This is a 12 month contract role based in Singapore

The Day-to-Day Activities
1. Generate data-driven hypotheses to solve key Product/Business problems
2. Use data to identify trends, spot anomalies and deepdive into their root causes
3. Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions, deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems
4. Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection, consolidate data from multiple sources to create integrated and scalable views that can be used to drive decision making
5. Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements
6. Work closely with stakeholders to understand their needs/ pain points to scope up their problems and enhance internal processes through automation and improve productivity

Essential Experience / Criteria:
1. 1-2 year of experience in data analytics related roles analyzing large data sets and informing company strategy
2. Strong statistical knowledge, meticulous attitude towards data, and proficient in running experiments
3. Strong data visualization skills. Experience in creating dashboard reporting in Tableau, PowerBI or a similar visualization tool
4. Strong SQL skills and experience in scripting languages such as Python or R
5. Experience in building & maintaining data pipelines to serve data needs of different projects
6. Problem solver: ability to evaluate and design creative solutions for various tasks in a timely manner
7. Effective communicator: able to effectively communicate the analytical findings and convey clear messages

Key responsibilities:

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Kubernetes based platforms.

You will also be responsible for quality assurance of the team’s delivery in conformance with the Bank-defined software delivery methodology and tools. You will partner with other technology functions to help deliver required technology solutions.

Other responsibilities include:

- Create frameworks, technical features which helps in faster implementation of OpenShift Kubernetes based applications

- Carry out POCs involving new data technologies, new container platforms, sidecars, daemonsets

- Design and develop application frameworks for container integration

- Create technical documents such as solution design, program specifications for target solutions

- Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation

- Maintain and recommend software improvements to ensure a platform centric management of software applications

- Performance tuning

- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

- Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

- Independently install, customise and integrate software packages, programs, product releases

Functional skillsets

- Degree holder or equivalent relevant qualification

- Should have more than 10 years of relevant experience.

Hands-on experience in implementing large scale data warehouse & analytics platforms in financial services industry with good functional knowledge of products & services offered in Retail bank / Wholesale / Global Markets covering some of the following analytics domains:

- Experience in deploying stateless, stateful workloads on OpenShift Kubernetes based platform

- Experience in developing microservices applications using node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Experience in developing frameworks using Spark, Scala, Java, Python

- Experience in working with in-memory applications

- Strong knowledge of Operating Systems

- Experience in container deployment management using either Helm Package manager or Kustomize

- Experience in integrating container applications with an external security vault such as CyberArk Conjur, AAM

- Experience in deployment automation of container applications using Jenkins, Jfrog, Gradle, Bitbucket, Groovy

- Expertise in implementing appropriate security of data (SSL, Encryption)

- Expertise in Load balancing and replication, scheduling

- Good knowledge of Custom Resources, Docker, Taints & tolerances, Node affinity, ConfigMaps

- Experience in Shell scripting, Control-M

- Expertise in design of role based fine grained access control

- Supporting application failures, planning for resiliency, Back-up Recovery

Technical skillsets

- Platforms provided by IBM Cloud Pak for Data (CP4D)

- Kubernetes based platforms such as OpenShift, AWS, Azure, GCP

- Software defined storage (ODF)

- IBM Storage Fusion

- S3 compatible storage options (Dell ECS, HCP)

- Node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Scala, Java, Python

- Helm Package manager, Kustomize

- Jenkins, Jfrog, Gradle, Bitbucket, Groovy

- Shell scripting, Docker

- Splunk, Prometheus, Geneous

At least, 2 to 3 technical certifications in any of the below technologies:

1. OpenShift

2. Kubernetes, Docker

3. Language – SQL, Java, Python, Scala

4. Automation / scripting – CtrlM, Shell Scripting, Groovy

• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage

• Analyse the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues.

• Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

To assist with data entry tasks and general administration.

Job Responsibilities:

• Accurately enter and update data working with spreadsheets and student admin system
• Verify and cross-check the information to ensure accuracy
• Organize and maintain data files
• Assist with other clerical duties as needed
• Any other duties as assigned by the supervisor

Knowledge and Skills:

• Competent in MS Office and Google applications, and basic internet navigation skills (preferably strong in MS Excel Skills)
• Proficiency in either English or Chinese, or both

Personal Attributes:

• Responsible, reliable and able to follow instructions
• Meticulous with a keen eye for detail to ensure work accuracy
• Good time management and organizational skills

Availability: Must be available up to 31 Dec 2024

If you're looking to gain experience and improve your skills, apply today by sending your resume to [email protected]

We are seeking a highly motivated Data Engineering Intern to gain hands-on experience in building data infrastructure. You'll develop your problem-solving skills by contributing to the design and implementation of data pipelines and storage solutions. This internship offers an opportunity to learn from experienced engineers within a fast-paced environment, while contributing to the agile development cycle.

ROLES AND RESPONSIBILITIES

• Assist Data Scientists, Data Engineers, and Analysts in building and managing data products, including the SISTIC Data Warehouse/Data Lake.
• Contribute to data pipeline development by learning from experienced engineers and assisting with tasks like design, testing, and documentation.
• Learn to identify and troubleshoot issues in existing data pipelines, gaining experience for future improvements.
• Gain exposure to building data pipelines by working on smaller components or contributing to specific stages.
• Support data warehouse and database maintenance under the guidance of senior engineers.
• Learn to monitor data pipelines and identify potential issues.
• Write clean and well-documented code under the supervision of experienced engineers.
• Gain experience with data ingestion techniques like scripting, web scraping, APIs, and SQL queries.
• Participate in code review sessions to learn from best practices and improve understanding.

SKILLS AND EXPERIENCE REQUIRED

• Strong foundation in computer science or a related field (e.g., coursework, projects)
• Core engineering concepts: Demonstrate a strong desire to learn about core data engineering concepts, such as data pipelines (ETL processes) and data storage solutions (data warehouses and data lakes). Familiarity with Google Cloud Platform would be a plus.
• Strong foundation in Python and SQL: This demonstrates the intern's ability to work with data manipulation tools commonly used in data engineering.
• Interest in learning Apache Spark (PySpark): This highlights the intern's desire to explore big data processing frameworks relevant to the field.
• Big data analytics: Demonstrate a basic understanding of the Hadoop ecosystem, including concepts like distributed storage and parallel data processing.
• Understanding of data warehousing and data lake concepts.

We are looking for a seasoned Data Engineer with over 10 years of experience in Big Data technologies, PySpark, Data Warehousing, and Cloud Data Platforms. The ideal candidate will have extensive expertise in designing and developing data pipelines and transforming data using tools such as Azure Data Factory, Azure Databricks, Ab Initio, Teradata, and SSIS.

The role involves working with PySpark and Spark SQL to perform data extraction, transformation, and aggregation from multiple sources and file formats. A strong understanding of Spark architecture and hands-on experience with Hive, HDFS, JSON, ORC, and Parquet is essential. The candidate should also have experience in data warehousing techniques such as slowly changing dimensions (SCD), surrogate key assignment, and change data capture (CDC).

Proficiency in Python and Unix shell scripting, along with Airflow, Control-M, and Autosys for orchestration, is required. The ideal candidate will be involved in end-to-end ETL implementations, including requirements gathering, database and process design, implementation, testing, and production support.

Certifications such as Databricks Certified Associate Developer for Apache Spark, Azure Data Engineer Associate (DP-203), and Teradata 14 Certified Professional are highly desirable

We are seeking a highly skilled Data Engineer with over 10 years of experience in Big Data Analytics, Data Engineering, and Cloud Technologies. The candidate will be proficient in working with large datasets and possess deep expertise in Apache Spark, PySpark, HDFS, Kafka, and Azure Databricks.

Key responsibilities include designing, developing, and maintaining data pipelines using tools such as Azure Data Factory, Azure SQL Data Warehouse, and PL/SQL. The role involves working with both structured and unstructured data, performing ETL/ELT workflows, and developing solutions that provide business insights. Experience with Informatica, SAS, and data lakes is highly desirable.

The ideal candidate will have a proven track record of working in Agile/Scrum environments, collaborating with cross-functional teams, and managing production issues within SLAs. Strong experience with predictive modeling, data quality checks, and dashboard reporting is essential.

Certifications Highly Desirable:

Databricks Certified Data Engineer Professional

Azure Data Engineer

Azure Fundamentals

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

This is a 9 months contract for a start based in Singapore

Experience in CPG, Banking or Technology Sector is preferred

Responsibilities:

• Engage and influence executive internal and external relationships within the client and industry, and build, customize, and deliver solutions through the right forums (e.g., workshops, presentations, etc.) to achieve outcomes.
• Help create forward-thinking and data-driven points of views, narratives, and business pitches to support client/partner business. Help clients/partners understand and reach their consumers using industry, marketing, and/or third-party research.
• Serve as an industry expert by developing and creating industry point of views and insights (e.g., qualitative/quantitative) using a variety of internal and external sources.
• Advise clients on methodologies for marketing and media strategy, and help customers navigate industry standards and alternatives.
• Communicate content and outcomes of complex analyses in a simple, understandable way to different audiences, through written or verbal forms

Preferred qualifications:

• Ability to manage large and complex data sets with analytical mindset and knowledge across all value chains of data (e.g., pull strategic insights, extract and clean data).
• Ability to influence an audience by crafting points of views (POVs) using data that elicits empathy or creates buy-in, and partner with, orchestrate, lead, and influence clients, partners, and/or service providers as a trusted advisor.
• Ability to interact with C-suite leaders to present/defend/clarify concerns or issues regarding an existing project, program, or solution.
• Knowledge of SQL is a plus

• West Location
• Reputable Transportation Company
• Good company benefits

As a Data Administrator, you will be responsible for the following duties:

• Verify details (Model/ Mover/ Company Name)
• Verify if inspection is required
• Determine if the customer is using our account or their own account for inspection
• Review Before & After Repair Photos
• Upload Photos to ensure all billed items have corresponding photos
• Check all WhatsApp messages
• Ensure every completed job is accounted for and submitted in system
• Review job scope details
• Verify unclear issues with workshop workers or prepare to address potential errors
• Based on system requirement, list out the complete job scope in the maintenance report
• Email the maintenance report to the customer
• Email the billing department with necessary details
• Purchase goods or services that meet the quantity and quality expectations of the organization
• Evaluate and negotiate contracts with vendors
• Track inventory and restock goods when needed
• Stay up to date on industry trends and new products
• Compare available goods with industry trends to determine appropriate pricing

Requirements

• Candidate who is IT savvy will be an added advantage
• Candidate who have 1 year of administrative/ customer service experience will be an added advantage

To apply, simply click on the ‘’apply’’ button in the job advertisement or alternatively, you can send in your resume via email
Email Address: [email protected]

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

ALLIED SEARCH PTE. LTD.

EA LICENSE : 19C9777

Responsibilities:
Model Development:
● Develop and refine machine learning models to improve chatbot performance intasks such as intent classification, dialogue management, and sentiment analysis.
● Experiment with different models and algorithms to achieve optimal results.
● Collaborate with engineers to integrate models into the VICA platform.

Data Analysis:
● Conduct in-depth analysis of VICA interaction data to identify patterns, trends, and areas for improvement.
● Utilize statistical techniques and visualization tools to communicate findings effectively.
● Develop key performance indicators (KPIs) to measure chatbot effectiveness and track progress.

Natural Language Processing:
● Apply NLP techniques to understand user queries, extract relevant information, and generate appropriate responses.
● Explore cutting-edge NLP methods to enhance chatbot capabilities.

Innovation:
● Stay up-to-date with the latest advancements in machine learning, NLP, and chatbot technologies.
● Propose and implement innovative solutions to address chatbot challenges and improve user experience.

Collaboration:
● Work closely with engineers, product managers, and other stakeholders to ensure that data-driven insights are effectively integrated into the VICA platform

Qualifications:
* Min. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
* Proven experience in data analysis and machine learning with tools including but not limited to: Python and libraries like scikit-learn, TensorFlow, or PyTorch.
* Strong understanding of Natural Language Processing (NLP) concepts and techniques.
* Experience working with real-world, large-scale datasets.
* Excellent communication and collaboration skills.
* Ability to work independently and manage multiple projects simultaneously.
* Passion for innovation and a strong desire to contribute to Singapore's Smart Nation vision.

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Location: East

Mon to Fri 9am to 6pm

Salary: $2500 to $3300 depends on experience

Work life balance-Go back home on time

Training provided

Job Description

• Supporting role for Sales team.
• Processing purchase orders and expediting delivery schedules
• Interact, engage and/or respond directly to customers’ needs & requirements.
• Occasionally required to visit valued customers along with our sales persons to co-address critical business related issues such as ordering management, forecasting, pricing and so forth.

Requirements

• Able to communicate in both Mandarin and English fluently to liaise with customers
• Cheerful personality
• Able to start work immediately
• Fresh/Entry level welcome as training provided

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Seeking skilled and motivated Intermediate Data Engineer to join our dynamic team.

