Total 3,992 data entry clerk job vacancies in Information Technology category in Singapore

Our client is looking for a productive, detail-oriented person to work as a temporary data entry clerk in our team. This position's major duty will be to maintain and enter data into our database system appropriately. Strong attention to detail, impeccable typing abilities, and the capacity to work quickly to meet deadlines are qualities that the ideal candidate will possess.

Responsibilities:

• Entering and maintaining data in the database system of the business.
• Checking the accuracy of the data entered and making any required adjustments.
• Keeping electronic documents and data organised.
• Assisting with initiatives involving data organisation and cleansing.
• Observing the policies and procedures of the company regarding data entry and confidentiality.
• Ensuring accurate and timely task completion by means of excellent team communication.

Requirements:

• At least GCE ‘O’ Level qualification is needed.
• Proven experience with data entry and basic computer skills.
• Proficiency in typing and data entry with minimal errors.
• Strong attention to detail and accuracy.
• Ability to work independently and prioritize tasks effectively.
• Excellent communication skills.
• Experience with Microsoft Office suite (Excel, Word, Outlook) is preferred.
• Previous experience with database software is a plus.

Additional Information:

• Walking distance from Marine Parade MRT
• $12/hr + CPF

Interested candidates are invited to send in your Resume in MS Word Format* stating your past work experience, reasons for each leave, past and expected remuneration.

We regret to inform that only shortlisted candidates will be notified.

By submitting an application to us, you will be deemed to have agreed for us to collect, use, and disclose your personal data which you have submitted to your prospective employers, for the purpose of job search, and/or other services which you have consented us to perform on your behalf.

EA License Number: 19C9782

EA Personnel: R1346341

Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities:

• Lead corporate sustainability goals, guiding decision-making aligned with financial and sustainability objectives.
• Implement efficient reporting systems to meet key performance indicators.
• Oversee sustainability communications and continual development of educational resources.
• Manage documentation and quarterly policy reviews on sustainability
• Manage corporate sustainability goals and metrics, conducting audits to generate reports.
• Direct effective estate and facilities management, monitor vendors, renovation planning, and stakeholder engagement in space management and projects.

Requirements:

• Minimum 5 years of relevant experience in estate management and sustainability.
• Familiar with BCA Green Mark, SS564 Green Data Centre, ISO14001 Environment Management System.

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Interested Applicants
Please WA Bryan Tay @ 97559161
Shortlisted Candidates will be notified

Bryan Tay Reg No. R23112463
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Contract: 1 year

Location: Redhill

Responsibilities

• Collecting and analysing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements

• Degree
• Good analytical skills
• Proficient in Excel and SPSS is preferred
• Prior experience with data analysis and/or conducting qualitative analysis will be advantageous

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore 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.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

About the Company
Sizable and established hospitality, tourism and entertainment group. With upcoming expansion of business and increasing footprint in Singapore, the company is looking to grow its technology capabilities.

Overview
The Director, Data Centre will be responsible for the end-to-end management of a new data centre project, encompassing everything from initial design and planning to full operational implementation. This role requires a visionary leader with extensive experience in data centre architecture, construction, and operation. The ideal candidate will have a proven track record of successfully delivering large-scale data centre projects, exceptional leadership skills, and a deep understanding of the latest technologies and industry best practices.

Responsibilities:

• Reporting directly to the Group CIO, you will be the Head of Data Center
• Lead the design and implementation of new data centers from scratch.
• Oversee the entire lifecycle of data center projects from planning to execution.
• Ensure data centers are designed for optimal performance, efficiency, and scalability.
• Manage budgets, timelines, and resources for data center projects.
• Collaborate with stakeholders to align data center initiatives with business needs.
• Maintain high standards of data center operations, security, and compliance.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Minimum of 10 years of experience in data centre management, with at least 5 years in a senior leadership role.
• Proven experience in designing, building, and managing large-scale data centres from scratch.
• Strong knowledge of data centre infrastructure components, including power, cooling, networking, and security systems.
• Excellent project management skills with a track record of delivering complex projects on time and within budget.
• Strong leadership and team management skills, with the ability to motivate and develop a high-performing team.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels.
• Certification in project management (PMP, PRINCE2) or data centre management (CDCP, CDCS) is a plus.

