Responsibilities:

1. Data Pipeline Development and Maintenance:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.

2. Data Processing and Analysis:

• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.

3. Data Storage and Management:

• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.

4 Collaboration and Communication:

• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.

5. Stay informed on the latest trends and advancements in big data technologies.

• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.A minimum of 2 years of relevant professional experience is preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong technical proficiency with distributed computing frameworks like Spark.
• Expertise in data management systems such as HDFS, Cassandra, NoSQL or BigQuery.

Responsibilities:

1. Data Pipeline Development and Maintenance:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.

2. Data Processing and Analysis:

• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.

3. Data Storage and Management:

• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.

4. Collaboration and Communication:

• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.

5. Stay informed on the latest trends and advancements in big data technologies.

• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field. A minimum of 2 years of relevant professional experience is preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong technical proficiency with distributed computing frameworks like Spark.
• Expertise in data management systems such as HDFS, Cassandra, NoSQL or BigQuery.

Responsibilities:

1. Data Pipeline Development and Maintenance:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.

2. Data Processing and Analysis:

• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.

3. Data Storage and Management:

• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.

4 Collaboration and Communication:

• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.

5. Stay informed on the latest trends and advancements in big data technologies.

• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.A minimum of 2 years of relevant professional experience is preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong technical proficiency with distributed computing frameworks like Spark.
• Expertise in data management systems such as HDFS, Cassandra, NoSQL or BigQuery.

12 months contract role (can be extended)

WFH available

Work Location: Changi Business Park

Salary: upto 7000

The position will be part of Singapore Country Corporate Treasury team and will be responsible to support BAU activities in liquidity related local regulatory reporting and report automation project

The role would support the country corporate treasury team in performing both daily and monthly activities in support of liquidity related local regulatory reporting requirements

Key Responsibilities:

* Support preparation, reconciliation, and upload of manual adjustments

* Liaise with various stakeholders including Finance & Risk Shared Services (FRSS), Data Management Office (DMO), etc. in identification and remediation of the root causes to help eliminate the need for manual adjustments

* Assist in generation of daily liquidity reports and support pre- and post-production analysis of reports (e.g. trend analysis, variance analysis, etc.)

* Liaise with Technology and Project teams in process enhancements initiatives, performing activities like data analysis, solutioning, testing, etc

Person Specification

Knowledge/Experience:

Essential

* Proficient in Microsoft Office (Excel, Access)

* Work experience in the financial services industry, preferably with Treasury and/or MAS reporting

* Problem solver with the ability to translate plans into actions

* Experience with performing reconciliations, gap analysis, etc. including with large datasets

Desirable

* MAS LCR reporting experience will have an advantage

* Consistently demonstrate clear and concise written and verbal communication skills

* Strong controls mindset, identifying and mitigating risks, communicating and escalating concerns

* FP&A, Perf Mgt and Controllers experience Skills: (technical skills)

Interested candidates please share your resuem to [email protected] wiht all details like current salary, expected salary and notice period

Regards

Shashi (R23112213)

Just Recruit Singapore Pte Ltd (EA12C6295)

What you'll do:

• Perform daily operational duties for Manual and Remote reading related activities via the various meter reading and billing systems and following up with relevant parties to resolve daily operational issues.
• Perform planning, jobs assignment, liaising with readers, monitoring daily jobs assignment status and report reconciliation to ensure that the regulated KPI can be achieved.
• Perform User acceptance testing for meter reading and billing system changes and upgrade activities.
• Attend to enquiries via Case Activities, telephone, and emails.
• Any other ad-hoc duties as assigned by supervisor.

What you'll need:

• Applicants need to possess at least a diploma from a recognized institute.
• Possess good knowledge in Microsoft Excel
• Possess good knowledge in SAP system would be advantageous.
• Able to work well both independently and as part of a team in a dynamic environment.
• Possess good communication and interpersonal skills.
• Meticulous and able to meet deadlines.
• Requires working on shift (no overnight shift).

Thank you for your interest in SP Group. You will be contacted if you are shortlisted for an interview.

