Job Title: Senior Data Engineer - ETL

Job Location: Jurong, Singapore

Job Type: Contract - 3 Years

Working Hours: 8:30 AM - 6:00 PM

Job Scope: As a Data Engineer, you will part of our Data Engineering team to lay the foundation for all data analytics work. We build and maintain critical data pipelines, create and maintain large and interesting datasets to generate business insights and to enable data driven decision making and support the rapidly growing and dynamic business demand for data. As a data engineer, you will have an opportunity to collaborate and work with various teams within Organisation to determine how best to design, implement and support solutions.

Job Responsibilities

• Design, build and maintain data pipelines to produce ready-to-use datasets to data consumers.
• Actively partners with the business to model datasets from various business domains.
• Provide quality datasets in a timely fashion to meet downstream needs - data analysts, applications, reporting representatives.

Job Requirements

• Bachelors Degree in Information Technology or Engineering
• 3+ years of Experience in delivering data warehouse and/or data lake solutions ETL and streaming job design, scheduling, and monitoring experience.
• Experience in Attunity CDC, Apache Kafka, Talend will be advantageous.
• Some data modelling experience will be advantageous.
• Unix/Linux familiarity and shell scripting experience.
• Good communications skills, both verbal and written.
• Working knowledge of source-code control using common tools available such as Git.
• Experience in using SQL as well as NoSQL Databases (such as MongoDB).

This is an outsourced role.

If you are interested, kindly send your resume (in MS Word format) to Mounika at [email protected] stating your salary expectations & availability to take it forward.

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

§ Planning, co-ordination and execution of LTA and SMRT projects

§ To attend all interface and co-ordination meetings with different stakeholders and contractors

§ Installation, monitoring, supervision, testing and troubleshooting of RTU at site

§ Preparation of project documents and drawings

Requirements:

§ Relevant Diploma in Electrical Engineering/Computer Engineering from a recognised Polytechnic

§ Strong interpersonal skill with a positive attitude

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 3 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Job Title: Data Engineer - ETL

Job Location: Jurong, Singapore

Job Type: Contract - 3 Years

Working Hours: 8:30 AM - 6:00 PM

Job Scope: As a Data Engineer, you will part of our Data Engineering team to lay the foundation for all data analytics work. We build and maintain critical data pipelines, create and maintain large and interesting datasets to generate business insights and to enable data driven decision making and support the rapidly growing and dynamic business demand for data. As a data engineer, you will have an opportunity to collaborate and work with various teams within Organisation to determine how best to design, implement and support solutions.

Job Responsibilities

• Design, build and maintain data pipelines to produce ready-to-use datasets to data consumers.
• Actively partners with the business to model datasets from various business domains.
• Provide quality datasets in a timely fashion to meet downstream needs - data analysts, applications, reporting representatives.

Job Requirements

• Experienced in delivering data warehouse and/or data lake solutions ETL and streaming job design, scheduling, and monitoring experience. Experience in Attunity CDC, Apache Kafka, Talend will be advantageous. Some data modelling experience will be advantageous.
• Unix/Linux familiarity and shell scripting experience.
• Good communications skills, both verbal and written.
• Working knowledge of source-code control using common tools available such as Git.
• Experience in using SQL as well as NoSQL Databases (such as MongoDB).

This is an outsourced role.

If you are interested, kindly send your resume (in MS Word format) to Mounika at [email protected] stating your salary expectations & availability to take it forward.

Data & Backend Developer (106)

Requirements

• Diploma or Degree in computer science or a related field.
• Proficiency in Python development, including experience with FastAPI, Django, Docker, Nginx, Snowflake.
• Strong knowledge of a backend programming language and an in-depth understanding of web development.

Responsibilities

• Involved in horizontal team delivering core capabilities and products.
• Main expertise is to be Python, Django framework and FastAPI.
• Responsible to design, develop and maintain service layer for business logics and APIs for the product.
• Prior/hands-on experience in Data Engineering ETL, SQL, generative-AI, NLP are preferred.

Kindly indicate 106 – Data & Backend Developer on the subject

Interested applicants may send in their detailed resumes in MS Word to Meme @ [email protected]

IT Consultancy & Services Pte Ltd

EA No: 92C5311 | EA Reg No. R23116792 | www.itcspl.com

We regret that only shortlisted candidates will be notified.

• Opportunity to work with a leading investment firm in the world
• Global team with exposure of new AI tech

About Our Client

Our client's AI team, which helps organizations by facilitating data scientists and ensuring governance for responsible and ethical AI use. They are developing advanced analytics, machine learning models, and providing data-driven insights to business leaders worldwide.

Job Description

As a Data Scientist, you are responsible for:

• Develop and apply machine learning models, employing techniques like linear regression, logistic regression, decision trees, and both supervised and unsupervised learning, to address intricate business challenges.
• Conduct data analysis to derive insights from extensive datasets.
• Collaborate with stakeholders throughout the organization to comprehend business requirements and transform them into data-driven solutions.
• Work alongside citizen data scientists, empowering them to harness data and construct models tailored to their business problems.
• Enforce governance measures to ensure the responsible and ethical use of data, while staying abreast of the latest advancements in machine learning and data science.

The Successful Applicant

Suitable applicants should hold a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Actuarial Science, or a related field, with at least 2 years of data science experience. Proficiency in Scikit-learn, Python, PySpark, SQL, and data visualization tools (e.g., Power BI, QlikSense) is required. Strong communication, problem-solving skills, and experience with GenAI solutions are essential.

What's on Offer

• Permanent role with advanced technology exposure.
• Joining a well-established investment firm

Job Description

Diploma/ Degree in Electrical / IT Entry level / Junior Welcome apply

Experience candidates welcome apply

1 month AWS , Variable Bonus up to 3 months / 5 days work week

Responsibilities:

• Project execution and implementation activities for Energy Monitoring/Systems Projects.
• Design, planning and co-ordination of projects.
• Co-ordinate site staff and plan site activities for ongoing projects/maintenance projects.
• Perform and assist in project site testing and commissioning activities.

Requirements:

• Relevant Diploma/Degree in Electrical Engineering/Computer Science
• Good Pay + Good allowance + Good Bonu
• Salary for experience candidates will be considered based on the years of experience and our internal salary structure
• 1 month AWS

Variable Bonus ranging from 1 to 3 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

• 
  
• Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)
• Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )
• 
  

Job Description

• Good Bonus - AWS + 3 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply
• Entry level / Junior / Senior / No experience welcome apply X 3 Opening
• Full training provided

Responsibilities

• To coordinate and support the execute of service contracts for 66/22/6.6kV RTUs
• Carry out routine and corrective maintenance, testing and repair works to ensure smooth and proper contract execution according to contractual agreements
• Ensure smooth and proper execution of projects/contracts

Requirements

• Minimum a Diploma in Electrical/Electronics/Computer/Software Engineering from a recognized local polytechnic
• Preferably have some working experiences in executing similar projects in utilities and engineering

Good Pay + Good allowance + Good Bonu

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 3 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Data Scientist

• Permanent position
• Two positions open

Our Client

• A multinational insurance company

The Opportunity

As a Data Scientist, you will be responsible for creating and implementing complex machine learning models, performing data analysis, and driving insights from large datasets. You will work with stakeholders across the organization to understand their business needs and translate them into data-driven solutions. You will also work closely with citizen data scientists to help them leverage data and build models for their business problems.

Key Responsibilities:

• Develop and implement machine learning models to solve complex business problems, using techniques such as linear regression, logistic regression, decision trees, and other supervised and unsupervised learning models.
• Perform data analysis and create insights from large datasets.
• Work with stakeholders across the organization to understand business needs and translate them into data-driven solutions.
• Collaborate with citizen data scientists to empower them to leverage data and build models for their business problems.
• Enforce governance to ensure responsible and ethical use of data.
• Keep up-to-date with the latest developments in machine learning and data science.

Your Background

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Actuarial Science or related fields.
• At least 2 years of experience (junior) and 10+ years of experience (senior) in data science or related field.
• Strong knowledge of machine learning algorithms and statistical modelling techniques, especially using Scikit-learn.
• Proficiency in Python, PySpark and SQL.
• Experience with data visualization and reporting tools (e.g. Power BI, QlikSense).
• Excellent communication and problem-solving skills.
• Experience with GenAI solutions and prompt engineering.

