One North Consulting is currently hiring Data Engineers with about 8+ years of experience as per details given below.

Interested Singapore Citizens / Singapore Permanent Residents can connect on email id - [email protected]

Skills & Responsibilities: -

As Data Engineer, you will focus on managing the Hadoop cluster, implementing data ingestion framework designing data models.

Your primary role will be to implement data lake & transform the data for business use.

• Experience with at least one Cloud Infra provider (Azure/AWS)
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, DataSet / Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Write SQL scripts to test ETL results
• Write scripts to regression test the ETL iterations already completed
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience with CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Understanding of DevOps practices using Git version control
• Debug, fine tune and optimize large scale data processing jobs
• Deliver big data solutions based on premise Hadoop or cloud-based systems like AWS.
• Manage Hadoop cluster, participate in scale out planning & implementation.
• Design ingestion layer for structured & unstructured data (text, voice, xml etc)
• Implement specific data model for business & analytics use.
• Deliver ELT solution including data extraction, transformation, cleansing, data integration and data management.
• Augment with new sources of data including internal/external untapped data.
• Contribute to the establishment and maintenance of cloud computing platform and big data services.
• Provide support for analytics tools & environment like RServer etc & debug performance issues.

Competencies :-

• Databases: RDBMS, SQL programming
• ETL and Data Integration Tools: Azure Data Factory (ADF), Microsoft SQL Server Integration Service(SSIS), SAS Data Integration
• Big Data: Hadoop (Hortonworks), Hive, Spark, Sqoop, etc
• Programming and Scripting: Linux/Unix Shell Scripting, Java, Scala, Hive QL
• BI/Dashboarding: SAS Visual Analytics, Qliksense

Working Experience:

• 8+ years (no upper limit) in data engineering and modelling.
• Hands-on in MS SQL. Should be an expert in MS SQL queries and scripting.
• Hands-on experience in testing ETL systems is mandatory
• Hands-on in managing data mapping, data quality and integrity, performance in data processing.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information
• Experience in Agile software development.
• Candidate should be able to create executable scripts for regression testing purposes
• Experience in testing SSIS ETL mappings is good to have
• Visualise, interpret, and report data findings and may create dynamic data reports as well

If interested, please email us your CV to [email protected]

Responsibilities:

• Responsible for design and optimizing of complex SQL queries to generate reports from the data platform.
• Ensure the accuracy, security and reliability of data used in generated reports. Making sure that the data follows local regulations and company policies.
• Support the creation of data visualization tools and dashboards, ensuring they are built on robust and reliable structures within the company's data platform.
• Collaborate with Data Engineers, Data Scientists, and Data Management teams.
• Liaise with business departments to understand their reporting requirements.
• Conduct in-depth analyses to identify trends, patterns and actionable insights.
• Identify automation opportunities and manage departmental automation processes.
• Improve data collection models and ensure the performance of datasets.
• Develop and maintain documentation including data dictionaries and report definitions.
• Carry out any additional tasks assigned by the Supervisor.

Requirements:

• Degree in Statistics, Engineering, Computer Science or equivalent.
• At least 2 years of relevant work experience.
• Knowledge of SQL and programming.
• Experience using Python and PowerApps is an added advantage.

Interested applicants are welcome to submit your resume to [email protected]

EA. R1107675

Agency no. 07C3676

We are looking for a highly skilled Data Engineer to join our team and help build scalable data pipelines and systems. The ideal candidate will have experience in designing, implementing, and optimizing data architectures to enable effective data-driven decision-making. This role involves working with large datasets, building ETL pipelines, integrating data from various sources, and collaborating with cross-functional teams to ensure seamless data operations.

Key Responsibilities:

1. Data Pipeline DevelopmentDesign, build, and maintain scalable and efficient ETL/ELT pipelines to extract, transform, and load data from diverse data sources into data warehouses or data lakes.
   Ensure data pipelines are robust, reliable, and optimized for performance.
   
2. Data Integration & StorageIntegrate structured and unstructured data from various internal and external sources.
   Develop and maintain data storage solutions, including data lakes, data warehouses, and databases.
   Work with both relational databases (SQL Server, PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra, DynamoDB).
   
3. Data Modeling & ArchitectureDesign and implement data models to support analytical and reporting needs.
   Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into scalable solutions.
   Implement best practices in data governance, data quality, and metadata management.
   
4. Data Pipeline Monitoring & OptimizationMonitor and troubleshoot data pipelines to ensure data availability, accuracy, and integrity.
   Optimize existing data systems for performance, scalability, and cost-efficiency.
   Implement error-handling mechanisms and recovery strategies for critical pipelines.
   