What you'll do:

• Perform daily operational duties for Manual and reading related activities via the various meter reading and billing systems and following up with relevant parties to resolve daily operational issues.
• Perform User acceptance testing for meter reading billing system changes and upgrade activities.
• Perform administrative duties such as monthly statistics for payment related and meter reading related reporting to both internal and external stakeholders.
• Attend to enquiries via Case Activities, telephone emails.
• Any other ad-hoc duties as assigned by supervisor.

What you'll need:

• Applicants need to possess at least a diploma from recognized institute.
• Possess good knowledge in Microsoft Excel
• Possess good knowledge in SAP system would advantageous.
• Able to work well both independently and as part of team in a dynamic environment.
• Possess good communication and interpersonal skills.
• Meticulous and able to meet deadlines.

Thank you for your interest in SP Group. You will be contacted if you are shortlisted for an interview.

Responsibilities:

1. Data Pipeline Development and Maintenance:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.

2. Data Processing and Analysis:

• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.

3. Data Storage and Management:

• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.

4. Collaboration and Communication:

• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.

5. Stay informed on the latest trends and advancements in big data technologies.

• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field. A minimum of 2 years of relevant professional experience is preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong technical proficiency with distributed computing frameworks like Spark.
• Expertise in data management systems such as HDFS, Cassandra, NoSQL or BigQuery.

Responsibilities:

1. Data Pipeline Development and Maintenance:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.

2. Data Processing and Analysis:

• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.

3. Data Storage and Management:

• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.

4 Collaboration and Communication:

• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.

5. Stay informed on the latest trends and advancements in big data technologies.

• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.A minimum of 2 years of relevant professional experience is preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong technical proficiency with distributed computing frameworks like Spark.
• Expertise in data management systems such as HDFS, Cassandra, NoSQL or BigQuery.

Job description

In your new role you will:

• Develop and implement machine learning algorithms and models to solve complex technical problems.
• Analyze and interpret large, imbalanced datasets to identify trends, patterns, and insights.
• Deploy ML/AI solutions to Backend production and implement them into the existing frameworks and tool-landscapes.
• Collaborate with cross-functional teams to integrate data-driven decision-making into the organization's culture.
• Develop ML/AI methodologies according to our strategy roadmap and effectively present your results across different management levels.
• Stay up-to-date with industry trends, tools, and methodologies in data science and machine learning.

Your Profile

You are best equipped for this task if you have:

• Degree/ Master's or Ph.D. degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proven experience in a data scientist or similar role, preferably within the semiconductor industry or related manufacturing industries**
• Strong programming skills in languages such as Python, R, or SQL.
• Experience with machine learning frameworks and libraries (e.g.,TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modeling and hypothesis testing.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Possess strong communication and collaboration abilities with fluent English to communicate with multicultural counterparts around the globe

Benefits

What we offer you in Singapore

Singapore is our regional headquarter for Asia-Pacific and consists of production, research & development, sales & marketing, supply chain and many central functions.

Find out more about our location Singapore

Why Us

Driving decarbonization and digitalization. Together.

Infineon designs, develops, manufactures, and markets a broad range of semiconductors and semiconductor-based solutions, focusing on key markets in the automotive, industrial, and consumer sectors. Its products range from standard components to special components for digital, analog, and mixed-signal applications to customer-specific solutions together with the appropriate software.

We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.

Temp Officer (Info Group Corporate Office)

Entry level

Contract, Full-time

What the role is:

This is a 3-month contract role with the Information's Info Group Corporate Office.

What you will be working on:

• Perform data extraction and reconciliation, which may involve large amount of data.

• Perform data search and updating, to ensure accuracy of information in system.

• Develop a database from existing records for ease of data management.

• Prepare data visualisation documents for presentation and/or reporting purposes.

• Any other administrative duties assigned.

What we are looking for

• Proficient in Microsoft Suite (Word, Excel and Access).

• Previous experience in database management and/or data visualisation tools would be preferred.

• Meticulous and strong attention to detail.

Salary: hourly rate of $10-$20, depending on experience and qualifications

Location: Nearest MRT- Clark Quay

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office, and Excel.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

Job Description

• To perform data entry, entering client accounts, patient demographic information & order laboratory tests completely and accurately into the Laboratory Information System (LIS).