Industry: Banking Industry

Min 5yrs Data Engineer work experience

Work Location: Changi Business Park

The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.
• Locals to apply

NOTE : Interested applicants, Pls send CV to [email protected] (ES Recruitment Pte Ltd 09C4235, R1103307 Hong Mei Lin)

About the Role:

• Execute digital programs under Solutioning Team under Restructured Digital Solutions
• Manage and support Ops BUs in engagement with clients on tech deployment matters
• Collaborate with Remote Operations Centre in establishing standard work flows in managing CMMS or Smart FM processes after office hours
• Collaborate with Smart FM/IoT Team to build use-cases for project deployment
• Establish and develop features and apps under Smart FM framework to meet client expectations
• Planning and developing low-code solutions to bridge Smart FM gaps
• Apply global data standards for FM service trade
• Work with Ops BUs to identify tech projects to collaborate with
• Meet all project timelines specified by Project Leaders
• Support other digital solution functions as and when required
• Any other instructions from senior management

About You:

• Diploma / Degree in Smart FM / Building / Automation or Facilities Management or equivalent.
• Excellent communication and interpersonal abilities.

Why join Cushman & Wakefield?

As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from;

• Being part of a growing global company;
• Career development and a promote from within culture;
• An organisation committed to Diversity and Inclusion

We're committed to providing work-life balance for our people in an inclusive, rewarding environment.

We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.

We have a vision of the future, where people simply belong.

That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, gender, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us.

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

Job Summary

An exciting opportunity for Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation cloud-based data platforms.

Mandatory Skill-set

• Degree in Data Engineering, Computer Science, Information Technology;
• At least 5 years of experience in data engineering and modelling;
• Strong hands-on exposure in data science, data analytics and / or data engineering;
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage;
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
• Good understanding in using cloud technologies such as AWS, Azure, and Google Cloud;
• Experience with orchestration frameworks such as Azure Data Factory, Airflow;
• Experience with distributed data technologies such as Spark, Hadoop;
• Proficiency in programming languages such as Python, R, Java, or Scala;
• Familiarity with building and using CI/CD pipelines;
• Familiarity with DevOps tools such as Git, Terraform, Git;
• Strong hands-on exposure with ETL Extract, Transform, Load tools;
• Possess strong written and verbal communication abilities, effectively conveying information to various stakeholders.

Desired Skill-set

• Experience in designing, building, and maintaining batch and real-time data pipelines;
• Experience with Databricks or Snowflake.

Responsibilities

• Work closely with the various team in architecting, designing and building ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products; ensure maximum database uptime;
• Monitoring of databases and ETL systems for database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence;
• Construct, test, and update useful and reusable data models based on business data needs;
• Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures;
• Assist to maintain master data catalogue to document data assets, metadata and lineage;
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data;
• Involved in managing production services that provide analytics capabilities to our various data users across the division.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

The Day-to-Day Activities
1. Generate data-driven hypotheses to solve key Product/Business problems
2. Use data to identify trends, spot anomalies and deepdive into their root causes
3. Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions, deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems
4. Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection, consolidate data from multiple sources to create integrated and scalable views that can be used to drive decision making
5. Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements
6. Work closely with stakeholders to understand their needs/ pain points to scope up their problems and enhance internal processes through automation and improve productivity

Essential Experience / Criteria:
1. 1-2 year of experience in data analytics related roles analyzing large data sets and informing company strategy
2. Strong statistical knowledge, meticulous attitude towards data, and proficient in running experiments
3. Strong data visualization skills. Experience in creating dashboard reporting in Tableau, PowerBI or a similar visualization tool
4. Strong SQL skills and experience in scripting languages such as Python or R
5. Experience in building & maintaining data pipelines to serve data needs of different projects
6. Problem solver: ability to evaluate and design creative solutions for various tasks in a timely manner
7. Effective communicator: able to effectively communicate the analytical findings and convey clear messages

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

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Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Job Description:

The role is for the position of VP – Network Data Architecture ASO TIS Job function in Singapore. The successful candidate will be part of a growing dynamic regional team that oversees IT design and development of Network Solutions In the region.

We are seeking a talented Network Architect to join our team. The Network Architect will be responsible for designing, implementing, and maintaining the network infrastructure to ensure the confidentiality, integrity, and availability of our organization's data and systems.

