, UNIX scripting, Automic or any scheduling software.
• Must have ODI experience in a data migration / data transformation environment.
• Must have extensive and recent ODI design and development experience.
• Experience of working as a Consultant on large scale projects.

Interested candidates can click apply for more information.

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

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultants.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012.

Rallonza Bernice Mae Nocum | EA License No. 02C3423 Personnel | Registration No. R1442141

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

TikTok will be prioritizing applicants who have a current right to work in Singapore and do not require TikTok's sponsorship of a visa.

About TikTok

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, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team

The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.

What you will be doing:

1. Responsible for the design and development of distributed database Hbase-related components.

2. Responsible for the design and development of single-node LSM engine Rocksdb-related components.

Qualifications

What you should have:

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 4+ years of relevant development experience in the field with a strong programming ability, and proficiency in one of C/C++/Java;

- In-depth understanding of the architecture and principles of distributed systems;

- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data.

Preferred Qualifications:

- Embrace the use of open-source software, possess a track record of involvement in open-source projects, and demonstrate a keen enthusiasm for engaging with the latest and most advanced technologies.

- Exhibit knowledge in distributed consensus algorithms like Paxos/Raft.

- Show familiarity with distributed transaction models.

- Demonstrate proficiency in typical storage engines, including RocksDB, and have a deep understanding of the inner workings of Redis at the low-level code level.

- Display expertise in low-level aspects of operating systems, with a background in optimizing system performance for TCP/IP, I/O operations, and other critical component

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.

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

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About the team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users. We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, stable and high-performance storage and computing systems

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive date and large-scale business systems

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software

- Applying data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets

- Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

Minimum Qualifications

- Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience

- Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.

- Experience in programming, including but not limited to, the following programming languages: c, C++, Java or Golang

- Effective communication skills and a sense of ownership and drive

- Experience of Peta Byte level data processing is a plus

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:

• Design and implement robust, scalable data pipelines and architectures to support data ingestion, processing, and storage. Including performance optimizations for data modeling and ingestion
• Develop and optimize complex SQL queries and stored procedures for data extraction, transformation, and analysis.
• Model data to meet different use casesng applications and automate data workflows.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
• Lead the integration of data from various sources into data lakes and warehouses, ensuring data quality and consistency.
• Monitor and troubleshoot data pipelines and workflows to ensure optimal performance and reliability.
• Communicate with and support data users
• Document data processes, data models, and architectural designs to ensure knowledge sharing and compliance with best practices.

Prerequisites:

• Experience: Minimum 3 years in data engineering fields with system integration, and at least 1 year in system integration and implementation in cloud/web-based environments.
• Proven Solutions: Demonstrated experience in providing effective, working solutions and implementations, particularly in cloud-based environments.

Technical Skills:

• Solid understanding of ETL processes, data warehousing concepts, and data modeling best practices.
• Proficiency in Databricks, Azure Data lake, PowerBI, Tableau and related data processing and visualisation software.
• Familiarity with Windows, Linux, AWS and/or Azure platforms.
• Strong programming skills in languages such as Python and R is a must
• Proficiency in other programming languages such as Java, Scala and C# will be advantages
• Experience in data processing frameworks (e.g., Apache Spark, Apache Flink)

Preferred Exposure:

• Experience with large-data management system with visualisation tools.
• Experience with Data Integration and ETL Pipelines, Data Warehousing and BI reporting projects.
• Experience with Singapore Government Project will be advantages

Personal Attributes:

• Excellent problem-solving skills
• Ability to work independently
• Collaborative in a fast-paced environment

Why Join Us?
Be part of a forward-thinking team that is transforming government digital services. If you are passionate about technology and innovation, and thrive in a dynamic environment, we want to hear from you!

If you are passionate about building partnerships and driving growth, we would love to hear from you!

Toppan Ecquaria is an equal opportunity employer and values diversity within our company. We welcome all interested candidates to apply for this position, however, we regret to inform that only shortlisted candidates will be contacted by us for an interview.