• Recognize and correct inaccurate or missing information on the laboratory requisitions

• Filling and archiving of documents.

• Assist in printing department, sorting and distributing laboratory reports on an ad-hoc basis.

• Any other ad-hoc administrative duties as assigned.

• Ensuring smooth daily operation.

Job Requirements

• Willing to work 5.5 days (Mon-Sat) work week, overtime and rotating shift schedule

• Minimum GCE N & O-Level with at least 1 year of relevant call centre work experience, preferably in healthcare industry.

• Good typing skills and accuracy.

• Strong communication and interpersonal skills

• Excellent phone etiquette and positive learning and working attitude

• Fluent in written & spoken English is a must

• Computer literate, Proficient in Microsoft Office and Excel

• Hardworking, responsible, multitask and meticulous attention to detail

• Cooperative, able to work well with colleagues and superiors.

• Team player & supportive of the operational needs

Shortlisted candidates will be required to do a typing skills test.

Work Schedule:

Monday to Friday: 10.15 am to 6.45 pm

Saturday: 11.00 am to 3.30 pm

Start time subject to change accordingly to operational needs.

We are looking for a part timer for data research and entry,

Job Scope:

• Carry out data research on websites
• Data entry of the research into excel

Requirement:

• Well verse in Excel
• Able to work continuously for about 1-2 weeks

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

2. Apply data mining, data modelling and data visualization techniques to extract and analyse information from large structured and unstructured data sets

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

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office, and Excel.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

What You'll Do:

1. Manage the daily operations of the High Tension meter reading (NCC HT and Master-Sub installations)
2. Monitoring and troubleshooting the unsuccessful remote meter reading cases
3. Supporting Customer Reading & Route Management Team
4. Perform administrative duties such as monthly statistics for payment related and meter reading related reporting to both internal and external stakeholders
5. Perform User acceptance testing for meter reading and billing system changes and upgrade activities
6. Any other ad-hoc duties as assigned by supervisor

What You'll Need:

1. Applicants need to possess at least a degree from a recognized institute
2. Possess good knowledge in Microsoft Excel
3. Possess good knowledge in SAP system would be advantageous
4. Able to work well both independently and as part of a team in a dynamic environment
5. Possess good communication and interpersonal skills
6. Meticulous and able to meet deadlines

What We’ll Provide:

1. Join us to empower the future of energy
2. We offer hybrid work arrangement as we believe in providing work life balance while maintaining rapport at work
3. Immerse in a positive work environment that promotes/fosters teamwork and collaboration

Thank you for your interest in SP Group. You will be contacted if you are shortlisted for an interview.

About the job

The candidate with coding, and development knowledge will help Durapower to fully recognize Digital value and help them substantially create more business value and most importantly contribute to the shared vision of Durapower.

Where you fit

Durapower has been pioneering in electric cell manufacturing for over 12 years and has seen the landscape develop from early adopters into the early majority. Today they are working together with other leaders in the industry to shape the future of e-mobility and stationary storage of lithium-ion batteries. It has a presence across 21 markets across the globe headquartered in Singapore. This role is key to the success of the group's shared vision to build a robust Digital capability centered around new energy innovation and cater to decarbonized energy demand for the future.

The Digital leadership team is part of Innovation CoE, and includes a dedicated implementation team to act as the bridge between product R&D, business, and external ecosystem

What’s the role?

• As a Battery Insights Date Scientist in Singapore, you will architect and maintain robust data systems. Collaborate with cross-functional teams to integrate diverse data sources, enabling accurate analysis of battery performance. Develop predictive models and work with data scientists to extract actionable insights, driving innovation in battery technology.
• Stay updated on industry trends to shape data initiatives and ensure our position at the forefront of the sector. Join us in this dynamic role, contributing to informed decision-making and continuous advancements in battery technology.

Key Expectation:

• Efficient Data Architecture: Design and maintain effective data pipelines and systems for seamless integration of diverse battery-related data sources, ensuring efficient and accurate representation.
• Collaborative Insight Generation: Collaborate with cross-functional teams, data scientists, and analysts to transform raw data into actionable insights, developing predictive models that contribute to strategic decision-making in the battery technology sector.
• Continuous Innovation: Stay abreast of industry trends and advancements, providing recommendations to shape data initiatives that keep our organization at the forefront of innovation in battery technology.

Key success measure for the role

• Data Accuracy and Integrity: Success in this role is measured by the accuracy and integrity of the data systems implemented, ensuring that insights derived from battery-related data are reliable and actionable.
• Innovation Impact: The role's success is also measured by the impact on innovation within the battery technology sector, including the development of predictive models and contributions to strategic decision-making that drive advancements in the field.

Core Responsibilities are as follows:

• Data Architecture: Design, build, and maintain robust data pipelines and systems to efficiently collect, store, and analyze diverse battery-related data.
• Integration and Collaboration: Collaborate with cross-functional teams to integrate data from various sources, ensuring a comprehensive and cohesive representation of battery performance metrics.
• Predictive Modeling: Develop and implement predictive models to extract meaningful insights, contributing to strategic decision-making in the battery technology sector.
• Data Analysis: Work closely with data scientists and analysts to identify patterns, trends, and anomalies in the data, translating raw information into actionable insights.
• Innovation and Trends Monitoring: Stay updated on industry trends and advancements, providing recommendations to shape data initiatives that keep the organization at the forefront of innovation in battery technology.

What We Need from You

• University or Master’s degree in Computer Science, Data Science, or a related field.
• Demonstrable experience as a Date Scientist, with a focus on designing and implementing data architectures and pipelines, particularly in the context of battery-related data
• Proficiency in data modeling and design, including SQL scripting and database administration
• Strong proficiency in relevant programming languages (e.g., Python, Java), data modeling, and database management systems. Experience with tools such as Apache Spark and familiarity with cloud platforms (e.g., AWS) is a plus.
• Experience in developing and implementing predictive models to extract insights from complex datasets, contributing to informed decision-making.
• Understanding of battery technology, energy storage systems, and a keen interest in staying abreast of industry trends and advancements
• Natural curiosity, creative and critical thinking with a learner mindset
• Effective communication skills to collaborate with cross-functional teams and convey insights to non-technical stakeholders are essential

Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.

We offer you a flexible and dynamic environment with opportunity to go beyond your comfort zone in order to grow personally and professionally. Sounds interesting?

Then come in and join our global team as Data Visualization & Business Intelligence Specialist (12 months Contract) within the People Insights & Analytics team to implement large-scale Business Intelligence and Reporting solution for the Human Resources function.

Your tasks and responsibilities:

• You will be responsible for the end-to-end design and development of QlikSense BI and reporting.
• You will be responsible for the unit and integration testing, provide release management instructions through UAT and production environments.
• You will ensure quality data creation, visualization, and data flow across systems.
• You will develop clear administrator and user documentations.
• You will closely collaborate with technical stakeholders such as Data Architects, Data Modelers, Enterprise and Platform Architects, and Project Managers.

To find out more about the specific business, have a look at https://www.siemens-healthineers.com/

Your qualifications and experiences:

• You have a master’s degree/ bachelor’s degree/ diploma in a science-based program and/or quantitative discipline with an emphasis on Business Analytics.
• You have several years of professional experience in working with the Qlik product stack (Qlik Cloud, QlikSense, QlikView, NPrinting).
• You have significant experience in developing QlikSense applications; Certification in Qlik is considered a plus.
• You have in depth experience in building self-serve BI reports and dashboards.
• You have strong experience in consuming data models, developing SQL, addressing data quality issues, proposing BI solution architecture, and articulating best practices in end-user visualizations – several years of database development experience using star schema a must.
• You have experience in developing functional and technical requirements.
• You have experience with ETL tools assessing data quality and developing remediation plans with the ability to design and develop ETL processes to extract data from various sources.
• You have knowledge of data warehousing concepts and architecture.

Your attributes and skills:

• This role requires outstanding organization skills combined with critical thinking, problem-solving and agile management tools to support team success.
• You have strong communications (verbal and written) and decision-making skills.
• You have excellent time management and organizational skills a must for multi-task environment.
• You are self-directed with proven ability to work as part of a client-consultant team.
• You are a diplomatic problem solver.
• Client management skills a plus.
• You are inquisitive, proactive, and interested in learning new tools and techniques.
• Comfortable working in a dynamic and global environment where members of the team are geographically dispersed.
• You are able to communicate fluently in English with team members from various national and cultural backgrounds.

Our global team:

We are a team of 71,000 highly dedicated employees across more than 70 countries passionately pushing the boundaries of what’s possible in healthcare to help improve people’s lives around the world. As a leader in the industry, we aspire to create better outcomes and experiences for patients no matter where they live or what health issues they are facing. Our portfolio, spanning from in-vitro and in-vivo diagnostics to image-guided therapy and innovative cancer care, is crucial for clinical decision-making and treatment pathways.

Our culture:

We are part of an incredible community of scientists, clinicians, developers, researchers, professionals, and skilled specialists pushing the boundaries of what’s possible, to improve people’s lives around the world. We embrace a culture of inclusivity in which the power and potential of every individual can be unleashed. We spark ideas that lead to positive impact and continued success.

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started.

To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.

ey areas of responsibility

• Responsible for handling full set of accounts, including (AP / AR / GL) & ensure timely preparation/review of monthly accounts and financial statements
• Handle audit & tax queries and provide information as required by external auditors
• Preparation of schedules for all Profit & Loss (P&L) and Balance Sheet (B/S) items
• Monthly closing, Bank reconciliation, and etc.
• Assist in all financial related matters and any ad hoc projects

Requirements

• Familiar with Singapore Accounting Standards and reporting requirements
• Knowledge of accounting software, especially in JDE system is an advantage
• Good interpersonal and communication skills
• Ability to communicate in Mandarin in order to effectively communicate with the stakeholder based in China.
• Candidate should possess at least a Diploma / Degree in Business, Finance, Accounting or equivalent or a professional certification in Finance and Accounting
• Multi-tasking, high commitment and strong sense of urgency towards deadlines
• An analytical mind, disciplined and ability to work independently

Key Responsibilities

• Knowledgeable in data analysis and interested in operations management, document management and virtual knowledge-space construction
• Having working knowledge of the biopharma environment is preferred
• Responsible for the use of data science methods in the management of departmental resources including physical inventory, the purchasing and tracking of lab materials, and other consumables
• Helps with providing data set to help management make operational, administrative and HR decisions such as the data visualization, retrieval and the tracking of training records
• Serves as the liaison between Quality, and EHS department and various production groups, responsible for departmental document management and distribution; responsible for departmental safety and quality inspections and gathering feedback
• Complete other tasks assigned by the supervisor related to the smooth running of the department

Key Requirements

• Diploma / Bachelor’s degree in Cell biology, Molecular Biology, Biomedicine and other related majors is preferred
• Preferred internship period - Aug to Dec 2024
• Good experimental habits, ability to process and analyze data and solve problems, and strong execution skills
• Proficiency in operating MS Office suite software
• Knowledge of quality as it pertains to a manufacturing setting
• Mastery of the relevant rules and regulations involved in the position

Siemens Mobility is an outstanding place to have a career in an innovative environment. Siemens Mobility Rail Infrastructure business supplies the global markets of rail and road-bound transport with innovative products and solutions for Rail Automation, Rail Electrification and in the area of intermodal mobility, apps and backend systems.

What are my job responsibilities?

• Design and Development: Design and develop data-driven solutions tailored for applications in the railway industry, addressing the unique challenges and requirements of this sector.
• Solution Articulation: Clearly articulate how the designed solutions address specific use cases, translating complex business requirements into comprehensive technical specifications. Potential with good potential might be further developed into Solution Architect/Date Architect role
• Collaborative Conceptualization: Work closely with Business Analysts, Domain Experts, Data Scientists, and Developers to transform business requirements into solution concepts. This collaboration ensures the seamless integration and consistency of the proposed solutions across various domains.
• Data Ingestion Pipeline Construction: Participate in the development of reliable and robust data ingestion pipelines for the Railigent platform, hosted on the AWS cloud. These pipelines are crucial for the efficient and effective ingestion of data into the system.
• Innovation and Optimization: Engage in Proof of Concept (POC) activities or explore new tools and technologies aimed at providing optimized solutions for diverse customers in the railway industry.
• Maintenance and Problem-Solving: Demonstrate a thorough understanding of the current development environment to effectively identify and resolve issues within existing and newly developed data ingestion pipelines, ensuring their optimal performance and reliability.

What do I need to qualify for this role?

• Educational Background: A degree in Computer Science, Computer Engineering, or a related field is required.
• Professional Experience: A minimum of 3 years of experience in a Data Engineer role or a similar position is essential.
• Programming Skills: Proficiency in coding languages such as Python, Java, or Scala is mandatory.
• Experience in scripting languages like Shell, Groovy, or Curl and familiarity with Unix/Linux commands is required.
• Database and Querying Expertise: Demonstrable experience and knowledge in writing SQL/HQL queries.
• Cloud-Based Data Management: Understanding and experience in implementing cloud-based data management solutions, with a preference for AWS expertise.
• Database Technologies: A solid understanding of both NoSQL and SQL databases, including but not limited to Hive, MySQL, and MongoDB/Cassandra.
• Data Operations Knowledge: Comprehension of deployment orchestration, job scheduling, as well as concepts of Data Catalog and Data Governance.
• Containerization and Orchestration Tools: Hands-on experience with Docker and Kubernetes is highly advantageous and will be considered a plus.
• Communication Skills: The ability to clearly articulate and discuss technical issues with both technical and non-technical stakeholders.

We support a diverse workforce.

Siemens is a proud equal opportunity employer, creating a work environment of diversity and inclusion. Our diverse workforce cultivates Innovation and Excellence and in turn creates a workplace where our employees belong and prosper. Diversity and inclusion help us fully realise the potential of our people. As part of Siemens Ownership culture, Siemens also genuinely supports reasonable flexible working practices that empower our employees to best meet work and personal commitments.

Why Work for Us - We Power the Nation

Make the most of your talents and develop products that can create impact on a national scale. We are an in-house data and AI team, assembled to move with speed and deliver with quality.

We Build Reliable Solutions - For Customers, Company and Country

You will be part of the AI Centre of Excellence (CoE) team within SP Digital and together, you will innovate, create, and deploy data and digital products and services that will empower more than 3,800 employees within SP Group and improve the quality of life for the 1.5 million commercial, industrial and residential customers that SP Group serves. We build solutions that enable sustainable high-quality lifestyles and help consumers save energy and utility cost, as well as supporting national goals for a sustainable liveable city. Now, imagine the impact you can create.

SP Digital aims to use cutting edge technologies to help SP Group to revolutionize future utility/energy industry by providing better services and more efficient energy solutions to our customers. Data charter consists of data engineering, business intelligence, data science/machine learning and POC/pilot teams. We oversee and drive all data and AI initiatives for SP group. It includes the following:

• Build next generation data infrastructure to collect/process/analyse different data from utility consumers, grid assets and new sustainable energy solutions.
• Discover the business problems/opportunities and design data-driven solutions to improve operation/ business/ customer experience.
• Uncover the actionable insights for multiple stakeholders to drive business growth.

The mission of the AI-CoE team is to help SP to become a data-driven company and create data-centric products. As an AI-CoE team member, you will be responsible for designing, developing and deploying data-driven solutions to create business value. We are looking for a data analyst who will help us process a myriad of business data and discover patterns and insights hidden in the data. Your primary focus will be in applying data wrangling and data pre-processing techniques to build high quality data marts and extract insights from these data marts to improve our customer facing products and services. You will work closely with internal stakeholders and business owners and data engineers to understand the business requirements, in-house infrastructure and help build solutions for different business users.

What You'll Do

• Understand the business logics from domain experts and come up with feasible plans for the preparation of various data.
• Enhance existing data via data wrangling, perform data pre-processing, cleansing, and feature engineering.
• Apply appropriate data visualisation techniques and create data dashboards to present the required insights to the business users and prepare data reports to communicate your findings.
• Build agile data products and services with a team of data engineers, scientists and business users.
• Do ad-hoc analysis and present results in a clear and unambiguous manner.

