This is a 12-month contract role open for Singaporeans ONLY.

Minimum Requirements:

• CAT-1 cleared/eligible candidate is required for this role.
• Minimum of 3 years' experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.
• Good to have: Snowflake / Denodo.

UEN: 199700895N

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

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2600-$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

The Product Management Group Manager is a senior management level position responsible for managing a broad range of Product Management employees, setting strategy and providing direction, leadership and budgetary management, etc. Additionally, this role will be responsible for the development of product plans, strategies, and tactics while coordinating product lines through product life-cycles in coordination with the broader Product Management team. The overall objective of this role is to coordinate the promotion of products to develop new markets, increase share of market and obtain competitive position.

Responsibilities:

• Manage a team of professional to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
• Lead strategic program roadmap, program/product launch, and marketing programs to gain maximum benefit from each product/program
• Construct and ensure successful execution of a marketing plan spanning product, brand, acquisition, customer and retention, and improving performance, brand preference, and client engagement
• Develop plans and execute functional strategies for a country, group of countries, region, or business requiring coordination and integration across units as well as provide input into strategic decisions affecting job family or function within region or business
• Manage day-to-day product marketing for core products such as product delivery, client experience, and client communication strategies as well as help the team prioritize, negotiate, and remove obstacles to achieve business results
• Participate in development of client valued propositions, positioning, segmentation, pricing, targeting, channel strategies, and competitive differentiation to achieve preferred status as a partner to Citi clients
• Direct and oversee program life cycle including market demands, technology trends, and the competitive field as well as develop and communicate a business plan to approach the marketplace
• Define and launch new products, features, and capabilities including defining the product/feature and go-to-market strategy, and participate in technology development and market launch activities
• Manage external partners and/or vendor relationships, engage in negotiations, manage ongoing relationships, and prepare agreements
• Create and deploy profitable marketing strategies, lead conceptualization and implementation of key growth initiatives, and maintain current market intelligence on the overall industry verticals and competitors
• Assist in building new relationships in supported verticals using available tools such as industry publications, direct mail, internet presence, trade shows, calls, and strategic alliances
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

• 10+ years of relevant experience
• Degree in Business Administration, Finance, Marketing, specialized analytics, or related discipline
• Experience with banking and investment products
• Working knowledge of the different systems, theories, and practices relevant to a function as well as practical experience of multiple business cycles
• In-depth knowledge of industry and competitor products/services
• Working knowledge of industry practices and standards
• Working knowledge of strategic direction of the function within the business as well as a solid conceptual/practical grounding in function and/or area of expertise
• Ability to develop strategy, gather resources, and inspire a diverse set of individuals
• Consistently demonstrates clear and concise written and verbal communication
• Demonstrated negotiation skills

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree is Good to Have

Job Description :

• Conduct hiring process which includes sourcing, screening, and interviewing potential candidates
• Plan and prepare recruitment report for reporting manager
• Assist with the onboarding of potential candidates
• Facilitating team bonding activities
• Representing the company and promote the products and services

What we offer :

• Positive work culture and environment with a young and dynamic team
• Monthly team bonding events
• Work hard, Play harder
• Opportunity to network and improve your interpersonal skills
• Learn how to better understand others
• Purpose driven career & Career Satisfaction

Benefits :

• Flexible schedule
• Promotion to permanent employee
• Opportunity to cross train to other company departments

Prefer to be working in a FUN, YOUNG and DYNAMIC team?

Looking to expand your network and improve your interpersonal skills ?

We are Expanding and We want you !

WHAT DO WE DO :

With our proven in-house training program, we empower clients to boost their sales revenue and brand visibility through engaging social media platforms , roadshows, events, seminars, and campaigns. This involves identifying potential customers, showcasing in-depth product knowledge, and fostering face-to-face interactions with clients and customers

HOW CAN WE EMPOWER YOU :

- Tested and proven suite of solutions/strategies for you to empower your clients

- Positive, Exciting & Supportive Work Environment. Work Hard , Play Harder !

- Personalised 1-on-1 Coaching and Mentorship

- Joint support system with Mentors/Seniors

- Opportunities for Personal Development (Interpersonal, Understanding of different personalities and more)

- Clear Career Advancement Pathways (Professional or Leadership Route)

- Travel Opportunities (3-4 times a year)

WHAT WE WANT FROM YOU :

- No Prior Experience Required

- Eagerness to Learn and Grow

- Strong Communication Skills

- Team Player Mentality

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

Basic (no experiene / fresh)-start from $2600-$2800+OT+allowances>$3K

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 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
  

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

Job Summary

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

• Bachelor's Degree in Computer Science or equivalent;
• Minimum 5 years of experience in data engineering and data management;
• Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services;
• Strong experience in Python / SAS / R along with Tableau / Power BI;
• Strong experience in gathering business requirements and translating into technical specification;
• Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
• Has good stakeholders management experience;
• Attention to technical details;
• Ability to deliver tasks on time with high quality outcome;
• Self motivated and ability to take ownership;
• Strong written and spoken communication skills.