Find us at www.topppanecquaria.com or www.linkedin.com/company/toppan-ecquaria

For more career opportunities, please visit our career site at:- https://toppanecquaria.com/careers/job-openings?utm_source=Jobstreet&utm_medium=Page&utm_campaign=2020 (Please copy & paste the above link onto your browser)

Job Description & Requirements

Responsibilities

Analyze and organize raw data

Build data systems and pipelines

Evaluate business needs and objectives

Interpret trends and patterns

Conduct complex data analysis and report on results

Prepare data for prescriptive and predictive modeling

Build algorithms and prototypes

Combine raw information from different sources

Explore ways to enhance data quality and reliability

Identify opportunities for data acquisition

Develop analytical tools and programs

Collaborate with data scientists and architects on several projects

Requirements and skills

Previous experience as a data engineer or in a similar role

Technical expertise with data models, data mining, and segmentation techniques

Knowledge of programming languages (e.g. Java and Python)

Hands-on experience with SQL database design

Great numerical and analytical skills

Degree in Computer Science, IT, or similar field; a Master’s is a plus

Data engineering certification (e.g IBM Certified Data Engineer) is a plus

2. SKILLS

Data Analysis

Analytical Skills

Pipelines

Segmentation

Hadoop

Architects

ETL

Data Quality

Reliability

Data Engineering

Data Mining

SQL

Predictive Modeling

Python

Database Design

Java

Ever got an inner-passion of interacting with people? Working with like-minded individuals that is forward-thinking, solution-driven, and environment-based team!

YOUR MISSION IF YOU CHOOSE TO ACCEPT:

- Applying client's products & services knowledge onto potential stakeholders

- Experiencing a wide-range of Events/Roadshows through face-to-face interaction with people

- Expand your leadership/mentorship skillsets

OUR REQUIREMENT SHOULD YOU BE CONSIDERED:

- Enjoys working in a team, passionate in helping our clients increasing their high-value assets

- Confident in securing 10-15 pieces of sales in a week

ADDITIONAL NOTES:

- Includes commissions and performance bonuses

- All gender, and backgrounds are welcome! (Aged 18-30)

- A fun, vibrant, and spontaneous working environment all around!

- Occassional travelling opportunities with the organisation!

"You only miss 100% of the shots you don't take."

Worth a shot applying to find out the career you can build together with us!

Job Description:

• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decisionmaking at all levels of the organization.
• Data Modelling and Transformation: Design, implement, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Cross-functional Supports: Collaborate with other teams to ensure the successful execution of projects and initiatives.
• Operational supports: Maintain and support day to day operational on data platform, including:
• Monitoring data pipelines, databases, and analytical processes to ensure smooth and continuous operation.
• Identify and resolve data-related issues, performance bottleneck, and data quality problems promptly.

Job Requirements:

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

Please send your detailed resume in MS Word format to : [email protected]

Stating your notice period / earliest available commencement date, Current & expected salaries.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

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. Kindly indicate #66104 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

JD:
o Good programming skills in Python
o Must possess experience or interest in training and deploying machine learning models end to end.
o Good understanding of basic statistics and deep learning techniques
o Prior experience in data integration, profiling, validation and cleansing
o Proficiency with SQL
· Software delivery
o Strong understanding of agile methodologies
o Strong understanding of CI/CD
o Strong understanding of test-driven development
o Comfortable using version control and enterprise task management tools.
· Data Engineering
· Experience in deploying TensorFlow and PyTorch into production
o Building data pipelines and architecture
o Should have extensive experience with relational and NO-SQL databases
o Should have proficiency in handling both structured and unstructured data sources
o Strong experience deploying applications to cloud platforms like Azure, AWS
o Interest in building efficient batch and streaming data engineering pipelines
o Exposure to distributed data processing platforms like Spark?.Data Engineer

Job order: 828162

Responsibilities:

• Create monthly Demand & Supply plan and negotiate with Distributor.
• Explain Demand & Supply thinking way to cross function team so as to secure production allocation
• Good overview of Indonesia market, promotion activities and competitor situation to explain to internal stakeholders
• Visualize and summarize distributors requests to ensure production supply
• Visit distributor and dealers regularly to gather feedback
• Monitor sales achievement daily/monthly
• Ad-hoc duties assigned by manager

Requirements:

• Degree in Business/Economics/related fields
• Non experienced graduates are welcome as this is an entry level role
• Basic knowledge of demand & supply concept

To apply, kindly click apply or email updated resume to [email protected]

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:

https://goodjobcreations.com.sg/en/privacy-policy/
EA Personnel name: Chong Gui Feng
EA Personnel Registration Number: R1768033
EA License no.: 07C5771

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction