Position Summary:

This role serves as a data evangelist, focusing primarily on Data & ML Engineering with a robust understanding of Data Science and data analysis experience. The ideal candidate will be proficient in the Snowflake and Azure technology stacks, Qlik Visualization, DevOps processes, and ML ops processes. While knowledge of logistics is a plus, a willingness to learn the domain is essential.

Roles & Responsibility

• Build and manage Data & ML Engineering projects.
• Develop and maintain data/ML pipelines using Snowflake and Azure.
• Create and implement data visualizations using Qlik.
• Ensure seamless integration and deployment of models through DevOps and ML ops processes.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Advocate for data-driven decision-making across the organization.
• Promote data literacy across the BU.

Qualifications

• Minimum of 3+ years of end-to-end implementation experience in data warehouse and data management projects. Freshers from reputed institues in the field of data science with quick grasping knowledge will be considered.
• Extensive hands-on experience architecting and delivering solutions on the Azure Data platform, Snowflake, SnowPark, ML Ops and DevOps
• Logistics, and Transportation domain experience, as well as its associated data standards, is preferred.
• Agile/DAMA/Azure certification is a plus
• Experience in engaging both technical and non-technical stakeholders with a proactive and positive attitude.
• Strong personal effectiveness as a team player, change agent and demonstrated perseverance to drive and achieve desired outcomes.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Strong communications skills.

KEY ACCOUNTABILITIES

• Maintain and adopt Agile best practices and lifecycles for process workflows (e.g., Kanban, CI/CD)
• Collaborate with business users and business analysts to refine and understand both functional and non-functional requirement during SIT & UAT stages.
• Develop automated test scripts to validate functional and technical requirements in data processing pipeline and to perform data quality checks
• Collaborate with data analysts in profiling data and monitoring data trends
• Collaborate with Developers/DevOps Engineers on code management, peer review, continuous integrated testing in CI/CD pipelines
• Assure quality at different phases of SDLC by adhering to process and strategies defined by Eastspring IT
• Execute manual / automated / exploratory tests and provide QA sign-off to business users for releases
• Maintain test process, design and execution artifacts in test management system complying the audit regulations
• Prepare testing traceability reports and other testing metrics

QUALIFICATIONS / EXPERIENCE

• Recognized degree or higher in Computer Science or related Engineering fields.
• At least 8 years of working experience in Test Automation, using test frameworks for Database (ETL Testing) and Data analytical testing.
• Working knowledge in testing Data management platform tools same-as/similar-to ‘Golden Source’
• Sound knowledge in Java programming, SQL queries and Cucumber (Java) testing framework.
• Good knowledge in testing scheduling/orchestration tools (like Control-M, Azure Data Factory)
• Working knowledge of relational databases and comfortable with testing SQL jobs and stored procedures with awareness of data security.
• Basic understanding of data quality, profiling, and analytics concepts.
• Working experience with test management tools such as Jira with Xray / Zephyr
• Working knowledge of tools such as bitbucket, Jenkins, confluence and familiar with Git branching model
• Working experience in Agile projects, Behavior Driven Development (BDD) approach to software development and testing.
• Good to have basic programming knowledge in Python
• Good to have knowledge of Azure cloud platform.
• Good to have working experience in investment Bank or Asset Management industry.

OTHER TRAITS

• Positive attitude and collaborative mindset.
• Willing to work across projects and perform manual / automation / exploratory testing
• Highly motivated to keep abreast with the latest development in technology and to acquire deep technical knowledge and skills.
• Excellent communication, presentation, and interpersonal skills.

• Employ statistical modeling and machine learning to diagnose customer issues, pinpoint root causes, and provide actionable solutions.
• Partner with field engineers to analyze plasma etching system data, delivering timely, accurate, and insightful reports to drive improvement.
• Clearly communicate complex data analysis findings to both customers and internal teams, presenting results in a concise and understandable manner.
• Develop sophisticated statistical and machine learning algorithms to extract valuable insights from large, complex datasets, and collaborate with engineering teams to assess their effectiveness.
• Share best practices and contribute to cross-functional data science initiatives with global data engineering teams.
• Oversee and maintain internal analytics solutions, ensuring data integrity, accuracy, and continuous improvement.
• Develop and conduct training sessions on data analytics tools like JMP and KNIME to empower local engineers.
• Undertake other assigned tasks as needed.

Requirements:

• Holds a degree or master's degree in Microelectronics, Data Science, or a relevant field.
• Possesses a minimum of 3 years of experience in semiconductor manufacturing equipment, semiconductor fabrication, semiconductor parts/peripherals, or a related industry.
• Proven track record as a Data Scientist in the semiconductor industry, specializing in plasma dry Etch processes.
• Skilled in developing and implementing algorithms to optimize processes and solve problems.
• Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modeling.
• Proficient in using various data science tools and programming languages (Python, JSL, R, etc.) for data manipulation, visualization, and analysis.
• Excellent communication skills and ability to work effectively in a team environment, building strong relationships with customers.
• Meticulous, organized, resourceful, highly motivated, and capable of independent work.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24993

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

We regret that only shortlisted candidates will be notified.

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

This is in partnership with the 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 GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Databricks Engineer (Databricks, Python or PySpark)

12 Months Renewable Contract

The Databricks Engineer is responsible for migrating from as-is on-perm data warehouse to Databricks and should have sound knowledge of Databricks. Requires good understanding of data architecture, cloud solutions, building and maintaining a robust, integrated, and governed data infrastructure. The role involves extracting valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities:

• Lead end to end data migration project from on-premises environments to Databricks with minimal downtime.
• Work with architects and lead solution design to meet functional and non-functional requirements.
• Hands on experience in Databricks to design and implement the solution on AWS.
• Hands on experience in configuring Databricks clusters, writing Pyspark codes, build CI/CD pipelines for the deployments.
• Highly experienced in optimization techniques (Zordering, Auto Compaction, vacuuming)
• Process near real time data through Auto Loader, DLT pipelines
• Must have strong background in Python and able to identify, communicate and mitigate risks and issues.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity.
• Optimize AWS, Databricks resource usage to control costs while meeting performance and scalability requirements.
• Stay up to date with AWS, Databricks services, and data engineering best practices to recommend and implement new technologies and techniques.
• Proactively implement engineering methodologies, standards, and leading practices.

Requirements / Qualifications:

• Bachelor’s or Master’s degree in computer science, data engineering, or a related field.
• Minimum 5 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modelling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.
• Experience in AWS Services focusing on data and architecting.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with data visualization tools like Tableau or Power BI.
• Understanding of DevOps principles for managing and deploying data pipelines.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

Information:

• Salary: $2400 - $2800 Basic
• Attendance: $40
• Normal working hours: Mon-Fri, 8am-5pm / or Weekly Shift Rotation
• Company transport at various location in the west

Responsibilities:

• Perform sampling incoming quality inspection
• Perform using equipment such as Vernier Caliper, Micrometer, Guages, Profile Projector and Smart Scope

Requirements:

• ITE/Diploma in Engineering
• Entry level

Interested applicants, send in your updated resume by clicking “Apply Now”.

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

We are looking for a skilled Data Engineer with strong development skills to join our dynamic consulting team. In this role, you will play a key part in designing and building scalable, high-performance data pipelines and applications, while working closely with clients to understand their unique data needs and deliver tailored solutions.

This position requires a solid foundation in data preparation, backend development, and API integration, with a primary focus on Python and React.js for frontend. You will be involved in all phases of the data lifecycle, providing technical leadership, and ensuring successful project delivery through close collaboration with clients.

Key Responsibilities:

· Client Interaction: Lead client interactions, including requirement gathering, technical discussions, and workshops to clearly define project goals and data solutions.

· Data Pipeline Development: Design, develop, and maintain robust data pipelines to process, cleanse, and transform large datasets for various applications.

· Full-Stack Development: Build secure, scalable APIs and integrate third-party services, databases (SQL, NoSQL), and systems while contributing to the development of user interfaces using React.js.

· API Integration: Develop and integrate APIs for seamless data flow between systems, ensuring high performance and security.

· Data Preparation & Processing: Implement data preparation techniques to clean, organize, and structure raw data for analysis, ensuring data readiness for machine learning and AI applications.

· Emerging Technologies: Explore and gain hands-on experience with emerging technologies such as Large Language Models (LLM) and Retrieval-Augmented Generation (RAG).

· Cross-Functional Collaboration: Collaborate with cross-functional teams to deliver high-quality projects within agreed timelines, ensuring optimal data performance and security.

· Continuous Improvement: Stay updated with the latest industry trends and technologies to drive innovation in data engineering projects.

Requirements:

· Passion for Emerging Technologies: A strong interest in staying ahead of the curve with new technologies like Large Language Models (LLM) and Retrieval-Augmented Generation (RAG), with a desire to continuously learn and integrate these into client data solutions.

