Working location: Telok Ayer

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Work in various departments (e.g., marketing, operations, finance) to gain a broad perspective of the business
• Perform assigned tasks and projects in each department to gain hands-on experience
• Participate in structured training programs and workshops
• Gain a thorough understanding of the company's operations, policies, and procedures
• Assist with planning and executing business projects
• Prepare reports and presentations based on findings
• Support daily operations and contribute to process improvements
• Develop leadership and managerial skills through mentorship and coaching
• Take on increasing responsibilities and demonstrate initiative
• Assist managers with administrative tasks and other duties as required

JOB REQUIREMENTS

• Minimum Diploma and above
• Willing to learn and flexibility to adapt to working environment
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Review resumes and applications to pre-screen candidates based on job requirements and qualifications
• Conduct initial phone screens to assess candidate fit and interest in the position
• Schedule interviews between candidates and hiring managers, ensuring availability and minimizing conflicts
• Send follow-up emails, feedback, and next steps to candidates post-interview
• Maintain accurate and up-to-date records in the applicant tracking system (ATS) and other recruitment databases
• Ensure new hire documentation is completed accurately and submitted on time
• Assist in organizing and coordinating recruitment events, such as job fairs, campus recruiting, and open houses
• Represent the company at recruitment events, providing information about job opportunities and company culture

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong organizational and time management skills, with the ability to handle multiple tasks and priorities
• Good communication and interpersonal skills, with a customer service-oriented approach
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Consolidate and analyze financial data (budgets, income statement forecasts etc.) taking into account company’s goals and financial standing
• Provide creative alternatives and recommendations to reduce costs and improve financial performance
• Assemble and summarize data to structure sophisticated reports on financial status and risks
• Develop financial models, conduct benchmarking and process analysis
• Conduct business studies on past, future and comparative performance and develop forecast models
• Identify trends, advise company and recommend actions to a senior financial analyst based on sound analysis
• Gain and update job knowledge to remain informed about novelty in the field
• Consult with management to guide and influence long term and strategic decision making within the broadest scope
• Drive process improvement and policy development initiatives that impact the function

JOB REQUIREMENTS

• Minimum Diploma and above
• Willing to learn and flexibility to adapt to working environment
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Roles & Responsibilities

Work Scopes for Accounts cum HR Assistant

• To manage day to day operations of the Account & HR departments.
• To manage Accounts payable (bill payments, salaries, petty cash etc.) and Accounts receivable through cash / cheque / voucher in a timely manner
• To establish and maintain fiscal files and records to document transactions
• To maintain and reconcile cash / financial accounts
• GST Filing & Filing of Income Tax
• To complete and coordinate annual audits and provide recommendations for improving procedures and systems for initiating corrective actions
• To organize, compile, update and renewal of company licenses
• To manage HR functions such as payrolls, update employee benefits, employment status such as new hires, terminations, sick leaves, warnings, vacations and days off
• Processing of Work Pass Applications / Cancellations / Transfers (Work Permit, S Pass and E Pass)
• Monthly CPF contribution and submission
• To upkeep workers training and certificate renewal
• Other ad-hoc duties when assigned

Requirements

• Diploma or Bachelor’s Degree with at least 2 years of relevant experience
• Good communication, interpersonal skills and detail oriented
• Able to start with short notice

• To support and handle all Production Department’s administrative tasks.
• To take care of all documentation related to production.
• To perform data entry and stock check and other functions that may be assigned by the In-Charge from time to time.
• Maintaining a file of all production documentation such as contracts, invoices, correspondence, and other records.
• Coordinate interactions with inter departments.

Roles & Responsibilities

· Serves customers by selling products and meeting customer needs.

· Services existing accounts, obtains orders, and establishes new accounts by planning and organizing daily work schedule to call on existing or potential sales outlets and other trade factors.

· Adjusts content of sales presentations by studying the type of sales outlet or trade factor.

· Flyer distributor

· Maintain a clean and safe work environment

Job Responsibilities

. Provides administrative support to ensure efficient operation of office.

. Carries out administrative duties such as filing, typing, copying, binding, scanning etc.