Apply:
If you are interested in the above job or other IT leadership positions, please kindly send your CV to Shannagh Wu at [email protected]

Reg No.R23112660
BeathChapman Pte Ltd
Licence no. 16S8112

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Diploma/Degree in Electrical/Mechanical Engineering with background in Sustainability
• Knowledge of Local & International standards such as BCA Green Mark for Data Centre and Buildings, SS564 Green Data Centre, ISO 14001 Environment Management System
• Experience in a related field preferred.

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https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Bryan Tay @ 97559161
Shortlisted Candidates will be notified

Bryan Tay Reg No. R23112463
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Oversee building and data centre facilities components, including Building Management System, Fire Detection and Protection systems, Energy Management System, Chiller, Electrical
• Conduct troubleshooting and maintenance of facility equipment
• Manage contracts for facilities and equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Responds to emergency and be on 24x7 standby
• Oversee new data centre projects including renovation and maintenance
• Responsible for site inspections / audits by authorities
• Scheduling and tracking of servicing jobs and vendor management

Requirements

• Educational qualification in Electrical / Mechanical Engineering or equivalent
• At least 1 – 2 years’ relevant experience in DC facility management and vendor management

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg


Interested Applicants
Please WA Bryan Tay @ 97559161
Shortlisted Candidates will be notified

Bryan Tay Reg No. R23112463
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

This role is required to visit vendors/retailers/outlets as per instructions already provided and to count stocks on shelves and within outlets’ warehouse, as well as obtain accurate purchases of all the brands included in the covered product categories.

Collect periodic market research information in the retail channel (neighborhood stores, minimarket, supermarkets, pharmacies, etc.) through an electronic device that allows accurate and truthful information to be obtained, complying with the policies and standards of quality required.

• Visit points of sales and retail outlets as set on his/her given schedule within defined timelines
• Collect data/information in compliance with Global and/ or Regional SOP standards
• Work towards the timely delivery of data as required and per set deadlines
• Communicate timely changes of visit plan to QCT Executive or COE
• Inform QCT Executive of any potential cooperation issues (ownership change, renovation, refusal of cooperation etc.)
• Always works with integrity and accuracy on data delivery and ensuring compliance with confidentiality standards (Panel Security)
• Work towards continuously building and improving the relationship with the shopkeeper
• Maintain proper administrative records as required
• Collect data/information as per instructing in our Monthly Auditor's trip instruction (e.q. adhoc project, initiative moving from cash dealer fee to non-cash dealer fee, etc.)

This role is required to visit vendors/retailers/outlets as per instructions already provided and to count stocks on shelves and within outlets’ warehouse, as well as obtain accurate purchases of all the brands included in the covered product categories.

Collect periodic market research information in the retail channel (neighborhood stores, minimarket, supermarkets, pharmacies, etc.) through an electronic device that allows accurate and truthful information to be obtained, complying with the policies and standards of quality required.

• Visit points of sales and retail outlets as set on his/her given schedule within defined timelines
• Collect data/information in compliance with Global and/ or Regional SOP standards
• Work towards the timely delivery of data as required and per set deadlines
• Communicate timely changes of visit plan to QCT Executive or COE
• Inform QCT Executive of any potential cooperation issues (ownership change, renovation, refusal of cooperation etc.)
• Always works with integrity and accuracy on data delivery and ensuring compliance with confidentiality standards (Panel Security)
• Work towards continuously building and improving the relationship with the shopkeeper
• Maintain proper administrative records as required
• Collect data/information as per instructing in our Monthly Auditor's trip instruction (e.q. adhoc project, initiative moving from cash dealer fee to non-cash dealer fee, etc.)

Project Overview: This project focuses on establishing a comprehensive data analysis process to convert raw data from various sources into actionable insights, aiding informed decision-making across the organization.