· Data Engineering Expertise: Minimum of 3 years of experience in data engineering, with a strong focus on Python for backend data processing and React.js for frontend interface development.

· API Development and Integration: Expertise in building and integrating RESTful APIs for data flow and system integration, with experience working with SQL and NoSQL databases.

· Data Preparation Skills: Strong understanding of data preparation, ETL processes, and transforming unstructured or semi-structured data into structured formats.

· Infrastructure and Cloud Knowledge: Solid understanding of infrastructure, cloud platforms (Azure, AWS, GCP, Alibaba Cloud), and familiarity with network and security best practices.

· Consulting Experience: Ability to engage with clients through requirement gathering, leading workshops, and providing technical solutions that align with their data-driven business needs.

· Agile and Version Control Skills: Familiarity with agile methodologies and version control systems like Git, ensuring smooth collaboration and project efficiency.

· Problem Solving & Communication: Strong problem-solving skills with the ability to communicate complex technical information effectively to both technical teams and non-technical clients.

· Client-Focused Approach: Ability to understand client needs and translate them into scalable, high-performance data solutions that deliver value and enhance user experience.

· Track Record: Proven experience leading technical projects, guiding the data development lifecycle from requirements gathering to deployment, while ensuring quality and client satisfaction.

Responsibilities:

Manage and maintain large-scale data center infrastructure and facilities for continuous 24x7 operations in rotating shifts.

Job Description:

• Support continuous operation of data center infrastructure with 24x7 monitoring.
• Act as Level 1 escalation point for operational incidents, responding within SLA.
• Document all requests in the internal Web Portal ticketing system.
• Ensure compliance with ITIL processes for incident, problem, and change management.
• Implement safety, security, and customer support policies effectively.
• Coordinate with contractors, vendors, and inspect completed work.
• Plan and execute preventive and reactive maintenance activities with minimal service disruption.
• Support internal and external audits and generate reports as needed.
• Perform other duties and projects as assigned by management.

Requirements:

• ITE Certificate or Diploma in Computing, Electrical, Mechanical Engineering, or related field.
• Minimum 1 year of relevant experience in 24x7 data center or facility operations.
• General knowledge of Mechanical & Electrical (M&E) and Network Critical Infrastructure.
• Detail-oriented team player capable of working under pressure in a fast-paced environment.
• Available for 24x7 standby and recall as needed.
• Rotating 12-hour shifts, including weekends and public holidays (3 days' work, 2 days off).

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

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

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.

As a Lead Data Analyst, you will play a critical role in guiding strategic decision-making by providing insights from data. You’ll oversee a team of Data Analysts, Engineers and Scientists and collaborate with cross-functional teams, and deliver actionable recommendations to improve game development, player engagement, and operational efficiency.

Key Responsibilities

• Team Leadership: Lead, mentor, and develop the team, fostering a culture of collaboration and continuous learning.
• Data Strategy: Develop and implement data analysis strategies to support game development and business operations.
• Analytics and Reporting: Design and deliver insightful dashboards, reports, and presentations for various stakeholders, ensuring data-driven decision
• Collaboration: Work closely with game development teams, marketing, and other departments to identify opportunities for leveraging data.
• Data Quality and Governance: Ensure data integrity, accuracy, and security by defining and enforcing governance standards.
• Innovation: Stay up-to-date with the latest analytics technologies and methodologies, incorporating them into the team's workflows.

About Us

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.

Responsibilities

1. Provide actionable insights to drive SEA business growth, and improvement of operational efficiency.
2. Leverage data analysis expertise to design data solutions to solve commerce operation/product problems such as supply growth, seller growth and marketplace efficiency etc.
3. Partner closely with key stakeholders to monitor, diagnose and optimize overall business performance and health.
4. Provide in-depth analysis with localized suggestions for improvements to align with business goals.
5. Build and improve data infrastructure such as dashboards and self-serve analytics tools to improve efficiency and support decision-making.

Qualifications

Minimum Qualifications

1. At least 3 years of working experience in data analytics, with a bachelor's degree or above.
2. Proficient in SQL, Python or R, and expertise in at least one of the three areas: advanced measurement (e.g AB testing, causal inference or systems with complex trade-offs), modeling, and optimization.
3. To succeed in the role, you need to be a proactive, self-driven and impact-driven person.

Preferred Qualifications

1. Able to work with cross-functional teams in a fast-paced environment.

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.