. Exhibits polite and professional communication via phone, e-mail, and mail.

. Supports team by performing tasks related to organization and strong communications.

. Contributes to team effort by accomplishing related results as needed.

Requirements

. Able to speak and write in both Chinese and English.

. 1 years working experience as an admin.

. Able to work independently with minimum supervision.

. Responsible, mature and well-groomed.

. Good communication skills.

Working Hours

Monday to Friday : 8.30am - 5.30pm

Job Responsibilities

• File and organize documents
• Order office supplies
• Help with basic data entry and paperwork

Requirement:

• Min Diploma in any course

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Job Details

• Full-time position with comprehensive benefits (Annual leave, medical benefits, variable bonuses)
• Monday to Friday 8.30 am-5.30 pm
• Located in the East area;
• Proficiency in Business reporting is a must-have, Data Crunching with expertise in SQL, Power BI, Microsoft Excel (including Pivot tables and V lookup), Tableau, Python.

Job Responsibilities:

• Develop and manage data warehousing and dashboards for Sales, Procurement, Inventory, Warehouse, AR, AP, and GL modules.
• Lead and execute BI projects, ensuring timely Go Live and seamless integration.
• Utilize Microsoft SQL Server Integration Services (SSIS) for efficient data warehousing and reporting.
• Strategize and plan the BI roadmap to support smooth organizational operations.
• Conduct regular reviews of BI projects, providing progress updates to management.
• Maintain BI servers and data marts to ensure optimal performance and reliability.
• Collaborate with stakeholders, manage vendors, and prioritize projects for high-quality deliverables and maximum ROI.
• Implement information security policies across IT functions and address any identified gaps.
• Foster a high-performance culture within the technology services team, optimizing resource allocation and conducting performance appraisals.
• Ensure solutions are thoroughly tested, meet specifications, and adhere to timelines from request to deployment.
• Lead IT management activities, including Application Management, Project Management, and Vendor Management.
• Oversee all projects, ensuring adherence to management principles and effective risk management.

Requirements:

• A hands-on role with at least 5 years of experience in a similar position, with broad functional expertise, preferably in the retail industry, and technical expertise in BI Tools and all facets of IT management and technology trends.
• Working knowledge of business process design and conceptualization skills are essential.
• Must know MS SQL/SSIS, and knowledge of Crystal reports/Qlik View/Excel VBA/Python is an advantage.
• Experience with Navision is an advantage.
• Essential skills in Microsoft Office, including Word, PowerPoint, and Excel.

Interested applicants, please send your resume

to [email protected] or press "APPLY NOW"

Align Recruitment Pte Ltd (20C0253)

Tee Siew Mei (Reg No: R1219651)

Morgan McKinley is seeking a Data Engineer for a 6 month contract assignment with a possibility to extend or to go perm!

Responsibilities:

• Collaborate across multiple workstreams to gather and support data requirements for reports and dashboards.
• Analyze and perform data profiling to identify data patterns and discrepancies, adhering to Data Quality and Data Management processes.
• Follow best practices in designing and developing end-to-end data pipelines, including data transformation, ingestion, processing, and surfacing of data for large-scale applications.
• Utilize Azure technology stack to develop and automate data pipelines with Databricks and Data Factory.
• Translate business requirements into technical specifications for system analysts and technical teams to facilitate project design and delivery.
• Conduct source data analysis and perform data ingestion in both batch and real-time patterns using various methods such as file transfers, APIs, and data streaming (Kafka and Spark Streaming).
• Develop ETL processes with Spark to transform and standardize data according to business needs.
• Create data exports, data APIs, and data visualizations using tools like Power BI, Tableau, or other visualization platforms.

Qualifications:

• 3 to 5 years of experience in data engineering, specifically with Databricks and Python.
• Strong proficiency in Python and Databricks is essential.
• Experience with AWS cloud technologies is preferred.
• Familiarity with data processing, ETL development, and data visualization tools.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to collaborate with technical and non-technical teams.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.


Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Financial Services (FSO) and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including asset management, banking and capital markets, insurance and private equity, we provide integrated advisory, assurance, tax, and transaction services.

