Total 3,990 data entry clerk job vacancies in Information Technology category in Singapore

Solid experience of ETL technologies will be an added advantage.

Strong in database SQL and JSON (or XML)

Good at at least 2 out of these 3 domains: data engineering, data science, and data analysis

Experience in big data technologies – Hadoop, Hue, Hive, Spark etc

Experience in data preparation and cleansing process

Experience in Python in predictive modeling, and resourceful in researching new methods to solve problems.

Experience in building relevant data visualization / discovery applications

Knowledge in advanced data technologies like Kafka, H2O, ElasticSearch etc would be an added advantage

Understanding of graph database/knowledge graph technologies will

Knowledge of data security best practices

Implemented or practicing in data governance (data quality, metadata management etc) is advantageous

Ability to visualize from data acquisition process to end results

0-5 years of relevant experience

As a Senior Manager, Technical Solutions, you will be responsible for developing and managing technical solutions in Data Centre Engineering projects from inception to completion, developing pre-sales solutions by coordinating closely with the Commercial team and/or wider KDCH teams, and working with various investment stakeholders to assess feasibility of Pre-deals. You will work with both internal and external stakeholders to ensure that the job responsibilities are completed with a viable technical and budget proposals within time limits. You will coordinate with the Project Management team and provide Project Management inputs and considerations across your job responsibilities. You may be expected to travel for work to support your projects and customers when required.

• To be familiar with the design and construction of Data Centres, and working with knowledge of all technical disciplines, typical customer requirements and standard Basis of Design
• As the Mechanical Specialist of DC&N Technical Solutions team, to be responsible for constant review and update to the Basis of Design
• Execute the technical qualification, planning and development of technical solution for prospective deals as the Technical Solutions Head of Department shall direct. Manage and generate technical solution, project cost and planning structure for prospective deal engagements and investment approval
• Provide project scheduling and construction process assessment for all technical solutions, pre-projects, pre-deals and pre-sales solution, and perform necessary organization and handover documentations to the Project team for delivery, and provide necessary support and follow up where required
• Coordinate and obtain inputs from Technical Solutions, Project Management, Operations, Consultants, Contractors and vendors etc. to develop a viable Technical Solutions, Pre-Sales Solutions or Pre-Deal responses to various relevant stakeholders
• Work with Asset Owners, Sales and Commercial, Asset Management, and Investments Teams to determine the Project budget proposal with adjustments to the Overall Project Budget and Investments Returns, while ensuring coordination with the Project Construction Costs and Design
• Obtain proposals, select, and appoint consultants to develop design and cost estimate. Thereafter, manage selected consultant team for awarded scope of works
• Engagement with Statutory Authorities and Safety Matters
• Support project team to execute projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the inputs provided during the various technical solutions, pre-sales and pre-deal phases of work
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all technical related matters during pre-project and during engineering project execution
• Technical Solutions management and track progress of solutions development and project cost against the approved schedule during pre-project investment approval and design phases
• Technical solutions report including solution development and its corresponding risks and mitigation, compliance to the Customer and/or industry standards, project cost estimation and its corresponding validation and risks, etc. for investment approval
• Technical solutions and Pre-Sales support to project team during project execution
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from pre-project stage, project execution stage and support the project team for timely handover to Client, Asset Owner and Operation team respectively
• Any other scopes as directed by the Technical Solutions Head of Department

Job Requirements

• Master’s or Bachelor’s degree in Mechanical Engineering or equivalent
• Minimum 10 years of professional experience in Data Centre or equivalent design and construction work etc
• Good knowledge of variable design standards, including BICSI, TIA, Uptime Institute Tier Standard, etc
• Ability carry out technical solution discussions effectively with multi-function teams
• Good problem-solving, communication and interpersonal skills with high resilience and drive in achieving objectives and goals. High desire for innovation and learning
• Excellent verbal and written communications skills in English
• Relevant experience in a multi-cultural work environment fostering a climate of teamwork and collaboration

Responsibilities

• Design and develop data ingestion solutions for big data.

• Build efficient and reliable data processing solutions.

• Design and implement data storage solutions.

• Develop scalable data pipelines for ingestion, transformation, and storage of large datasets.

• Optimize data pipelines for real-time and batch processing.

• Ensure data quality and integrity throughout the data pipeline by implementing effective data validation and monitoring strategies.

Requirements

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

• Minimum 1-2 years of designing and implementing ETL solutions

• Familiar with AWS data ingestion and processing tools like FluentBit, Kinesis, and Glue

• Strong expertise in big data technologies such as Apache Spark.