Desired Skill-set

• Azure Data Engineer Certified;
• ITIL certified;
• Prior experience in Python, R or Machine Learning tools.

Responsibilities

• Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
• Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools;
• Analyze ETL requirements from users and provide solutions accordingly;
• Responsible for planning and executing data profiling and data quality analysis;
• Monitor data pipelines, databases and analytical processes to ensure smooth operations;
• Identify and resolve data-related issues, performance bottleneck and data quality problems;
• Design and document data catalogs and data architectures;
• Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
• Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
• Build and maintain reports and dashboards using suitable data visualization tools;
• Conduct analysis on the reports and translate the findings into valuable insights to business users;
• Prepare data for prescriptive and predictive modelling;
• Perform database monitoring and performance tuning.

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

Job Description

Responsible to monitor, analyse and troubleshoot bus & rail AFC devices by checking device logs and data

• Interpret data, analyze results using statistical techniques and provide ongoing reports

• Handle complex data sets – must be able Identify, analyse, and interpret trends or patterns in complex data sets

• Visualize the data to get insightful information.

• Identify trends to identify system degradation and to perform predictive maintenance

• Present the findings and translate the data into an understandable document

• Need to write and speak clearly, easily communicating complex ideas

• Work with management to prioritize business and information needs

• Develop strategies that optimize statistical efficiency and quality

• Locate and define new process improvement opportunities

Requirements

• Technical expertise regarding data models, database design development, data mining, clustering and segmentation techniques

• Strong knowledge of and experience with reporting packages (Cognos), databases (SQL etc), programming (Python/R and ETL frameworks)

• Prior experience in handling Python libraries: Pandas, Numpy, Scikit learn, Python Dash, Bokeh, Matplotlib

• Strong Knowledge in statistics and statistical packages for analysing datasets (Excel, SPSS, SAS, Python etc)

• Must have Visualisation knowledge and able to create dashboards in Tableau and PowerBI

• Need to have hands-on experience in Tableau server (Publishing workbook, Administration settings)

• Knowledge in java, C/C++, RTOS QNX is added advantage

• Proven working experience as a data analyst or business data analyst preferred

• Fresh graduates with relevant expertise and interest will also be considered

• Degree in Computer Science, Electrical/Electronic Engineering/Information Management or Statistics

About the company:

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

Responsibilities:

· Based on the corporate strategy, regional and industry business objectives, gain insight into business opportunities, and develop and execute key customer development strategies.

· Deeply understand, communicate, and clarify the target customers of data center, explore key opportunities in the data center field, and guide and promote the key market targets.

· Collaborate with all parties to plan, design, deliver, and accept customers' and partners' data center solutions. Through end-to-end project operation and customer relationship management, take responsibility for data center integration project operation, revenue target achievement, and customer satisfaction.

· Build organizational relationships with customers and continuously expand new customers and partners.

Requirements:

· Bachelor degree or above, majored in mechanical/electrical engineering, etc.

· Good command in English & Mandarin.

· Proficiently use office software such as Word, Excel, and PowerPoint.

· Good communication, presentation and collaboration skills.

· At least 3 years of dedicated data center infrastructure solution sales/service or design experience.

· Requirement understanding and solution design: Be able to understand customers' business, and strategic requirements, influence customers' plans and budgets, and design solutions based on customer requirements, and comprehensively consider competition, profitability, and deliverability. Be able to guide customers in overall data center power & cooling solutions.

· Customer communication and guidance: Be able to influence customer decision-making supporters/decision makers, effectively transfer product and solution values, establish a good trust relationship with customers, and influence customer decision-making.

· Project operation capability: Be able to promote lead generation in projects, effectively convert to opportunities, develop solution strategies, implement solutions, and achieve project success.

· Transaction management capability: Be able to develop effective commercial strategies, manage base prices, and achieve project profitability targets.

Why join us?

At Huawei, we are committed to fostering a vibrant, inclusive, and innovative environment where our employees can thrive. We believe that our employees are our greatest asset, here’s what you can expect when you join our team:

· Competitive compensation package

· Comprehensive medical and dental coverage

· Transportation reimbursement and mobile allowance

· Fun employee engagement and team-building activities

Optimum Solutions, Singapore

(Company Registration Number: 199700895N),

Founded in 1997, Optimum is a full-spectrum IT services and solutions company whose mission is to “Empower Business with Technology.”

• 4+ years of working experience in Data Engineering, Big Data solutions, and analytics functions
• Solid background in traditional structured database environments such as Teradata / Oracle, SQL & PL/SQL
• Knowledge on Hadoop ecosystem components such as HIVE, Impala, HDFS, Spark, Scala, HBase
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies
• Hands-on experience working on real-time data and streaming applications using Kafka or other similar tools
• Experience in automation process – building procedures, ETL and automated job scheduling using data integration tool such as Talend
• Knowledge on data warehouse and FSLDM concepts

(No Experience is required, all training will be provided)

We are looking for a self-motivated trainee Site engineer/ Utility Detection Specialist (LCDW/TCDW) at our company. Our trainee engineers will form part of an integrated team and should be comfortable working well with the rest of our admin and drafter teams.

To be successful as a Utility detection engineer, you should stay up-to-date with detection methods, software, and advancements. Engineers must demonstrate attention to detail and have sound knowledge of the discipline.

- Oversee and carry out projects assigned to you

- Operating electromagnetic cable locator to detect and locate underground services (training will be provided)

- Liaising with drafter and admin staff to carry out projects

- Going to various sites to carry out projects

- Communicating and liaising with clients on their project

- Company transport will be provided (need to have class 2B or class 3 license)

Requirements:

No experience required

ITE Certification/ Poly Certification/ Degree Certification in Electrical/ Mechanical/ Civil Engineering

Job Description:

• Applied Data Science on Test Yield Analysis & Improvement OpportunityProduct Test Yield and Key Test Parameters Analysis in relationship & correlation to Fab WET data or Wafer Probe Die Sort Data
  Develop a predictive model of product test yield based on available key Fab, Sort monitoring data
  Leveraging on advance data analytics and Artificial Intelligence technique to enable speed of detection, prevention and prediction
  Collaborate with respective product owner PE to drive yield improvement opportunity based on big data analysis or specific excursion with timely detection of abnormality
  
• Quality Monitoring Data & Customer Complaint Analysis in relations to Test Information & Manufacturing Process DataAnalyze real-time monitoring data abnormality (Maverick) detection & prevention measures effectiveness for applicable semiconductor manufacturing processes.
  Leverage predictive analytics to trigger interventions that reduce the risk of yield loss or quality issues.
  Collaborate with respective product owner PE to drive out-quality improvement opportunity based on big data analysis & predictive quality risk
  
• Collaborate with Manufacturing Site to Drive Data-Driven Process Optimization for Yield and Quality ImprovementWork closely with on-site Product, Test or Process engineers to analyze production data, identify trends, and optimize manufacturing processes.
  Use data science techniques to reduce variability and improve overall product quality.
  Leverage on machine learning models application opportunity in Fab, Die probe, Die-to-Reel, Assembly, Test, Tape & Reel process for total continuous improvement & innovation.
  
• Failure Mode Analysis & Customer Risk/RMA MitigationEnhance product quality & reliability by developing predictive models that assess the potential quality risk to customers. Use insights from these models for disposition decision making to ensure compliance with quality standards.
  Collaborate with quality, process, product engineer on in-depth failure mode and effects analysis (FMEA) using historical and real-time data to predict and mitigate potential defects.
  Collaborate with manufacturing teams to implement corrective actions based on predictive insights.
  
• Additional Responsibilities:Track wafer and package yield trends on a daily basis
  Leverage 2DID and Die Level Traceability to perform novel analyses and move yield/quality issues upstream to wafer level whenever possible
  Identify opportunities for cost reduction
  Generate analyses aimed at highlighting device sensitivities and interactions between design/fab/assy/test
  Leverage all available test points to detect anomalies, shifts, drifts, outliers, maverick events as close to the Point of Occurrence as possible
  Identify opportunities for cost reduction
  Monitor/Report on KPI's and facilitate data-driven decision making
  

Requirements:

• Domain Expertise:Bachelor’s or Master degree in Data Science, Computer Science, Electrical Engineering, or a related field, with specialized knowledge in semiconductor manufacturing processes. Experience in predictive analytics for yield and quality in semiconductor fabs is highly desirable
  
• Technical Skills:Proficiency in programming languages such as Python or R, with preferred experience in machine learning libraries and statistical modeling. Strong background in data analysis, including the use of big data technologies and cloud platforms
  
• Experience with Semiconductor Manufacturing:At least 3 years of experience working in semiconductor manufacturing, particularly in roles focused on process monitoring, yield improvement, and quality control. Familiarity with Fab, Die probe, and Assembly processes is essential
  
• Analytical and Predictive Modeling Expertise:Proven track record in developing and deploying predictive models for yield analysis and quality assurance. Experience with tools like JMP, Minitab, or similar for statistical process control (SPC) and predictive maintenance is a plus.
  
• Cross-Functional Collaboration and Communication:Strong communication skills to effectively collaborate with process engineers, quality assurance teams, and other stakeholders. Ability to translate complex data insights into actionable strategies that improve product yield and quality.
  

Interested applicants, please apply via our corporate website under the requisition number 8439 at http://www.qorvo.com/careers/ with a copy of your detailed resume. ​

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

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