5. Collaboration & DocumentationCollaborate with software engineers, DevOps teams, and business stakeholders to support data-related technical issues and infrastructure requirements.
   Document data processes, pipeline configurations, and system designs to maintain a clear understanding of the data ecosystem.
   

Required Skills:

• Programming: Proficiency in Python, Java, or Scala for data pipeline development.
• Data Technologies: Experience with Apache Spark, Hadoop, Kafka, and Flink.
• ETL Tools: Experience with ETL tools like Apache Airflow, Informatica, or Talend.
• Databases: Strong SQL skills and experience with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Cassandra).
• Cloud Platforms: Hands-on experience with cloud platforms like AWS (Redshift, S3, Glue), Azure (Data Lake, Synapse), or Google Cloud (BigQuery, Dataflow).
• Data Warehousing: Strong understanding of data warehousing concepts, including dimensional modeling, star/snowflake schema, and data marts.
• Version Control: Proficiency in using Git for source control and versioning.
• Big Data: Experience in working with large datasets and distributed computing frameworks.

Preferred Qualifications:

• Certification in AWS, Azure, or Google Cloud related to data engineering.
• Experience in data streaming technologies like Apache Kafka, AWS Kinesis, or Azure Event Hub.
• Familiarity with DevOps practices and CI/CD pipelines for data infrastructure.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Educational Qualification:

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.

· Proven experience as a Data Engineer, with a strong focus on AWS Redshift.

· Expertise in data modeling techniques and best practices.

· Experience with ETL tools and processes.

· Familiarity with data warehousing concepts and tools.

· Proficient in SQL and scripting languages such as Python or Java.

· Experience with other AWS services such as S3, Lambda, and Glue.

· Strong problem-solving skills and attention to detail.

· Excellent communication and collaboration skills to work effectively with team members and stakeholders.

· Certifications in AWS or data engineering (e.g., AWS Certified Big Data, AWS Certified Data Analytics) are a plus.

We are seeking a highly skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities:

- Data Infrastructure Development:
- Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.
- Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.
- Optimize data storage and retrieval performance in Snowflake.

Data Manipulation and Transformation:
- Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.
- Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.
- Develop and maintain reusable SQL scripts and stored procedures for data processing.

Collaboration and Support:
- Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Provide technical guidance and mentorship to junior data engineers and other team members.
- Work closely with IT and DevOps teams to ensure seamless data integration and deployment.
- Data Layer Preparation:

Design and build data layers to support various analytical and reporting needs.
- Ensure data layers are well-documented, easily accessible, and performant.
- Implement data governance and security best practices to protect sensitive information.
- Performance Tuning and Optimization:

Monitor and optimize the performance of data pipelines, databases, and queries.
- Identify and resolve performance bottlenecks to ensure timely and efficient data processing.
- Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.

Mandatory Skills Description:

Education:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field

Experience:
- Minimum of 5 years of experience in data engineering, with a strong focus on SQL and data manipulation.
- Proven experience working with Snowflake or other cloud-based data warehousing solutions.
- Strong background in designing data model and building scalable data pipelines and data models.
- Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
- Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.

Skills:
- Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
- Strong experience with ETL tools and processes.
- Familiarity with programming languages such as Python.
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.

Location : Ang Mo Kio

Responsibilities:

• Work with clients to determine data storage and organizational needs and Design data infrastructure for clients
• Develop database solutions to store and retrieve company information
• Install and configure information systems to ensure functionality
• Analyze structural requirements for new software and applications
• Migrate data from legacy systems to new solutions
• Design conceptual and logical data models and flowcharts
• Improve system performance by conducting tests, troubleshooting and integrating new elements
• Optimize new and current database systems
• Define security and backup procedures
• Coordinate with the Data Science department to identify future needs and requirements
• Provide operational support

Requirements:

• Work experience as a Data Architect, Data Scientist, Data Analyst or similar role.
• Understanding of database structure principles
• Experience gathering and analyzing system requirements
• Knowledge of data mining and segmentation techniques
• Experience in SQL and Oracle
• Experience in data visualization tools (e.g. Tableau, D3.js and R)

To Apply or find out more information on this role, please email us or send in your updated resume to: [email protected]

Shelly Tan Bee Leng (Reg. No. R2199458)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

Looking for a highly competent Data Architect to play a crucial part in designing and optimizing conceptual and logical database models for customers.