• Experience with AWS data storage solutions including S3, Redshift, Iceberg, Aurora.

• Proficiency in programming languages including Python, Scala, and Java.

• Preferred certification and/or hands-on experience with AWS data services.

Licence No: 12C6060

Bachelor’s degree in information technology, software engineering, computer science, or related field.

Proven experience in engineering and software architecture design.

Previous project management experience is advantageous.

In-depth understanding of coding languages (Java, JavaScript).

Sound knowledge of various operating systems and databases.

Efficient communication skills.

Strong organizational and leadership skills.

Familiar with cyber security / data security aspects of the solutions

Ability to architect on premise and cloud solutions

Preferably having solution architect level certifications from AWS or Microsoft Azure or equivalent

Job Summary:

This position’s responsibilities are twofold:

Overseeing the Club’s IT Operations and Infrastructure to meet reliability, availability and security objectives of the Club, adhering to industry best practices and established operational policies and procedures in an on-prem, hybrid and cloud based environment

Develop Data Analytics strategy (includes building a data warehouse, data collection framework, data governance, etc) in alignment with the Club’s data strategies utilizing machine learning, statistical modelling and data analysis techniques and translate analytical findings into clear, actionable recommendations. The successful candidate will turn data into information, information into insight and insight into business decisions.

Job Responsibilities:

• Strong Knowledge in IT infrastructure (Servers, Networks, Cloud computing) and Data Analytics
• Partner closely with internal stakeholders within the Club to gather and understand their requirements and objectives
• Deliver timely resolutions to system issues and provide technical support for user queries
• Coordinate with vendors to facilitate system changes, upgrades, and resolution of issues
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Optimize data related tasks, conduct regular backups, and implement security measures to safeguard sensitive data
• Ability to interpret data, analyze results using statistical techniques and provide ongoing reports
• Work with Senior Management to prioritize business and information needs
• Locate and define new process improvement opportunities

Job Requirement:

• Degree in Mathematics, Economics, Computer Science, Information Management or Statistics or related
• At least 5 to 8 years proven working experience in IT Infrastructure and Data Analytics
• Technical expertise related to core IT Infrastructure such as Networks, Servers, Cloud, Cybersecurity, data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Excellent communication, motivational, and interpersonal skills
• Project Management experience

PRIMARY RESPONSIBILITIES

• Take a lead role in partnering with our clients to understand their business challenges and develop holistic analytical solutions
• Translate business requirements into quantifiable metrics.
• Design data acquisition strategies and ensure that the datasets we are collecting meet our clients' requirements and follow good governance practices.
• Prepare and integrate client datasets, analyzing data sources for insights.
• Design dashboards and presentations that tell clear stories, create ad hoc reports that deep dive into business opportunities and discovering valuable audiences and segments that contributes significantly to our clients business.
• Propose performance optimizing hypothesis and A/B test recipes across digital platforms to improve customer experience for audiences and segments with statistically confident results.
• Share observations and recommendations with our clients and inspire and educate them to become better in maximising the value their data give them.
• Build processes to effectively create and scale our delivery of data and analytics insights
• Constantly sharpen your skills across the best-in-class data technology stacks that we adopt, new data analysis techniques and be on top of industry trends to deliver effective consultation.
• Acquire required certifications and complete training as per identified by Head of Customer Intelligence
• Mentor and develop junior members of the team
• Contribute to the development of content that builds thought leadership for the company
• An associate analyst role may be offered depending on your experience.

Responsibilities

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 7-10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Licence No: 12C6060

Data Engineer

Job Requirement:

• 1 year of designing and implementing ETL solutions and Real-time Data Stream.
• Experience in Python, Scala, and Java.
• Experience in big data technologies (Apache, Spark).
• Experience in AWS data storage solutions (S3, Redshift, Iceberg, Aurora).
• Preferred certification and/or hands-on experience with AWS data services.
• Design and develop data ingestion solutions for big data.
• Build efficient and reliable data processing solutions.
• Design and implement data storage solutions.
• Develop scalable data pipelines for ingestion,transformation, and storage of large datasets.
• Optimize data pipelines for real-time and batch processing.
• Ensure data quality and integrity throughout the data pipeline by implementing effective data validation and monitoring strategies.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

The client is the world leading semiconductor company from USA. It is ranked as one of the “Top Best Places to Work in Singapore”. Below position is open urgently.