Roles & Responsibilities:

• Network Design and Architecture: Lead the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Data Flow Management: Ensure efficient, secure, and optimized data flows across the organization's network infrastructure, including data canters, branch offices, and cloud services.
• Technology Strategy and Roadmap: Collaborate with IT leadership to develop network strategies and roadmaps, ensuring alignment with business goals and future technology trends.
• Capacity Planning: Perform ongoing network performance monitoring and capacity planning to handle current and future data demands.
• Security Compliance: Collaborate with peer teams to ensure networks are designed and implemented with security best practices, regulatory compliance (e.g., GDPR, HIPAA), and threat mitigation in mind.
• Vendor Management: Manage vendor relationships and evaluate third-party network technologies, products, and services to support business requirements.
• Documentation and Standards: Develop and maintain documentation for network architecture, including diagrams, configuration guides, and operational procedures.
• Cross-Department Collaboration: Partner with application, cloud, and infrastructure teams to optimize overall system performance and deliver integrated solutions.
• Troubleshooting: Act as the top-level support for diagnosing, troubleshooting, and resolving complex network issues, ensuring business continuity.

Technical Capabilities

Arch, Design and Implement Network Solutions:

• Design and implement Network solutions to protect the organization's network from unauthorized access and attacks.
• Review current designs and re-design to improve quality of services and to ensure modernized, fit for purpose Network infra for employees.

Develop and Maintain Network Security Policies, Standards, and Procedures:

• Develop network data security policies that outline the organization's security objectives and requirements.
• Establish security standards and procedures for configuring and managing network security devices.

Contribute into Risk Assessments for Data / Connectivity Audits:

• Participate in regular risk assessments on core infra to identify potential security vulnerabilities and threats.
• Contribute to security audits to assess the effectiveness of existing controls and identify areas for improvement.
• Recommend security enhancements based on the findings of risk assessments and audits.

Collaborate with IT Teams:

• Work closely with IT teams to integrate requirements into network infrastructure and applications.
• Provide guidance on implementing best practices and standards.
• Collaborate with application developers and system administrators to ensure that business requirements are met.

Enhance Network Traffic Monitoring and Innovate Automations:

• Enhance network traffic monitoring to effectively detect issues
• Take appropriate actions to mitigate the impact of incidents and prevent future occurrences.
• Look for predictive analysis/solutions to improve user experience, quality and capabilities of networks.

Provide Technical Guidance and Support:

• Provide technical guidance and support to team on network best practices.
• Assist in troubleshooting network Problems and coming up with solutions to address them.
• In-depth insight and oversight onNetworking Protocols: Expertise in IP networking protocols (e.g., BGP, OSPF, MPLS, VLANs, IPsec, TCP/IP, QoS) and related technologies.
  Cloud Networking: Hands-on experience with cloud networking in platforms such as AWS, Azure, and Google Cloud, including hybrid cloud designs and integrations.
  Network Automation: Knowledge of network automation tools (e.g., Ansible, Python scripting, Terraform) to automate configuration, deployment, and management processes.
  Virtualization: Experience with network virtualization technologies such as SDN (Software-Defined Networking) and NFV (Network Function Virtualization).
  Security Technologies: Proficient in network security technologies like firewalls, VPNs, IDS/IPS, DDoS protection, and identity access management (IAM).
  Network Monitoring: Familiarity with network monitoring tools (e.g., SolarWinds, Netscout, Wireshark ) for performance and anomaly detection.
  Data Center Architecture: In-depth understanding of data center networking (e.g., spine-leaf, fabric architectures) and cloud connectivity
  

Job Requirements:

• Min 15 years of experience in networking, with at least 7+ years in an architectural or senior engineering role.
• Experience in leading the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Cisco Certified Internetwork Expert (CCIE), AWS Certified Advanced Networking, or other equivalent certifications.
• Strong understanding of enterprise-level network architectures, data center environments, and cloud integration.
• Demonstrated ability to lead cross-functional teams and communicate complex technical concepts to both technical and non-technical stakeholders.
• Proven track record of innovative problem-solving and ability to troubleshoot complex network systems.
• Experience in managing network infrastructure projects from initiation to completion, including budgeting, planning, and execution.
• Bachelor’s Degree: Degree in Computer Science, Information Technology, Network Engineering, or a related field is required.
• Master’s Degree (Preferred): An advanced degree in a relevant field is a plus, particularly in network architecture, cybersecurity, or cloud technologies.

We regret to inform that only shortlisted applicants will be notified.

Job ID: 10067214