• Design conceptual and logical data models and flowcharts
• Develop database solutions to store and retrieve company information
• Optimize new and current database systems
• Define security and backup proceduresInstall and configure information systems
• Analyze structural requirements for new software and applications
• Migrate data from legacy systems to new solutions
• Improve system performance by conducting tests, troubleshooting and integrating new elements
• Coordinate with the Data Science department to identify future needs and requirements

Requirements:

• 5 years of experience as a Data Architect, Data Scientist, Data Analyst or similar role.
• In-depth understanding of database structure principles
• Experience gathering and analyzing system requirements
• Knowledge of data mining and segmentation techniques
• Expertise in SQL and Oracle
• Familiarity with data visualization tools (e.g. Tableau, D3.js and R)

Please contact us or apply in-confidence your update MS Word Resume to : [email protected]

Kelvin (Reg. No. R1872625)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

We are seeking an experienced and innovative Data Architect to design, implement, and optimize data solutions that empower business decision-making. The ideal candidate will have a strong background in data architecture, analytics, and visualization tools, with the ability to manage and structure data for enhanced usability and scalability.

Key Responsibilities:

• Design and implement robust data architectures to support business intelligence, analytics, and data-driven decision-making.
• Develop and maintain data models, structures, and pipelines to ensure efficient data integration and accessibility.
• Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions.
• Ensure the security, integrity, and scalability of data systems.
• Evaluate and select data visualization tools and technologies to meet business needs.
• Provide expertise in data governance, quality assurance, and best practices for data management.

Requirements:

• Proven work experience as a Data Architect, Data Scientist, or Data Analyst.
• Hands-on experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Strong knowledge of data modeling, data integration, and database design.
• Familiarity with big data technologies and cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
• Proficiency in SQL and other data query languages.
• Excellent problem-solving and analytical skills, with attention to detail.

(EA Reg No: 20C0312)

Only shortlisted candidates will be notified

Please email a copy of your detailed resume to [email protected] for immediate processing.

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Mission Software & Services

Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services. We support our client’s innovation journey through design thinking, analytics, and AI-enabled decision support with our full suite of cloud computing solutions. We provide intelligent, actionable insights and sustainable solutions to our valued partners in diverse industries including defence, government, and commercial sectors.

Together, We Can Make A Significant Impact

We are looking for a highly competent Data Architect to join the team. In this role, you will play a crucial part in designing and optimizing conceptual and logical database models for our customers in the Public Safety & Security sector.

Your responsibilities include designing data infrastructure for our customers to extract and organize data for authorized individuals to access. Your duties include identifying the customer’s internal and external data sources, collaborating with them to determine their data storage and organizational needs and using the information to create and maintain data infrastructure for them.

Be Part of Our Success

• Develop database solutions to store and retrieve company information
• Install and configure information systems to ensure functionality
• Analyze structural requirements for new software and applications
• Migrate data from legacy systems to new solutions
• Design conceptual and logical data models and flowcharts
• Improve system performance by conducting tests, troubleshooting and integrating new elements
• Optimize new and current database systems
• Define security and backup procedures
• Coordinate with the Data Science department to identify future needs and requirements
• Provide operational support

Qualities We Value

• Proven work experience as a Data Architect, Data Scientist, Data Analyst or similar role.
• In-depth understanding of database structure principles
• Experience gathering and analyzing system requirements
• Knowledge of data mining and segmentation techniques
• Expertise in SQL and Oracle
• Proficiency in MS Excel
• Familiarity with data visualization tools (e.g. Tableau, D3.js and R)
• Proven analytical skills
• Problem-solving attitude

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Must have skillset :

· Proficient in Python, SQL, PL/SQL, and CICD.

· Familiarity with data warehouses such as Snowflake and Oracle.

· Strong analytical and problem-solving skills.

· Good team player and communication skill.

Skillset (Good to have)

· Familiarity with Denodo

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Job Description:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Solve complex data problems to deliver insights that help the organization achieve its goals.
• Code in Python with tools like Apache Spark to build a multi-cluster data warehouse.
• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.
• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.
• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
• Strong experience in mapping attributes, data profiling, data cleansing, and technical data quality etc.
• Strong experience in Ansi SQL and in-depth knowledge with structured, semi-structured & unstructured data.
• Must have good knowledge of data lake and working experience of migration projects in cloud with providers like AWS or Microsoft AZURE or GCP.
• Good to have experience in working with No SQL, Spark SQL using AWS Glue, EMR, and columnar data store.
• Good to understand data security features like data masking, data encryption, role based & fine grain access control mechanisms etc.

Qualifications:

• 3+ years of relevant experience in data engineering/analytics space.
• Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python.
• Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka.
• Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience.
• Experience developing solutions for cloud computing services and infrastructure.
• Experience developing and maintaining data warehouses in big data solutions.
• Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective.
• Experience in agile development.
• Strong people skills, specifically in collaboration and teamwork.
• High level of curiosity, creativity, and problem-solving capabilities.

Requirements and Skills: Data Architect

• A bachelor's degree in computer science, information technology, or a closely related discipline is usually necessary. A master's degree is preferable
• Developed comprehensive architectural plans to meet specific budgetary requirements and project timelines
• Understanding the Enterprise Wide Data-Warehouse developed using FSLDM Model, the databases, technicality in loading & retrieving data.
• Produced monthly & Weekly reports through Automation using ETL,Datan Wrangling & BI tools using Enterprise wide DW.
• Utilized data visualization tools to effectively communicate business insights.
• Identified, analyzed and interpreted trends or patterns in complex data.
• Formulate and maintain Data Governance, framework for Data Ingestion, Data Quality tracking, Meta Data Management, Classifiers and Security across Platform layers and application based on sensitivity of data being stored including Data Lake, EDW and Business Intelligence.
• Designed internal process improvements to automate repetitive tasks,shortening data delivery times
• Core-banking Solution to enhance payment processing using Application programming, Containers & APIs.
• Work with Java & front end developers and support back end processing through API's for Domestic & International Payments.
• Design an enterprise wide Warehouse system using FSLDM and Source Core Banking data for Analytics and Regulatory reporting.

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Job Description:

Key Responsibilities:

• Support day-to-day Business-As-Usual (BAU) operations and data engineering activities for the Enterprise Data Warehouse.
• Design, develop, and maintain scalable data solutions for data storage, transformation, and analytics.
• Collaborate with cross-functional teams to ensure seamless data integration and operational efficiency.
• Troubleshoot and resolve technical issues to maintain system performance and reliability.
• Ensure adherence to best practices and standards for data engineering solutions.

Qualifications and Skills:

• A degree in Computer Science, Information Technology, or a related field.
• Strong hands-on experience in:Oracle PL/SQL
  Informatica PowerCenter
  
• Proficiency in SQL across any Relational Database Management System (RDBMS).
• Experience with Systems Development Life Cycle (SDLC) implementation methodologies and/or Agile frameworks (e.g., Scrum, Kanban).
• Ability to learn quickly, adapt to changing requirements, and work in an agile, fast-paced environment.
• Strong analytical and problem-solving skills with a passion for solving complex issues.
• Excellent teamwork and communication skills to collaborate effectively with technical and non-technical stakeholders.
• Experience with dbt Core or Snowflake is a plus.

The successful candidate will play a critical role in supporting the smooth operation of the Enterprise Data Warehouse while ensuring high-quality data engineering solutions and seamless integration across teams.

Job Summary:

We are seeking a skilled and motivated Data Engineer with expertise in Scala, SQL, and Hadoop to join our dynamic team. In this role, you will design, develop, and maintain scalable data pipelines and systems to process large datasets. You will collaborate with cross-functional teams to deliver high-quality solutions for data storage, transformation, and analytics.

Key Responsibilities:

1. Data Pipeline Development

· Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.

· Implement ETL processes for ingesting, transforming, and storing data from various sources

2. Data Analysis and Query Optimization

· Write and optimize complex SQL queries for efficient data retrieval and transformation.

· Troubleshoot and resolve performance issues in queries and data workflows.

3. Big Data Ecosystem Management

· Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.

· Monitor system performance and optimize resource utilization in a distributed environment.

4. Collaboration and Problem Solving

· Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.

· Provide technical guidance and best practices for data engineering within the team.

5. Automation and Monitoring

· Develop scripts and tools to automate repetitive tasks and enhance system monitoring.

· Ensure data quality and consistency through validation and monitoring mechanisms.

6. Documentation and Compliance

· Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.

· Ensure compliance with data governance and security policies.

Skills and Qualifications:

Technical Skills:

· Proficiency in Scala programming and functional programming principles.

· Strong SQL skills, including query optimization and database design.

· Hands-on experience with Hadoop ecosystem tools such as HDFS, Hive, YARN, and MapReduce.

· Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Looking for somewhere fun, supportive where you can grow, develop and make a impact? Well, check us out!

We are a leading marketing and sales company in S.E.A, that works with both national and international MNCs, to help them boost their brand awareness and market shares.

What we do:

• Increase brand awareness and market share of our client
• Develop your communication skills
• Build your leadership capabilities

Benefits:

• Travelling opportunities to different markets eg Taiwan, Hong Kong, US, Australia, KL (based on performance)
• 1 to 1 mentorship and guidance
• Personal development workshops

Who we are looking for:

• Hardworking individuals
• Great learning attitude

Are you the one we are looking for? Apply now to get started!

Looking for somewhere fun, supportive where you can grow, develop and make a impact? Well, check us out!

We are a leading marketing and sales company in S.E.A, that works with both national and international MNCs, to help them boost their brand awareness and market shares.

What we do:

• Increase brand awareness and market share of our client
• Develop your communication skills
• Build your leadership capabilities

Benefits:

• Travelling opportunities to different markets eg Taiwan, Hong Kong, US, Australia, KL (based on performance)
• 1 to 1 mentorship and guidance
• Personal development workshops

Who we are looking for:

• Hardworking individuals
• Great learning attitude

Are you the one we are looking for? Apply now to get started!

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

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 several marketing channels. 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 customers
• Positive, Exciting & Supportive Work Environment. Work Hard , Play Harder !
• Personalised 1-on-1 Training and Development
• Buddy support system
• Opportunities for Personal Development (Interpersonal, Understanding of different personalities and more)
• Clear Career Advancement Pathways
• Travel Opportunities (3-4 times a year based on performance)

WHAT WE WANT FROM YOU :

• No Prior Experience Required
• Eagerness to Learn and Grow
• Strong Communication Skills
• Team Player Mentality

Job Description:

• Proactively identify and connect with potential candidates using innovative sourcing techniques and channels.
• Conduct engaging interviews (both face-to-face and online) to understand candidates’ skills, aspirations, and potential fit.
• Manage and coordinate seamless interview scheduling and logistics for candidates and hiring managers.
• Collaborate with HR executives to meet recruitment objectives and ensure a smooth hiring process.
• Take ownership of various administrative tasks to support the team’s goals and operations.

Job Requirements:

• Degree in any discipline – we value your potential, not just your background!
• Strong organizational skills to manage multiple tasks and timelines effectively.
• Excellent communication skills to build rapport with candidates and stakeholders.
• No prior experience required – we welcome all who are eager to learn and grow!

All qualified applicants, please send in your resume to

[email protected]

Alvin Lee Peck Keong (R1104781)

Recruit Express Pte Ltd (99C4599)

Requirements:

• Excellent ethics and positive learning attitude
• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)
• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm
• Lead and drives a team towards a common goal
• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system
• Performance based
• BUSINESS ADVANCEMENT
• Highly motivated, FUN and FAMILY-liked environment
• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE! We regret to inform you that only shortlisted candidate will be notified.

Responsibilities

• Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.

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

• Write and optimize complex SQL queries for efficient data retrieval and transformation.

• Troubleshoot and resolve performance issues in queries and data workflows.

• Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.

• Monitor system performance and optimize resource utilization in a distributed environment.

Skills/Requirement

• Proficiency in Scala programming and functional programming principles.

• Strong SQL skills, including query optimization and database design.

• Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).

• Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

• Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

• 6+ years of experience in data engineering, big data technologies, or a similar role.

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

• Work with internal & external stakeholders on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support

Requirements:

• At least 2 – 3 years’ work experience in data engineering field, experience with master data management, data governance, data lifecycle management
• Education qualification in Computer Science, Data Science, Machine Learning or relevant field
• Proficiency with relational/non-relational/NoSQL database and enterprise data warehouse/mart
• Experience with big data technologies e.g. Hadoop, Spark, Hive, HBase etc.

Interested candidates may whatsapp your resume to 6421 4965. Only shortlisted applicants will be contacted.

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

Responsibilities

• Designing enterprise-grade Power BI solutions and analytical data modeling.
• Managing and delivering Power BI projects within timelines.
• Developing Power BI standards, guidelines, and best practices.
• Working with data engineers, data scientists, and other stakeholders in the implementation of Power BI dashboards and reports.
• Leading and providing technical support for Power BI dashboards.
• Organizing and holding workshops and clinics to help HPB employees become more adept in Power BI.

Requirements

• Minimum years of experience in end-to-end Power BI dashboard solutions/data visualization design, adopting good practices that encourage efficient data usage, scalability, extensibility, and reusability.
• Relevant work experience in data integration, analytics, data extraction, transformation and load (ETL), basic exploratory data analytics (EDA), data cleaning, and/or feature engineering.
• Experience in data science is an added advantage.
• Strong skills in analytical data modeling and analysis concepts are an added advantage.
• Experience within healthcare industry
• Technically competent in Microsoft BI and DAX (Data Analysis Expressions) scripting.
• Proficient in SQL (Structured Query Language).
• The following experience and knowledge would be advantageous:
  • Proficiency in Microsoft Azure.
  • Experience with PySpark.