Position: Automation Engineer (6 months Renewable Contract)

Venue: Woodlands

Working Hours: Monday to Friday 8am to 5:30pm

Job Description

A Data Automation Engineer is a specialized role that focuses on developing and deploying software to automate the collection, processing, and management of data.

Responsibilities

• Design, develop and modify programs & reports for functional area like operations, quality, planning and engineering.
• Automate manual tasks to improve efficiency, productivity, and data accuracy.
• Prepare and obtain approval of system and programming documentation.
• Maintain well documented source code in source code management systems like Bitbucket.

Requirements

• Bachelor’s degree in computer science, Engineering, or relevant field
• Basic knowledge of Python and SQL
• Experience in data visualization tools such as PowerBI and Tableau
• Good communication and collaboration skills
• Strong troubleshooting, problem solving and debugging capabilities

Interested candidates, please send your resume to [email protected] with the subject of "Automation Engineer". Thank you.

HR Data Specialist

• Together with the project team, conduct and support comprehensive HR data mapping analysis between existing HR systems and target system
• Collaborate with HR and IT teams to understand data requirements, ensuring accurate and efficient data migration processes
• Lead data transformation efforts with HR teams, ensuring data integrity, onsistency, compliance with organizational and project standards
• Work with the project team to develop and maintain documentation for data mapping, transformation rules and migration processes
• Develop and maintain data migration documentation, including data dictionaries, mapping specifications, and transformation logic.
• Collaborate with IT teams to optimize data extraction, transformation, and loading (ETL) processes for efficiency and performance.
• Establish and implement quality assurance measures to validate data accuracy and completeness post-migration.
• Provide support to HR teams on data transformation procedures

To apply, please email your resume in MS Word format to [email protected] indicating in your CV the following information:

Expected Salary:
Notice Required:
Reason for Leaving:

Only shortlisted candidates will be notified.

Jackie Ng May Ying (R1104602)

Recruit Express Pte Ltd

EA No: 99C4599

Quantexa Data Engineer

About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. Our 506,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

About the function

In order to be a successful Technical Lead at Accenture, you’ll need to be comfortable guiding and mentoring a team of engineers and dealing with both internal and external stakeholders. You will be responsible for a team tasked with managing, transforming and cleansing high volume data, helping our Tier 1 clients solve business problems in the area of fraud, compliance and financial crime. We’re looking for hands-on technical leaders who are comfortable splitting their time between coding and managing the engineering team.

Being Agile is an integral part to the success we have at Accenture and leading regular team sprints and Scrum meetings with your engineering team is essential. You’ll be working closely with Data Scientists, Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our clients expectations and delivering a first-class service.

We want our employees to use the latest and leading open source big-data technology possible. You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. Our primary language is written in Scala, but don’t worry If that’s not currently your strongest language, we make sure that every employees goes through our training academy so they’re comfortable and confident with using our platform.

Key Responsibilities:

• Leading a team and mentoring junior engineers.
• Guiding team members through technical issues and challenges.
• Ensuring that engineers are following best practices and standards.
• Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.
• Write defensive, fault tolerant and efficient code for data processing.
• Automate data processing to enable on-going alerts on high-risk activity.
• Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
• Work very closely with data scientists to ensure efficient and effective delivery of solutions.
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
• Work with our expert software development team to produce reusable applications.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.

Requirements:

• Must have: Quantexa Data Engineer Academy certification.
• Good time management and prioritizations skills to balance engineering, team management and customer facing responsibilities.
• Good communication skills and experience working with different customers, partner organisations and cultures.
• Proven big data experience, either from an implementation or a data science prospective.
• Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
• Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience with MVC frameworks such as AngularJS
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java, or Python.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
• Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).

Why join us?

You will have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Responsibilities:

• Experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform
• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders

As Senior Data Scientist, you are responsible for the successful implementation of Advanced Analytics & AI products and services. Your specific duties include:

• Defining requirements and designing solutions together with business domain experts and architects
• Creating data sets, building machine learning models and AI applications
• Adding new data sources to our Enterprisewide Knowledge Graph; expanding and maintaining graph-based data products
• Conducting quality assurance and AI compliance checks
• Working with data engineers and DevOps engineers to productionalize and roll out analytics/AI products to end users
• Providing end user support and application maintenance