Candidates with the following background would be preferred:

• Familiarity with actuarial methods and models.
• Experience in MLOps and data pipelines eg, Bitbucket, Artifactory, Jenkins
• Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch).
• Experience with cloud-based services (e.g. AWS, Azure, GCP).
• Knowledge of big data technologies (e.g. Hadoop, Spark).
  If you're interested in this position, please send your resume and cover letter to [Global Group AI team email address]. We look forward to hearing from you!

Interested parties please click "Apply Now" or send your CV directly to Maricris Fermin (EA Reg no: R1110126) at [email protected].

Peoplebank Singapore Pte Ltd, EA Licence Number: 08C5248.

Job Description & Responsibilities

• Apply data mining, data modelling and machine learning to extract and analyse information from large datasets
• Managing data pipelines, prepare, process and clean data through the use of python
• Strong hands-on experience of SQL skills in any RDBMS (experience with Snowflake is a plus).
• Strong understanding and experience of DBA knowledge and Excel.
• Strong hands-on experience in using Python to perform ETL/backend and stay up to date with latest libraries.
• Experience in automation testing and CICD pipelines.
• Strong understanding of data modeling concepts and able to design various components of data model and data engineering solution.
• Able to review solution design and perform code review
• Python and SQL.
• Good understanding of containerization platform.
• Good database concept

SKILLS: Python, Sql, ETL, CI/CD,DBA, ETL, snowflake

Job Description

• Industry/ Organization Type: Accounting Firm (Global)
• Position Title: Risk Management Manager (ERM & Data Protection)
• Working Location: Central
• Working Hours: 5 days, Monday – Friday (8:45 AM – 5:30 PM)
• Salary Package: Basic + Twice Yearly Performance Bonus
• Duration: Permanent

Key Responsibilities

• Collaborate with stakeholders to develop and implement the firm's enterprise risk management framework.
• Identify, assess, and monitor risks across various business units.
• Create and maintain a robust risk reporting system, providing timely and accurate information to senior management.
• Assist in the assessment, management, and monitoring of compliance with relevant data protection laws.
• Develop, update, and enforce policies and procedures related to data protection.
• Conduct data protection impact assessments as needed.
• Review basic legal documents, including Non-Disclosure Agreements (NDAs) and Client Agreements.
• Keep the firm's policies up-to-date based on regulatory changes.
• Address inquiries related to onboarding, continuance assessment, independence, anti-money laundering, and data protection.
• Conduct regular compliance testing to ensure adherence to the firm's policies.
• Organize and prepare information for reporting to regulatory bodies and the group.
• Facilitate and deliver training programs related to risk management.

APPLY NOW!!!

• Degree in Accountancy, Business or relevant discipline.
• At least 5 years of relevant experience in an international public accounting firm, financial institution or multinational company.
• Advantageous to have experience in ERM and/or data protection.
• Possess keen interest in the international development of risk management policies with a good understanding of regulatory compliance.
• Strong communication and teamwork skills, with ability to communicate effectively with cross-functional teams.

Please apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #65790 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

Data Foundation Engineer

1 year contract, potential to renew

Come and join us!

Do you wish to work in a world-class organization trying your hands at something you have dreamt of doing?

“FIND YOUR PLACE” by joining a world-class US Healthcare company

Get an opportunity to explore new technology, learn new skills, enjoy the diverse and open culture, engagement and care, flexible working model, career opportunities, competitive salary and bonus, and endless amenities and benefits.

Company Description:

Our client is a US healthcare company with a broadly diversified business across consumer, pharmaceutical and medical device segments. With over $93B in 2021 sales, they have more than 140,000 employees across 60 countries with a heritage of more than 130 years.

Key Responsibilities

• Serve as the primary associate responsible for the clear definitions of data, ensuring the correct usage and context of data, enforcing policy/security/privacy requirements, and maintaining data quality and integrity within a respective business data domain and council.
• Drive discussions on data definition and classification based on lineage and business transformation data.
• Define and assist with implementing specific data quality requirements and present metrics documenting adherence and improvements to data quality rules.
• Conducting regular housekeeping tasks within data tools to maintain efficient processes.
• Assisting in the implementation of best practices for data collection, storage, validation, and reporting to minimize errors and ensure compliance.
• Manage business definitions within a business glossary by working with users to identify key business terms and definitions, identify opportunities to standardize terms while ensuring compliance with naming conventions and standards
• Manage data quality standards by participating in their development and ongoing maintenance. Help agree and oversee enterprise data quality standards within the data stewardship community, communicating these to the Data Strategy working group
• Oversee data quality by defining rules to ensure the accuracy, completeness, and consistency of data sets. Support the automation and application of data quality rules to data, and monitor compliance, acting when issues are identified to maintain a high level of data quality
• Oversee the data life cycle, ensuring appropriate systems and processes are in place to effectively manage the creation, curation, security, and retention of data assets. Ensure use of data is compliant with all relevant legislation.
• Collaborate with IT teams to implement current plans and programs
• Working with Market Data Stewards in markets like Japan, Australia, Korea and China

Qualifications, Relevant Skills, Knowledge, and Experience

• Bachelor’s degree in data science, information systems, computer science or equivalent degrees.
• At least 1 years of experience working with data within pharmaceutical / life science industry
• Experience in data management, data governance, data quality, master data management, and/or designing and implementing functional systems and data in a structured process preferred
• Strong proficiency in data analytics tools or data management software

o Data Catalog: Collibra

o Master Data Management: Pimcore

o Data visualization: Power BI, Tableau

o Data modelling: SQL (required), Dataiku

• Proficiency in MS Office (Excel, Word, PowerPoint).
• Strong attention to detail and ability to notice discrepancies in data.
• Self-starter with the ability to set and meet objectives and work independently.
• Interest in learning about data analytics and discovering ways to create competitive edge in business performance.
• Deep understanding of respective business data domain(s)
• Quickly adapts to a diverse array of changing needs, conditions, priorities, or opportunities

Benefits

• Exposure to real business problems, be part of a team creating tangible solutions tackling and solving real business problems.
• Become knowledgeable and educated on a wide range of data analytics use cases in supply chain and logistics.

Applicants must be fully vaccinated or have a valid exemption in accordance with MOM’s regulations to allow them to enter the workplace. Applicants may be required to share verifiable COVID-19 vaccination documents or proof of a valid exemption at the point of offer. Randstad Pte. Limited and/or the Client reserves the right to withdraw an offer if the applicant fails to provide verifiable COVID-19 vaccination and/or proof of exemption documents.

Interested parties, please apply through this link https://jnj-apac.talent-pool.com/projects OR click on APPLY button.

Alternatively, you can share your CV at [email protected]

EA License: 94C3609

Reg No: R1440247

AVP, Azure Data Engineer (Permanent)

Responsibilities:

• Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.
• Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards.
• Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements
• Automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
• Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications

Requirements:

• Bachelor’s degree in Information Technology, Computer Science, or equivalent with min. 10 years of experience in Data Warehousing, Data Analytics, Realtime data integration or Business Intelligence
• Experience building and optimising ‘big data’ data pipelines, architectures, and data sets
• Strong analytic skills related to working with unstructured datasets
• Experience in Azure database platforms e.g., Azure SQL database, Azure Databricks, Azure data Lake Gen2
• Experience in Azure data integration tools e.g., Azure Synapse, Azure Data factory,
• Experience in Programming language: R & Python
• Possess architectural sense in connecting data sources, data visualization, structured and unstructured data.
• Experience in machine learning and predictive analytics

Additional info:

• Company industry: IT Solution under Japanese Bank
• Location: Expo

For more information, please visit to www.gmprecruit.com and search for Job Reference: 23761
To find out more about this opportunity, please contact Ai Linh at [email protected]
We regret that only shortlisted candidates will be notified.

GMP Recruitment Services (S) Pte Ltd | EA Licence : 09C3051 | VO UYEN AI LINH | Registration No: R 22109232

Job Description

• Industry/ Organization Type: Digitization solutions/services
• Position Title: Data Processing Executive
• Working Location: Marymount
• Working Hours: Monday – Friday, 9 am – 6.15 pm
• Salary Package: Up to $1,400
• Duration: Permanent

Key Responsibilities

• Checking all the inward documents with the provided list from customer.
• Document Preparation – Removing documents from bindings, removing staples, removing tags & binders.
• Scanning – Scanning of documents with production scanner.
• Quality Control – Checking all the scanned images with original documents and marking all the errors.
• Capturing indexes from documents and populating them in Excel or Word.
• Filling up all the records and reports required for daily production.
• Helping logistic person to receive and deliver documents from various clients.

APPLY NOW!!!

• Candidates without experience are welcome to apply.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #65852 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Norman Wee | EA Reg No.: R23115114