What You'll Need

We are looking for Passion and Data Proficiency

• Data-oriented personality and ideally has experience in software engineering practices.
• Excellent understanding of visualization techniques, and their pros and cons for different analyses.
• Experience with common data dashboarding tools such as Power BI.
• Experience with data visualization tools such as D3.js, matplotlib, etc.
• Proficiency in using query languages such as SQL.
• Good understanding of statistics, such as different probability distributions and A/B testing.
• Good understanding of Computer Science/Engineering, Applied Mathematics, Business Intelligence/Analytics or other related areas.

We regret that only shortlisted candidates will be notified.

Key Responsibilities:

• Perform purification of mammalian recombinant antibodies and proteins using various chromatography methods such as affinity chromatography, ion exchange chromatography, and size exclusion chromatography
• Develop and implement purification schemes based on order requirements
• Maintain accurate records of purification experiments and ensure data integrity
• Contribute to multiple R&D projects as a member of the project team
• Draft and update Standard Operating Procedures (SOPs) and prepare reports to document work experiences
• Manage laboratory instruments and perform maintenance as needed
• Assist with other tasks as assigned by the supervisor

Key Requirements:

• Bachelor's or Master's degree in Biological Sciences, Bioengineering, Chemical Engineering, or related fields
• Proficiency in protein/antibody purification techniques
• Strong troubleshooting skills to address experimental challenges
• Excellent communication skills, both verbal and written
• Ability to work effectively in a team-oriented environment

Responsibilities:

• Handle user account requests, ensuring accuracy and compliance with established protocols
• Maintain a methodical record of user account details and updates in designated database
• Respond to user inquiries regarding account requests in a timely and professional manner
• Collaborate with other team members to streamline account request processes
• Generate regular reports on account status, user activity, and other relevant metrics
• Provide administrative support and any other ad-hoc duties, if assigned

Qualifications and experience:

• Fresh ITE/Polytechnic graduates are welcome to apply
• Proficient in using office software for data entry, communication and report generation

Location: Buona Vista

Salary: TBA

Contract Period: 9 months

• Develop and maintain scalable data pipelines, automating data flows and ensuring efficient data transfer between
systems.
• Create and maintain data connectors via APIs, enabling seamless integration across various data sources.
• Manage and optimize Google BigQuery for data warehousing, ensuring the quality and integrity of data from
capture to reporting.
• Leverage technologies such as Python, R, Airflow, and dbt for data orchestration, analysis and automation.
• Collaborate with cross-functional teams, including IT, Digital Learning, and divisional teams, to streamline processes
and establish data management best practices.
• Assist with the development of interactive data dashboards in Looker Studio and other visualization tools, providing
insights for faculty, staff, and management.
• Design and implement data visualizations, ensuring adequate, accurate, and legitimate data collection techniques.
• Maintain updated documentation and manage change processes for data systems, adhering to data governance
standards.
• Stay updated with the latest technological trends in educational software and data systems, recommending and
adapting new solutions.
• Serve as the main point of contact between data owners, identifying data issues, and providing technological
solutions.
• Assist in project management, including formulating strategies for effective data use and producing knowledge
base and training materials.

Qualifications
• Degree in Computer Science, Data Science, Data Engineering, or a related field, with relevant certifications.
• At least two years of experience in data automation and engineering, with a portfolio that includes academic
projects or work.
• Proficiency in data engineering and automation technologies, including advanced SQL, JavaScript, CSS, HTML, and
version control systems like Github or SVN.
• Experience with data visualization tools like Looker Studio and data warehousing tools such as BigQuery.
• Understanding of various database types (Relational, NoSQL, etc.), and OLAP/OLTP systems.
• Familiarity with machine learning and predictive analytics is highly desirable.
• Strong analytical skills, with the ability to resolve technical issues systematically.
• Excellent verbal and written communication skills, with a positive and growth mindset.
• Ability to work independently, maintain confidentiality, and manage time effectively.
Contacts
• Students, Staff and Vendors

Working Conditions
• School Environment
• Working hours 8am to 5pm, Monday to Friday