What you bring

• You have a PhD degree in data science, computer science, economics, applied mathematics, statistics, engineering or related field of study
• Experience in building machine learning models
• Demonstrated industry experience applying machine learning & AI to complex business problems
• Experience with semantic graph technology, ontologies and RDF, SPARQL; experience with Stardog is preferred
• Background in the financial services industry is a plus
• Excellent communication and presentation skills, previous experience in a consultative role is a plus
• You are comfortable working in a fast-paced, agile environment

Purpose of the Job

This position sits within the Regional Business Development Department ("RBDD”) based in Singapore in the Global Corporate and Investment Banking, Asia Pacific. We are looking for highly motivated personnel with strong leadership to be able to support Head of Business Intelligence & Analytics and deliver the overall GCIB APAC Analytics Operating Model and Strategy. The Analytics Centre of Excellence (CoE) team reports into the Head of RBDD in Singapore.

This is a key role within GCBDA RBDD. Based on where the best suited candidate is identified, the Company is happy to hire for this role in Singapore or Hong Kong.

Job Description

• Working within the GCIB APAC Analytics CoE, you will leverage huge volumes of Structured and Unstructured data to solve real business problems across the business to increase revenues and deliver a great customer experience, improved productivity and reduce risk.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data.
• Develop predictive and prescriptive models to achieve business and commercial goals.
• Explore and identify patterns, trends, and anomalies in data.
• You will work closely with business to understand their problem statements & apply Data Science and analytics techniques.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with rest of analytics team members and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.
• Support division and department to drive improvement in the process and operational efficiency.
• Promote MUFG and team culture, and foster team collaboration

Job requirements

• Bachelor's degree in Computer Science or Information Technology or Accounting or Finance, or equivalent;
• Minimum 7 years of experience in Banking or consultancy with background in Data and reporting;
• Experience with building and maintaining database for all financial and non- financial information.
• Experience with data management and reconciling data across several sources;
• Keen eye for detail and Intermediate proficiency in MS Office (Project, PowerPoint, Excel), Qlikview, Tableau, Python, Alteryx and SQL;
• Work closely with business analysts to create data components;
• Application packaging and deployment experience across DEV to PROD environments;
• Demonstrated problem solving abilities, especially complex, ambiguous problems requiring integrated application;
• Ability to work under strict timelines and strong communication skills;
• Growth mindset. You seek out learning opportunities for yourself and the team;
• Willingness to problem-solve and hustle to find solutions (even if unconventional), positivity and possess a “can-do” attitude;
• Exceptional analytical skills to understand a diverse array of programs and complex end-to-end workflows;
• High level of resilience.

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

Job ID: 10065235

Team Lead

· Duty roster planning

· Coordination

· Reporting to customer

· Managing daily DC operations

· Reviewing of reports for sign off

Data Centre Operations

· Provide on-site persons to provide for physical needs of environment at the direction of remote management staff (i.e, equipment hard reboot, check light status, change media, check cable)

· Run and Monitor Data Centre (DC) Operations Process

· Call handling related to DC Operations, raise tickets and assigned to Tech Support

· Privileged ID administration

· Cabinet and Rack Keys management

· Backup Operations, Backup Schedule, Recovery Operations

· Visual Checking on the equipment status, perform escort duties for vendor to enter the data center

· Power recycling/hard reboot of the equipment

· Patch point connection verification

· Connect/disconnection of cable

· Connect to a console port on customer equipment, labelling of equipment

Unison Consulting Pte Ltd is seeking a skilled Data Migration Developer who will be responsible for all activities related to detailed design, development, and unit testing of data migration jobs during the implementation project. As a Data Migration Developer, you will utilize Azure Data Factory (ADF) and SQL to design, develop, and implement data migration solutions.

Responsibilities:

• Collaborate with project managers, data architects, and other stakeholders to understand data migration requirements and objectives.
• Create and maintain ETL pipelines to extract, transform, and load data from various sources to target systems.
• Develop SQL scripts, stored procedures, and queries to support data migration and integration tasks.
• Ensure data integrity, accuracy, and consistency throughout the migration process.
• Perform data mapping, data profiling, and data validation to identify and resolve data quality issues.
• Monitor and optimize data migration processes to improve performance and efficiency.
• Document data migration processes, workflows, and technical specifications.
• Provide support and troubleshooting for data migration issues and incidents.
• Stay updated with the latest trends and best practices in data migration, ADF, and SQL technologies.

• Proven experience in data migration projects, specifically using Azure Data Factory (ADF) and SQL.
• Strong proficiency in SQL, including writing complex queries, stored procedures, and functions.
• Experience with ETL tools and data integration techniques.
• Knowledge of data modeling, data mapping, and data profiling.
• Familiarity with cloud platforms, particularly Microsoft Azure.

• Analyze the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues - Track record in implementing systems with high availability, high performance, high security.

• Good understanding and completion of projects using waterfall/Agile methodology.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Strong SQL, data modelling and data analysis skills are a must.

• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.

• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.

• Passion for automation, standardization, and best practices

• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

Only Singaporean or PR need to apply.

Requirements:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
• Proven experience as a Data Analyst or similar role, preferably in IT or public sector.
• Proficiency in SQL other programming languages for data analysis.
• Strong analytical skills with the ability to interpret complex datasets and data modelling.
• Experience with AWS Cloud Services (IAM Access, S3, Glue, Athena) and data visualization tools such as AWS QuickSight, Qlik Sense.
• Preferably with experience with performance testing tools (e.g., JMeter).
• Excellent communication and interpersonal skills, with the ability to present findings to both technical and non-technical audiences.
• Attention to detail and ability to work independently with minimal supervision.
• Familiarity with machine learning techniques and algorithms is a plus.

Responsibilities:

• Analyse, collect, transform, and validate data from multiple sources, ensuring data integrity and accuracy.
• Perform exploratory data analysis to identify trends, patterns, and correlations.
• Develop and maintain dashboards, reports, and visualizations to communicate key insights to stakeholders.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
• Conduct statistical analysis and hypothesis testing to support decision-making processes.
• Automate repetitive data tasks and processes to streamline workflows and improve efficiency.
• Develop, execute and tune performance tests to measure dashboard performance under various loads through queries optimisation, indexing, caching, and data processing.
• Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis.

Your new company

My client is a leading financial planning and insurance leader recruiting a Data Engineer.

Your new role

• Collaborate with regional data stakeholders.
• Develop a data platform to support finance and actuarial functions while implementing suitable data solutions.
• Advance the development of financial analytics systems while automating data processes.
• Save man-hours in data processes and increase the adoption of data solutions.
• Skilled at designing and setting up data engineering systems and integrating different systems.

What you'll need to succeed

• At least 5 years as a Data Engineer in the Finance or Insurance/Actuarial field.
• Expertise in business analysis and MIS Support.
• Expertise in cloud-based data platforms like MS Azure Data Factory.
• Familiarity with SQL or Python.
• Experience of managing and delivering technology projects.
  
  Good to Have:
• Experience with Microsoft Azure Databricks.
• Experience with IBM, Cognos.

What you'll get in return

• Join a globally leading wealth and insurance firm.
• Transparent career ladder.
• High growth environment.

What you need to do now

If you're interested in this role, forward an updated copy of your CV.
Contact Lijie Ong at [email protected].

Hays Reg No.: R22108533, EA License: 07C3924, Company Reg No: 200609504D.

Working location: UE Bizhub West

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

JOB DESCRIPTION

· Collect and gather data from internal and external sources, including databases, spreadsheets, APIs, and other data repositories

· Ensure the accuracy, completeness, and integrity of data by performing data validation, cleansing, and normalization procedures

· Collaborate with stakeholders to define data requirements, objectives, and key performance indicators (KPIs) for analysis

· Analyze large datasets using statistical and data analysis techniques to identify patterns, trends, and correlations

· Design and create reports, dashboards, and data visualizations using data visualization tools

· Prepare and deliver regular reports and presentations to communicate findings, insights, and recommendations to management and cross-functional teams

· Manage and update databases, data warehouses, and data repositories to ensure data accuracy, consistency, and accessibility

· Implement data validation and verification procedures to ensure accuracy

· Ensure compliance with data protection regulations and company policies

JOB REQUIREMENTS

· Minimum Diploma and above

· Strong analytical and problem-solving skills, with the ability to work with complex datasets and derive meaningful insights

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R22109519

EA License Number: 22C1278

Data Centre Operations

· Provide on-site persons to provide for physical needs of environment at the direction of remote management staff (i.e, equipment hard reboot, check light status, change media, check cable)

· Run and Monitor Data Centre (DC) Operations Process

· Call handling related to DC Operations, raise tickets and assigned to Tech Support

· Privileged ID administration

· Cabinet and Rack Keys management

· Backup Operations, Backup Schedule, Recovery Operations

· Visual Checking on the equipment status, perform escort duties for vendor to enter the data center

· Power recycling/hard reboot of the equipment

· Patch point connection verification

· Connect/disconnection of cable

· Connect to a console port on customer equipment, labelling of equipment

Whom We looking For

• Willing to work on 12 hours shift
• L1 & L2 Desktop Engineers are welcome to apply

Responsibilities:

• Support data-mining, structured report tasks and survey data analysis

To apply, please email your resume in MS Word format to govt @recruitexpress.com.sg indicating in your CV the following information:

Expected Salary:
Notice Required:
Reason for Leaving:

Only shortlisted candidates will be notified.

Jackie Ng May Ying (R1104602)

Recruit Express Pte Ltd

EA No: 99C4599

Job Description:

• Enter patient’s information & order laboratory tests into the Laboratory Information System (LIS).
• Recognize & correct inaccurate or missing information on the laboratory requisitions
• Communicate with clients, co-workers & management.
• Perform other duties, e.g. assists with specimens reception, as assigned.

Requirement:

• Min. 'N/O/A' level or Diploma in any field
• No experience required

If interested, please email Ann at [email protected]

Ann Goh Xin Ting
R1875289

Recruit Express Pte Ltd
E.A License: 99C4599

Reporting to the Head, Business Planning & Integration, the candidate will be responsible for extracting, cleaning, and analysing data to provide valuable business insights. This role involves close collaboration with internal stakeholders to understand data needs, visualize data effectively, and where applicable, build interactive dashboards for ongoing analysis. The Data Analyst will play a crucial role in driving data-driven decision-making processes within English/Malay/Tamil Media Newsrooms.

Key responsibilities:

· Work with internal stakeholders to identify data needs and extract relevant data from various sources.

· Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.

· Analyse data using statistical methods to identify trends, patterns, and insights that are relevant to business objectives.

· Collaborate with team members to understand business challenges and provide data-driven solutions.

· Develop and implement data visualisation strategies to clearly communicate findings to stakeholders.

· Utilise data visualisation tools to create intuitive graphs, charts, and other visual representations of data.

· Design and build dashboards that provide real-time insights and support strategic decision-making.

· Ensure dashboards are user-friendly and meet the needs of various stakeholders.

Requirements:

· Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.

· Proven experience as a Data Analyst or in a similar role, with a strong portfolio of projects demonstrating the ability to extract, clean, and analyse data.

· Experience in working with internal stakeholders to understand and fulfil data analysis needs.

· Hands-on experience in visualising data and building dashboards.

· Proficiency in SQL for data extraction and manipulation.

· Knowledge of statistical programming languages such as R or Python.

· Experience with data visualisation tools (e.g., Tableau, Power BI).

· Familiarity with dashboard development tools and techniques.

· Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

· Strong collaboration skills, with an ability to work effectively in a team and with stakeholders from different functional areas.

· Creative problem-solving abilities, with an aptitude for identifying and addressing business challenges through data analysis.

Reporting to the Head, Business Planning & Integration, the candidate will be responsible for extracting, cleaning, and analysing data to provide valuable business insights. This role involves close collaboration with internal stakeholders to understand data needs, visualize data effectively, and where applicable, build interactive dashboards for ongoing analysis. The Data Analyst will play a crucial role in driving data-driven decision-making processes within English/Malay/Tamil Media Newsrooms.

Key responsibilities:

· Work with internal stakeholders to identify data needs and extract relevant data from various sources.

· Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.

· Analyse data using statistical methods to identify trends, patterns, and insights that are relevant to business objectives.

· Collaborate with team members to understand business challenges and provide data-driven solutions.

· Develop and implement data visualisation strategies to clearly communicate findings to stakeholders.

· Utilise data visualisation tools to create intuitive graphs, charts, and other visual representations of data.

· Design and build dashboards that provide real-time insights and support strategic decision-making.

· Ensure dashboards are user-friendly and meet the needs of various stakeholders.

Requirements:

· Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.

· Proven experience as a Data Analyst or in a similar role, with a strong portfolio of projects demonstrating the ability to extract, clean, and analyse data.

· Experience in working with internal stakeholders to understand and fulfil data analysis needs.

· Hands-on experience in visualising data and building dashboards.

· Proficiency in SQL for data extraction and manipulation.

· Knowledge of statistical programming languages such as R or Python.

· Experience with data visualisation tools (e.g., Tableau, Power BI).

· Familiarity with dashboard development tools and techniques.

· Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

· Strong collaboration skills, with an ability to work effectively in a team and with stakeholders from different functional areas.

· Creative problem-solving abilities, with an aptitude for identifying and addressing business challenges through data analysis.