Key Responsibilities:

• Data Collection: Gather data from multiple sources, ensuring accuracy and reliability.
• Data Preparation: Clean, preprocess, and transform raw data into usable formats, addressing any missing or inconsistent data.
• Data Analysis: Apply statistical methods and analytical techniques to interpret complex data sets.
• Data Visualization: Create visualizations, charts, and graphs to present data findings in an understandable manner.
• Database Management: Manage databases to ensure data integrity and write queries for efficient data extraction.
• Reporting: Generate regular and ad-hoc reports to communicate insights and findings to stakeholders.

Deliverables:

• Establish a well-defined data analysis framework.
• Enable the organization to leverage data for informed decision-making.
• Optimize processes through data-driven insights.
• Achieve strategic objectives by providing actionable data insights.
• Bachelor's Degree in relevant field with 5 years of relevant experience.

Role: Data Engineer

Job level: More than 10 years of relevant experience (L4)

Key skills:

AS400, Hadoop, Data Lake, SQL, Informatica

Key Responsibilities:

· Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

· Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

· Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third-party tools), BMC monitoring tools

· Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

· It will be good to have experience in working with No SQL as well as virtualized Database Environment

· Implement data transformations, aggregations, and computations using Spark RDDs, Data Frames, and Datasets, and integrate them with Elasticsearch

· Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

· Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

· Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

· Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

· Flexibility to stretch and take challenges

· Communication & Interpersonal skills

· Attitude to learn and execute

Key Requirements:

• 7+ years of AS400, RPG, CLP & SQL

• Knowledge of Aldon Change Management System(ACMS) is a must·

• Experience in developing Hadoop

• Experience in data lake (integration of different data sources into the data lake)

• SQL Stored Procedures/Queries/Functions

• Unix Scripting

• Experience with distributed computing, parallel processing, and working with large datasets

• Familiarity with big data technologies such as Hadoop, Hive, and HDFS

• Job Scheduling in Control-M

• Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

• Familiarity with version control systems (e.g., Git) and collaborative development workflows

• Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams.

Cloudera Data Platform Engineer

This is a 12 months contract assigned to our client

Work Location: To be confirmed (during the interview)

Salary Range : $7,000-$8,500

Job Description

1. Perform operation, installation, and monitoring of big data platforms

2. Ensure the reliability and normal operation of multiple core systems for big data and

online computing, resolving issues within the agreed SLA

3. Evaluate infrastructure requirements for deployments and upgrade activities

4. Develop and maintain technical documentations related to design, configuration, troubleshooting,

backup, DR, etc

5. Ensures deployment and operations of the data platform comply with prevailing regulations and

audit requirements

6. Provide recommendations on data governance practices and in-depth optimizations best practices

Skillsets

1. Minimally 4 years of experience in Data Engineering

2. Solid computer software basic knowledge; understand Linux operating system, storage, network IO

and other related principles

3. Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible

4. Extensive experience with Cloudera Data Platform and its runtime components

5. Relevant computing/distributed/big data system experience

(Hadoop/HDFS/Nginx/Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.)

6. Good data structure and system design skills highly preferred

7. Good knowledge of information security highly preferred

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company.

- Build an effective toolchain to improve development performance;

- Introduce new AI technologies to our online system, support billions of users all over the world;

- Improve the reliability of the system, manage the challenges of scale and complexity;

- Squeeze extreme performance from hardware and handle huge amount of requests;

- Research, design, and develop computer and network software or specialised utility programs;

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis;

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures;

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements;

Qualifications

- Bachelor's degree or above, majoring in Computer Science, Engineering or related fields.

- Strong programming and coding experience with at least one modern language such as C/C++, Golang, Python

- Experience contributing to the large scale distributed systems, multi-tenant systems (architecture, reliability and scaling)

- Strong analytical abilities and problem solving

- Good communication, self-motivation, engineering practice, documentation, etc.

- At least 1 year of relevant experience.

Preferred Qualifications

- Familiar with large-scale distributed systems like Spark and Elasticsearch;

- Familiar with the web technologies, such as Django / Flask / React.JS etc.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Working Location: Central

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

Your role:

• Oversee and manage various programs within the company, ensuring smooth execution and adherence to goals
• Create and monitor program budgets, ensuring spending aligns with allocated resources
• Analyze program data, identify areas for improvement, and recommend adjustments as needed
• Plan and attend collaboration meetings to track project progress and ensure timely completion
• Demonstrate outstanding written and verbal communication skills to interact with stakeholders and teams

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Position Type: Contract deputed to Client

Required skills

• Minimum 4 years of experience in Data Engineering
• Experience in Cloudera Data Platform
• Experience in computing, distributed, big data systems: Hadoop, HDFS, Nginx, Kubernetes, Docker, OpenStack, Spark, Flink
• Understands Linux operating system, storage, network IO and other related principle
• Good data structure and system design skills highly preferred
• Familiar with at least 1 or more programming languages, such as Python/Go/Java/Shell/Ansible

Responsibilities

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR
• Ensures deployment and operations of the data platform comply with prevailing regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Almira | Recruitment Consultant

Email: [email protected]| Office Telephone: +65 64299403

EA Personnel Registration Number: R22111126

Singapore Employment Agency Licence No: 11C3373

Responsibilities

• Perform operation, installation, and monitoring of big data platforms

• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA

• Evaluate infrastructure requirements for deployments and upgrade activities

• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc

• Ensures deployment and operations of the data platform comply with prevailing regulations and audit requirements

• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements

• Degree / Diploma in Computer Science or related

• Minimally 4 years of experience in Data Engineering

• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible

• Extensive experience with Cloudera Data Platform and its runtime components

• Relevant computing/distributed/big data system experience (Hadoop/HDFS/Nginx/Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.)

• Good data structure and system design skills highly preferred

• Good knowledge of information security highly preferred

Licence No: 12C6060

Zenith Infotech (S) is a Tech Recruitmetn firm with 27 years of experiene in Singapore and more than 15 years in Malaysia.

We are now assiting one of our Enterprise client to look out for Data Modeler wtih proficency in Data Engineering.

Scope Of Work:

1. Architectural Design and Strategy: Develop and maintain an enterprise-wide data architecture strategy, ensuring alignment with the business's long-term goals and objectives. Create scalable, efficient, and flexible data models that support the organization's data needs.

2. Data Governance and Management: Establish and enforce data governance policies and procedures.

3. Data Integration and ETL: Design and implement data integration strategies and ETL (Extract, Transform, Load) processes. Ensure seamless data flow across various systems and platforms.

4. Stakeholder Communication: Regularly communicate with stakeholders to understand their data needs and translate these requirements into technical specifications.

Must have –

Telco Data Modeling,

Data Architecture

Good to have - Azure, Databricks

About Us

Real Estate Analytics is fast growing Singaporean property technology startup with international ambition whose mission is to research, develop and implement the next generation real estate modelling and analytics tools for global markets.

Overview:

We are seeking a meticulous and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for various data-related tasks including data cleaning, data sourcing, image annotation, and data extraction. This role requires strong SQL skills, exceptional attention to detail, and a keen motivation to learn.

Responsibilities:

• Assist the internal stakeholders to understand research needs to commission structured research project
• Perform data cleaning & logic enhancement tasks as and when required to ensure data accuracy, consistency, and completeness
• Source and collect data from various online and offline sources according to project requirements
• Extract relevant data from databases, websites, documents, and other sources using appropriate tools and techniques
• Conduct image annotation tasks to label and categorize images for machine learning purpose
• Providing ad-hoc data visualization and analysis support across for the designated product

Requirements:

• Strong academic background with degree in Computing, Science, Engineering, or other quantitative discipline
• Minimum 2 years of relevant experience. Good understanding of the real estate industry and terminologies in Singapore and Hong Kong is a plus
• Strong SQL knowledge (redshift and postgres) for advanced data manipulation and joins
• Proficiency in Python for data analysis, scripting, and automation tasks
• Exceptional attention to detail with the ability to identify and rectify errors in large datasets
• Driven and passionate about research and motivated with strong work ethic

On behalf of our client we are looking for Data Modeler to work one on one basis on various tasks.

Job role:

1. Architectural Design and Strategy: Develop and maintain an enterprise-wide data architecture strategy, ensuring alignment with the business's long-term goals and objectives. Create scalable, efficient, and flexible data models that support the organization's data needs.
2. Data Governance and Management: Establish and enforce data governance policies and procedures.
3. Data Integration and ETL: Design and implement data integration strategies and ETL (Extract, Transform, Load) processes. Ensure seamless data flow across various systems and platforms.
4. Stakeholder Communication: Regularly communicate with stakeholders to understand their data needs and translate these requirements into technical specifications.

Skills:

Must have: Telco Data Modeling, Data Architecture

Good to have: Azure, Databricks

Kindly be informed that only shortlisted candidates will be contacted.

Gomes Divya.

P: +65 6631 8505 (Ext 405)

EA License no: 19C9769

E: [email protected]

Personnel Registration no: R22108982

1. Architectural Design and Strategy: Develop and maintain an enterprise-wide data architecture strategy, ensuring alignment with the business's long-term goals and objectives. Create scalable, efficient, and flexible data models that support the organization's data needs.
2. Data Governance and Management: Establish and enforce data governance policies and procedures.
3. Data Integration and ETL: Design and implement data integration strategies and ETL (Extract, Transform, Load) processes. Ensure seamless data flow across various systems and platforms.
4. Stakeholder Communication: Regularly communicate with stakeholders to understand their data needs and translate these requirements into technical specifications.

Responsibilities:

• Work with stakeholders including customers, partners and colleagues 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.

Technical Knowledge/Skills/Competencies:

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

1. Architectural Design and Strategy: Develop and maintain an enterprise-wide data architecture strategy, ensuring alignment with the business's long-term goals and objectives. Create scalable, efficient, and flexible data models that support the organization's data needs.
2. Data Governance and Management: Establish and enforce data governance policies and procedures.
3. Data Integration and ETL: Design and implement data integration strategies and ETL (Extract, Transform, Load) processes. Ensure seamless data flow across various systems and platforms.
4. Stakeholder Communication: Regularly communicate with stakeholders to understand their data needs and translate these requirements into technical specifications.

• Architectural Design and Strategy: Develop and maintain an enterprise-wide data architecture strategy, ensuring alignment with the businesss long-term goals and objectives.
• Create scalable, efficient, and flexible data models that support the organizations data needs.
• Data Governance and Management: Establish and enforce data governance policies and procedures.
• Data Integration and ETL: Design and implement data integration strategies and ETL (Extract, Transform, Load) processes. Ensure seamless data flow across various systems and platforms.
• Stakeholder Communication: Regularly communicate with stakeholders to understand their data needs and translate these requirements into technical specifications.

EA License No: 11C4879 / Registration ID : R1218583

Apar Technologies Pte Ltd, Singapore

We are looking for a skilled Data Engineer with a strong background in Python, PySpark, Spark, and SQL. The ideal candidate will have experience in building and optimizing data pipelines and architectures. This role requires a collaborative professional who can work across teams to design and implement robust data solutions.

Key Responsibilities:

• Design, build, and maintain efficient, scalable, and reliable data pipelines using Python, PySpark, Spark, and SQL.
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver appropriate data solutions.
• Develop and optimize ETL (Extract, Transform, Load) processes to ensure data quality and integrity.
• Implement data processing workflows for batch and real-time data integration.
• Monitor and troubleshoot data pipelines, ensuring data accuracy and availability.
• Perform data exploration and analysis to support business decisions.
• Document data processes, architectures, and workflows.

Proven 4+Years of experience as a Data Engineer or in a similar role.

Strong proficiency in Python and PySpark for data manipulation and transformation.

Hands-on experience with Apache Spark for large-scale data processing.

Advanced SQL skills for data querying, transformation, and performance tuning.

Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their data services.

Experience with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake).

Knowledge of best practices for data architecture and data governance.

• Opportunity to join a well-establised quasi-government company in Singapore
• Opportunity to work on large-scale migration project

About Our Client

Our client, a smart-nation institution which focuses in cutting-edge tech like AI and IoT to improve community life. They work with governments and stakeholders to develop innovative solutions, enhancing infrastructure and services for smarter cities, sustainable energy, and healthcare.

Job Description

As a Lead Data Architect, you are responsible for:

• Design the evolution of the current data platform.
• Build and document optimal data pipeline architecture and infrastructure.
• Define and champion data platform direction, framework, architecture, standards, and guidelines.
• Stay updated on emerging technologies and trends to drive innovation.
• Create, manage, and document data pipelines, ensuring alignment with business needs.
• Supervise data model and database design for operational and analytical systems.
• Lead and mentor teams, fostering innovation, collaboration, and excellence.
• Develop strategies to enhance team performance and productivity.
• Ensure timely, high-quality delivery of data platforms.
• Oversee end-to-end data platform solutions to meet university needs.
• Integrate new technologies into the university's data infrastructure.
• Provide technical guidance to solve complex challenges.Implement quality control and testing procedures.
• Ensure data platforms comply with regulatory and compliance requirements.

The Successful Applicant

The ideal candidate will have strong experience in end-to-end development of data lakes and data warehouses, preferably with Informatica, as well as extensive experience with Azure cloud, specifically Azure Fabric including Data Factory, Data Engineering, OneLake (Data Lake Storage), and Data Warehouse. Additionally, they should have robust data modeling and database design experience for both transactional and analytical systems, along with strong proficiency in MS SQL and Oracle, including querying, tuning large, complex data sets, and performance analysis.

What's on Offer

• Opportunities for continuous learning and skill development
• Job stability & work-life balance

Contact

Wilson Tay (Lic No: R2091205/ EA no:18S9099)

Quote job ref

JN-052024-6433631

Phone number

+65 6416 9838

Michael Page International Pte Ltd | Registration No. 199804751N

Fresh graduates Welcome

Our client's Singapore Team and become a key player in the world of financial data to our client. We are looking for a Financial Data Quality Analyst who will be responsible for ensuring data integrity and accuracy, particularly in the realm of Exchange Traded Funds (ETFs) and major Indices.

In this role, you will work closely with clients and vendors to streamline data normalization, handle corporate events, and enhance the client experience. If you're passionate about financial markets and have the skills to dive into data with an analytical mindset, we want to hear from you.

Day To Day Responsibilities:

• Monitor and enhance the quality of captured data for regional ETFs and major Indices to optimize the client experience.
• Analyze corporate actions and ensure the accurate application of relevant data to ETFs and Indices for client consumption.
• Provide real-time support for over 700 Portfolio Composition Files (PCFs) of ETFs, ensuring timely delivery before the European market opens.
• Conduct thorough data quality checks across client-facing platforms, performing sanity and validation checks.
• Address and troubleshoot client queries related to PCFs and major index-related issues, utilizing in-depth knowledge of workflows and calculations.
• Collaborate with the team or work independently to propose enhancements to data normalization and aggregation processes, continuously improving the quality of data delivered to clients.
• Demonstrate an entrepreneurial spirit by problem-solving, setting up, and streamlining internal operational processes using VBA, Python, and SQL.

Skills Need as

Qualifications and Experience:

• A Bachelor’s Degree from a recognized institution, with preference given to degrees in Finance, Accounting, Economics, or Engineering.
• Fresh graduates to 5 years of relevant experience.
• ETF knowledge or foundation (financial markets knowledge or foundation)
• A banking background (or undergraduate courses/internships in the banking or finance sector)
• Experience in data roles within financial services
• Proficiency in MS Excel is a MUST ; proficiency in VBA, Python, and SQL is advantageous.
• Proactiveness, a strong willingness to learn, and excellent time management skills.
• A positive attitude with Excellent communication skills
• Particularly passionate about ETFs (or an interest in understanding and working in the ETF & Index space)
• Ability to thrive in an entrepreneurial, fast-paced, and team-oriented environment.
• Excellent verbal and written communication skills, agile critical thinking, and a problem-solving demeanor, with acute attention to detail.

If you are enthusiastic about ensuring data accuracy, thrive in a fast-paced environment, and are passionate about maintaining high-quality standards in the financial sector, we invite you to apply and become part of our dynamic team.

Please contact [email protected] for more information

Business Registration Number : 200611680D | Licence Number : 10C5117 | EA Registration Number : R1768258