The opportunity

With our Data & Analytics team in FSO experiencing rapid growth, now is an exciting time to join us on this journey. We are looking for talent with a passion for data and the know-how to partner with our to clients to disrupt and transform Financial Services organisations.

We are seeking a skilled Data & AI Engineer to join our dynamic team. The ideal candidate will support the development and deployment of scalable and optimized AI/machine learning (ML) models. The role focuses on working with large volumes of real-time, unstructured data to build AI/ML solutions that transition from theoretical models to practical applications. The Data & AI Engineer will also run performance tests, troubleshoot, and ensure smooth operationalization of these models in a production environment while leading and overseeing project teams towards completion.

Key Responsibilities:

• AI/ML Model Development & Optimization: Design, develop, and optimize AI and machine learning models for real-time applications. Build algorithms for data extraction, transformation, and loading (ETL) to manage large volumes of unstructured data.
  
• Model Deployment:Work closely with data scientists to deploy AI/ML solutions from theoretical models to production-ready systems. Collaborate with software engineers to ensure proper integration of models within relevant platforms.
  
• Performance Testing & Debugging:Run experiments to assess the performance of deployed models in real-time environments. Identify, troubleshoot, and resolve issues that may arise during deployment, ensuring model reliability and scalability.
  
• Collaboration & Cross-functional Work:Collaborate within a multidisciplinary team, applying your expertise in statistics, data science, and programming. Work closely with data engineers, software developers, and other stakeholders to ensure cohesive AI solution delivery.
  
• Technology & Platform Support:Stay up to date with the relevant software platforms and infrastructure necessary for deploying machine learning models. Ensure compatibility and seamless integration with the firm’s technical stack and production systems.

To qualify for the role, you must have

• Minimum 10 years’ experience in Financial Services (either industry or consulting and appropriate to your level). Preferably a year of consulting experience in any of the Big 4 or consulting firms.
• Proficiency in scripting and programming languages such as Python, R, or Java.
• Strong experience in data extraction, transformation, and loading (ETL) processes for large, unstructured data sets.
• Solid understanding of AI/ML model deployment practices, including cloud-based platforms (AWS, GCP, or Azure).
• Experience running model performance tests, identifying bugs, and implementing solutions in production environments.
• Knowledge in statistics, data science, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Ability to work collaboratively in a fast-paced team setting.
• Proficiency in scripting and programming languages such as Python, R, or Java.
• Strong experience in data extraction, transformation, and loading (ETL) processes for large, unstructured data sets.

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What we offer

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

Apply now.

Job Details

• Full time position with comprehensive benefits (Annual leave, medical benefits, variable bonuses)
• MNC environment
• Monday to Friday 8.30am-5.30pm

Job Description:

• To plan & execute the implementation of the agreed initiatives for MIS Section.
• Fully understand the business requirements and translate these to effective and meaningful information.
• Build and modify operational database structures as identified based on business requirements
• Manage and maintain the Change Request for MIS
• Assist in data mining, data cleansing and data extraction
• Ensure data integrity
• Manage companywide management reporting requirement and deliver reports timely to the management team and business units
• Documentation of Request for reports, SOP and business requirements.
• Responsible for CRM related activities and Analysis
• Produce reports using the BI tools
• Support general day to day MIS activities

Job Requirements

• You will need to have minimum of 1 year of relevant experience
• Knowledge of SQL & Excel Is a MUST requirement
• Knowledge in Crystal reports/Qlik View/Excel VBA/ Tableau is an advantage.
• Experience with Navision is advantage.
• Skills in Microsoft office like Word, PowerPoint and Excel is essential.
• Hands-on experience in ETL

Interested applicants, please press "APPLY NOW" or email your resume to [email protected]

Align Recruitment Pte Ltd (20C0253)

Tee Siew Mei (Reg No: R1219651)

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

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

Data Engineer

• 6 months contract with a possibility of extension
• Work location: CBD

Our Client

• MNC IT company

The Opportunity

• Work across workstreams to support data requirements including reports and dashboards
• Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes
• Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications
• Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery
• Analyze source data and perform data ingestion in both batch and real-time patterns via various methods; for example, file transfer, API, Data Streaming using Kafka and Spark Streaming
• Analyze and understand data processing and standardization requirements, develop ETL using Spark processing to transform data
• Understand data/reports and dashboards requirements, develop data export, data API, or data visualization using Power BI, Tableau, or other visualization tools

Your Background

• More than 3 years of experience in data engineering fields
• Data Engineering skills: Python and Databricks
• Preferably with working experience in AWS cloud

Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information.
Peoplebank Singapore Pte Ltd, EA Licence Number: 08C5248.

Job Title: Data Engineer (6-month Contract)

Experience Required: 3-5 years

Key Responsibilities:

• Develop and optimize data pipelines and workflows using Databricks.
• Write and maintain efficient, scalable Python code for data processing.
• Integrate, manage, and process data on AWS cloud infrastructure (preferred).
• Collaborate with cross-functional teams to ensure data quality and integrity.
• Troubleshoot and resolve data-related issues in a timely manner.

Key Requirements:

• 3-5 years of hands-on experience in Databricks and Python.
• Proven experience with AWS cloud services (preferred).
• Strong problem-solving skills and attention to detail.
• Ability to work independently and meet project deadlines.

Responsibilities:

· Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

· Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

· Ensure data quality and integrity throughout the data processing lifecycle

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

· Optimize data engineering workflows for containerized deployment and efficient resource utilization

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

· Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

Requirements:

· Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Graphana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

· Excellent collaboration and communication skills to work effectively with cross-functional teams

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Data Engineer

• Design, develop, and maintain scalable data pipelines using Hadoop, Apache Spark, and related Big Data technologies.
• Implement ETL (Extract, Transform, Load) processes to manage large-scale data from various sources.
• Collaborate with cross-functional teams to define data architecture, data models, and pipelines that support banking applications and analytics.
• Develop and optimize complex SQL queries for data extraction, aggregation, and transformation.
• Work with business stakeholders to understand banking requirements and translate them into technical specifications for data solutions.
• Implement data quality controls and performance optimization techniques for high-volume data systems.
• Ensure adherence to data governance, security, and compliance guidelines in the banking industry.
• Continuously monitor and improve the performance of existing data solutions, including troubleshooting and debugging issues.
• Contribute to the integration of new tools and technologies in the data ecosystem to support ongoing projects and innovation.
• Experience in data engineering, with a focus on Hadoop and Apache Spark.

Key skills

• Hadoop, Spark, SQL, ETL, Kafka, Hive, HBase
• Strong experience in SQL, including complex queries, optimization, and performance tuning.
• Experience in the banking or financial services industry is highly preferred.
• Proficiency in data warehousing concepts and hands-on experience with ETL tools.
• Familiarity with distributed systems and large-scale data processing.
• Solid experience with Linux/Unix scripting and working knowledge of shell scripting.
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Knowledge of Kafka, Hive, HBase, or other Big Data tools is an advantage.
• Excellent problem-solving and debugging skills.

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

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

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

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

1. Data Pipeline Construction

• Design, develop, and maintain data pipelines, ensuring a smooth flow of data from multiple sources to data warehouses or lakes.

• Enable, maintain, and support pipelines to provide unified and reliable data sources.

2. Data Architecture Design

• Responsible for designing and maintaining data architecture.

• Use technologies, databases, and storage solutions to handle data efficiently and securely.

3. ETL Processes

• Perform Extract, Transform, Load (ETL) operations: - Extracting data from various sources - Transforming raw data into a structured format - Loading the processed data into storage systems for analysis

4. Data Quality Assurance

• Implement data cleaning and validation processes to enhance data accuracy and consistency.

• Monitor data quality and optimize performance to ensure reliable and usable data for analysts and data scientists.

5. Scalability and Optimization

• Design systems that can handle large volumes of data,

• Ensure scalability of data infrastructure.

• Improve and optimize data storage and retrieval.

6. Data Governance

• Implement data governance and security measures to ensure compliance

• Create, manage, and implement policies, standards, and documentation

7. Data Analytics & Reporting

• Project Management of Data Analytics deliverables

• Create, publish, and admin Power BI reports and dashboards

• Delegate, Manage, and Coordinate with the extended Data Analytics team

Mandatory Skills

1. Programming

• Python

• SQL

• ETL

2. Database Management

• MS SQL Server Environment

• Data integration tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics

3. Power BI Expertise:

• DAX, Power Query, and creating advanced data visualizations.

• Experience in Data Modelling techniques 4. Azure Cloud Environment

• Proficiency in Azure cloud platform, including

• Azure SQL Database, Azure Data Lake Storage

• Azure Analysis Services

• Azure Data Studio

5. Useful experiences

• Machine Learning

• Artificial Intelligence

6. Required Soft Skills

• Problem-solving

• Collaboration

• Communication

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

• Strong programming skills in languages such as Python, Java, or Scala

• Expertise in SQL and experience with both relational and NoSQL databases

• Proficiency in data modeling and database management

• Experience with big data technologies like Hadoop, Spark, and Kafka

• Strong experience in Azure cloud platforms

• Knowledge of data warehousing concepts and technologies

• Experience with ETL tools and processes

• Strong analytical and problem-solving skills

• Excellent communication and collaboration abilities

• 5+ years of relevant experience in data engineering, data analytics or must have been in a similar role

Preferred Skills

• Azure Data Engineer certification

• Azure Data Analytics and PowerBI certifications

• Experience with AI/ML will be advantageous

• Strong experience in data visualization tools and techniques

• Familiarity with agile delivery methodologies

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

RCB No.: 199601303W

Why choose your career with us?

Culture:

We work with vibrant and enthusiastic individuals that constantly seek to outshine the best! We welcome creative and innovative ideas from each and everyone. Team work makes the dream work!

Advancement & growth opportunities:

You’ll have the opportunity to grow and advance! We are part of a larger organization in 7 other countries, theres going to be upward advancements and rewarding opportunities. We provide a platform for you to learn and develop with no experience needed!

Your responsibilities:

- Follow up with leads

- Overcoming challenges and don’t be afraid to make mistakes

- Basic professionalism and communication with customers

- Brainstorm with top performers to executive strategic planning

People we are looking for:

- Solution finders

- Excellent listening skills and communication skills

- Great work ethics and learning attitude

- Team oriented individuals

Apply to stand a chance! Only shortlisted candidates will be notified.

Job Description:

• Collaborate with other developers and engineers to design, build, and maintain applications.
• Develop end-to-end specifications for solution components.
• Perform testing and implementation of the solution.
• Troubleshoot software issues and participate in impact analysis of encountered issues.
• Generate relevant documentations, reports etc.
• Contribute to continuous improvement of software development best practices.
• Keeping up-to-date with industry trends and technology developments.

Requirements:

• Degree in Computing/ Computer Science/ Computer Engineering/ Info Systems / EEE or equivalent
• Entry level candidates with good learning attitude and relevant experience can be considered.
• Familiar to full-stack development and understand concepts of software engineering.
• Knowledge of Agile Development methodology.
• Knowledge of basic coding languages such as C++, Javascript, HTML5 and Java
• Basic programming experience.
• Knowledge of databases (SQL / NoSQL).
• Comfortable using AngularJS, NodeJS, ReactJS and other common frameworks to develop software for various platform.
• Ability to learn new software and technologies quickly.
• Ability to follow instructions and work in a team environment.
• Good team player with critical thinking, analytical and creative problem-solving skills.
• Detail-oriented.
• Candidates with more professional/complexity of experience can be considered for the senior role

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Operation Clerk | Up to $2.7k | Air Operation Officer | Training Provided | Changi

Salary range: $2,300.00 to $2,700.00

Location: Changi
Working Hours: Mon to Fri (9am－5.30pm) | Sat 9am to 1.30pm
Working Days: 5.5days

Job scope:

• Air / Sea Permit & GST declaration
• Submission to CCN
• Booking & Preparation of AWB
• Handling Air / Sea documentation
• Preparation on Job Sheet & Billing
• Othe adhoc duties as required
• Training Provided

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant