Total 4,012 data entry job vacancies in Information Technology category in Singapore

Job description :-

The Senior MS SQL DBA will be administrating MS SQL SERVERS including DB maintenance, technical guidance, and security in coordination with the Technology Infrastructure team. The overall objective is to use MS SQL knowledge to provide L3 DBA support for CTI/GFT apps using MS SQL Server.

Responsibilities:

• Serve as a technical expert on executive-level project teams providing technical direction, interpretation and alternatives

• Improve Problem Management and Stability within MS SQL environments

• Willingness to work in a high-volume environment

• Effectively collaborate with architecture, application development, requirements group, QA, testing and PMO teams

• Work with Audit/Compliance teams to install and maintain MS SQL security updates and patches

• Manage trouble and request queues ensuring timely resolution

• Provide expert support, analysis and research into exceptionally complex problems

• Assist with analysis, evaluation and preparation of recommendations for system improvements, optimization, development, and/or maintenance efforts

• Monitor status of critical system services for performance and server health

• Develop mutually beneficial working relationships with customers.

• Review, improve and approve technical work, to guide others, and to teach.

• Provide production support for MS SQL database systems independently.

• Provide COB support for MS SQL database systems.

• Identify tuning opportunities, implement improvements and advise developers on SQL tuning options.

• Install, Patch and upgrade MS SQL servers.

• Be capable of working independently as well as operating in a team environment, with a willingness to follow pre-defined IT policies and standards. Ability to understand clients needs and suggest solutions to address the clients requirements

Project Description:Hiring to create the future ready Data & Analytics professional!
Luxoft, a DXC Technology Company has embarked upon an extensive multi-year program to hire and upskill professionals and engage them in projects involving cutting edge data & analytics solutions for our extensive global clientele.
If you wish to progress your career into next gen data engineering, visualization, and advanced analytics solutions this opportunity is for you. We seek highly energetic Fresh Professionals with 0 to 3 years or Mid-Career Professionals with more than 3 years of experience having fundamental programming skills, analytical thinking, data concepts and a great passion to learn. Prior extensive experience in data & analytics projects is not mandatory but a definite plus.
Applicants need to be Singapore citizens.
This engagement shall involve an extensive 12 months training program (for Fresh Professionals) and 6 months training program (for Mid-Career Professionals) well interlaced with embedded on the job training in live internal or client projects. Post completion of training the candidate shall be certified as a "Data Warehouse & Big Data Professional" ready to be immediately deployed into client projects

Training details
In the course of this engagement candidates shall be trained on a variety of cutting edge data & analytics technologies such as:
1. Data modelling using different schema patterns such as Star/Snowflake/DataVault in Data Warehouse or Data Mining
2. Python programming
3. Hadoop architecture & HDFS storage platforms
4. Tools like Sqoop for Ingestion of data from source systems to HDFS
5. Apache Kafka architecture to create topics and partitions
6. ETL job development, monitoring & optimization using Hive script & Impala
7. Spark programming - Spark SQL, Spark Streaming
8. Data pipeline setup, analysis, insights & analytics using end to end data solutioning platforms such as Cloudera leveraging cloud infrastructure on AWS or Azure
9. Data quality, governance & security technologies

Training program shall also include other topics such as:
1. Communication management
2. Stakeholder management
3. Change management
4. Creative & computational thinking
5. Business analysis

Possible Roles post training period:
1. Data engineer
2. Data architect
3. Data visualization & analytics expert
4. Advanced data analytics expert
5. AI/ML expert

Responsibilities:

• Demonstrate passion to learn cutting edge big data technologies
• Consistently participate in the training sessions and learning programs
• Actively engage and apply learnings into live internal or client projects during course of the training

Mandatory Skills Description:

• A good degree, postgraduate or Diploma qualification in IT Engineering
• Fresh Professionals (0-3 years of work experience) or Mid-Career Professionals (3+ years of work experience) in IT, along with good knowledge in data structures, SQL and Java OR Python
• Analytical and problem-solving skills
• Strong written and spoken communication skills and interpersonal skills

Nice-to-Have Skills:

• Fundamental understanding of Big Data concepts (academic trainings or certifications)
• Experience in financial services domain

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office, and Excel.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

Job Overview:​

We are seeking a highly skilled and motivated Data Analyst/Data Scientist to join our dynamic team. The ideal candidate will be passionate about turning data into actionable insights and have a proven track record of using data to drive growth and efficiency. ​

Key Responsibilities:​

• Design, develop, and maintain Power BI dashboards and reports that consolidate data from various sources
• Gather business requirements from end-users and translate them into technical specifications to build robust, scalable, and high-performance BI solutions
• Perform statistical analysis and use machine learning techniques to build predictive models.
• Communicate findings and insights to stakeholders using visualization tools and presentations

Requirements:​

• Bachelor's/Master’s degree in Computer Science, Mathematics, Economics, Statistics, or a related field
• Proven experience as a Power BI Developer or similar role
• Strong understanding of BI technologies and experience in data analysis and reporting
• Strong knowledge of and experience with databases (SQL, etc.), programming (e.g., Python, R), and ETL frameworks
• Experience with common data science toolkits, such as Pandas, NumPy, Matplotlib, Scikit-learn; experience with TensorFlow or PyTorch is a plus
• Excellent written and verbal communication skills

• Creating complex, enterprise-transforming applications on diverse, high energy teams • Working with the latest tools and techniques • Hands-on coding, usually in a pair programming environment • Working in highly collaborative teams and building quality code • The candidate must exhibit a good understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation. • The candidate must have a good understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models

Responsibilities:

• Overseeing data projects, operations and initiatives regionally in both Commercial and Medical areas
• Overseeing analytics operations in the region in alignment with global data operations/engineering teams
• To be able to support and partner in country data operations and engineering leads, specifically China, Japan & Canada
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• Lead/participate technical discussion forums with global, regional and country counterparts
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work
• Oversee region data security and compliance
• Manage relationships with Technology heads from each countries, including business and commercial teams and global support teams

Requirements:

• Bachelor Computer Science / Computer Engineering, or equivalent experience.
• At least 10 years of established experience in a relevant technology role, especially in data management and data tools build capability (MSFT Power Platform)
• Knowledge in commercial operations/excellence, field force effectiveness
• Knowledge of AI/ML, Gen AI
• Strong stakeholder’s engagement and management skills are important to work across all cross functional teams
• Clear and influential communication skills with the ability to work effectively with both internal and external stakeholders.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24078

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

The Opportunity

• Adecco is partnering with one of the most well-established and respected financial institution with a strong track record of success.
• They have a culture of innovation and continuous improvement, constantly looking for ways to improve their services and offerings.

Job Responsibilities

Inside the team, the successful candidate will:

• Will work 50% on Data Archival & Masking topic remaining 50% on Java related technologies
• Implement Archival & Data Masking solution defined by Product Expert
• Prepare and maintain technical documentations and software deliverables
• Knowledge on java development is preferred
• Execution of Morning checks on existing Archiving & Data masking processes on production
• L3 support for Data Archival & Data masking and Other Java projects

Job Qualification

• The position requires 4+ years relevant experience in developing Archiving & Data Masking solutions.

Mandatory

• 4+ years experience in SQL for various Database engines ( SQL Server, Oracle, Sybase, and preferably DB2 )
• Understanding of database architectures, data relationship integrity, database administration, test data management, and the normalization of data elements
• Willingness to work on Java applications as well
• Experience with IBM's Optim products for Archiving & Data Masking is preferred (if not willingness to learn IBM Optim is must - on job training will be provided)
• Willingness to work with IDP USignOn product is must (on job training will be provided)

Nice to Have

• Experience in development of Java application

Other Professional Skills and Mind-set

• Ability and willingness to learn and adopt new technologies
• Strong organizational and communication skills
• Strong analytical and problem solving skills
• Awareness of various software development procedures
• Ability to follow defined procedures
• Understanding and respect of cultural diversity

Next Step

Click “apply” or send resume to: Tamanna Bilandi [email protected]

EA Licence No.91C2918 | Personnel Registration No. R2096241

Main responsibilities

• Able to lead in terms of technology and conceptualize, propose design and architectural evolution.
• Contributing to development of high quality fully tested source code complying with deadlines, schedule and coding standards.
• Liaise with business analysts for clarification and understanding of requirements.
• Organize and keep up to date detailed technical documentation
• Develop tests strategy in coordination with project manager / Business Analysts
• Provide technical assistance during user acceptance test
• Support applications in production - analyze and resolve issues as they arise as well as propose optimizations for future.

Qualifications and Profile

The successful candidate will definitely have:

• At least 6 years of software development experience
• At least 5 years’ experience working with Java.
• Strong knowledge on various design patterns
• A strong understanding of recent Java language features, such as lambdas, streams, and futures
• Good knowledge of algorithms and data structures, with strong fundamentals in complexity analysis
• Strong ability to analyze code – understand execution flow & debug even without access to a debugger
• Experience with Maven, Git, writing and maintaining integration tests
• Strong familiarity with Linux and bash
• Good knowledge of SQL or an SQL-inspired dialect such as HQL
• Experience in cloud native architecture.

An ideal candidate will also have expertise in some or all of the following:

• Jenkins and Ansible with exposure to devops culture
• Jira or a similar issue-tracking system
• The Spring framework and IoC, and particularly Spring Boot and Swagger for restful web services
• Messaging technology such as kafka, MQ

Additionally, knowledge of the following would be helpful although it is not required:

• Web development fundamentals (HTML, Javascript, jQuery, ReactJS, etc)
• Docker/Kubernetes, Microservices
• ElasticSearch
• General knowledge and understanding of investment banking domain, capital market FO/BO environment is an advantage
• Understanding or interest in finance & financial markets, particularly interest rate derivatives in their many forms (Forwards, Futures, Swaps, Swaptions, etc)

Other Professional Skills and Mindset

• Excellent written and verbal communication skills for both team mates and management
• Strong analytical and problem solving skills
• Proficient software development life cycle
• Appetite to follow technology trend and participate to communities
• Passion for sharing expertise and grow team members’s skills
• Interest in mentoring and guiding junior team members on the path of high quality deliverables.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

This position is pivotal in the recently established global Data & Privacy department, which operates as part of the broader and acclaimed legal, compliance, and risk team. As a critical contributor reporting to the Director of Data & Privacy, you'll ensure Airwallex aligns with China's privacy and data security legal framework. Your expertise will extend to providing legal counsel to the Product, Engineering, Commercial, and Marketing teams, guiding them through data and privacy regulations in China and other APAC regions.

What you'll be doing:

• Collaborate with Business leadership, Engineering, Product, and Information Security teams to implement China's data regulations (PIPL, DSL, and Cyber Security laws)
• Develop and execute a comprehensive compliance program for China data rules.
• Provide privacy counseling to Product teams, ensuring adherence to China's data regulations.
• Work closely with the Product and Legal Regulatory team on privacy by design, privacy impact assessments, and contractual support.
• Lead or support privacy counseling and contractual assistance for other APAC regions.
• Support the Director of Data & Privacy in formulating the data strategy for Airwallex's China business and operations.
• Coordinate international data flows for the broader Airwallex business.
• Engage in strategic data initiatives, with potential involvement in projects for the EU, US, and other regions.

You will bring:

• 6-10 years post-qualification experience, preferably gained in a dynamic, fast-growing digital, fintech, or technology company.
• Qualifications either through bar admission or a common law jurisdiction.
• A minimum of 3 years of general privacy experience, with a solid understanding of Chinese data laws, including the Personal Information Protection Law (PIPL), Data Security Law, and Cyber Security Law.
• Familiarity with other major privacy regimes such as GDPR, CCPA, PDPA, and PIPEDA.
• Professional proficiency in both English and Mandarin is essential.
• Possesses a highly commercial and practical mindset, demonstrating self-starting abilities to identify and prioritize opportunities effectively.
• Proven experience in product and privacy counseling within an agile environment.
• Demonstrate a global outlook combined with deep local knowledge.
• Strong written and verbal communication and presentation skills.
• Proven ability to work seamlessly across multiple functions, with a track record of successfully influencing a broad stakeholder group.
• Advantageous to have experience in technology, financial services, and/or within a high-growth environment.

Job Responsibilities:

• Collate large, complex data sets from diverse data sources
• Responsible for data preparation, data mining, to generate and identify opportunities through analytics.
• Perform exploratory data analysis and provide rapid iterations to refine issues and identify potential solutions
• Interpret and effectively communicate analytical findings and insights to both technical and non-technical stakeholders, facilitating data-driven decision-making
• Play a role in advancing data science infrastructure, tools, and frameworks to enhance efficiency in data analysis, experimentation, and model deployment
• Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards

Job Requirements:

• Master’s / Bachelor’s Degree in a quantitative discipline (e.g., statistics, biomedical informatics, computer science, applied mathematics, or similar), with 3 years of relevant experience
• Possessed experience with Python, R, or similar programming languages
• Working knowledge of data analysis tools and databases
• Strong analytical skills, with experience solving problems using data and providing practical business insights
• Comfortable with dealing with sets of data points from different sources
• Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders

To apply, please visit www.gmprecruit.com and search for Job Reference: 24105

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Responsibilities:

• Overseeing data projects, operations and initiatives regionally in both Commercial and Medical areas
• Overseeing analytics operations in the region in alignment with global data operations/engineering teams
• To be able to support and partner in country data operations and engineering leads, specifically China, Japan & Canada
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• Lead/participate technical discussion forums with global, regional and country counterparts
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work
• Oversee region data security and compliance
• Manage relationships with Technology heads from each countries, including business and commercial teams and global support teams

Requirements:

• Bachelor Computer Science / Computer Engineering, or equivalent experience.
• At least 10 years of established experience in a relevant technology role, especially in data management and data tools build capability (MSFT Power Platform)
• Knowledge in commercial operations/excellence, field force effectiveness
• Knowledge of AI/ML, Gen AI
• Strong stakeholder’s engagement and management skills are important to work across all cross functional teams
• Clear and influential communication skills with the ability to work effectively with both internal and external stakeholders.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24078

To apply, please visit www.gmprecruit.com and search for Job Reference: 24058

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Contract: 1 year
Location: Tuas (bus pickup at JE)
Working Hours: Mon-Fri office hour
Pay: $2200 - 2600

Job scope
• Accurately and efficiently encode all data that needs organizing and recording
• Confirm that entered data accurately aligns with original documentation
• Organize and maintain original paper evidence
• Assure files are properly prepared and saved to backup drives
• Transcribe, scan or photocopy hard copy documents and forms as needed
• Self-audit your work checking for errors or duplication
• Organize files in a logical and manageable fashion
• Adhere to and meet set schedules and deadlines
• Input, track, and maintain all encoded data and records
• Report any major errors or inconsistencies to upper management
• Maintain report logs of in-progress and/or completed work
• Perform any other office tasks that management requires assistance with (sending emails, answering phones, etc.)

Job requirement
• Min. Dip in Science
• Comfortable to travel to West
• Able to commit 1 year
• Proficient in Microsoft Excel

If interested, please email me at [email protected]
➖
Alex Goh Hock Leong
(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

Are you driven by the desire to see your hard work directly impact others? Join the DNDTS team, where we excel in crafting success stories through dynamic projects. Each endeavor is a unique opportunity to contribute to our proven track record of achievements.

Experience the satisfaction of seeing your efforts transform into positive changes in people's lives. In our thriving SME environment, you won't be limited to a single role. You'll have the chance to engage in cross-departmental collaboration, fostering a rich learning experience.

As our team consistently grows, so do opportunities for career advancement. We embrace the startup culture by having a casual working attire and a flat hierachy across deparments. Your journey with us goes beyond a job—it's a chance to make a lasting impact while expanding your skill set. Join DNDTS and become a key player in our success story.

About the Company

Our company specializes in electronic products. We believe in the power of data to guide and refine our business strategies, including marketing, new business development, and overall operations. We are looking for a data analyst to help us unlock the potential of data and optimize our business for continued growth and success.

Roles & Responsibilities

As a Data Analyst, you will be responsible for gathering, analyzing, and leveraging data to inform decision-making and enhance our supply chain, sales channels, and overall business processes. You will collaborate with various departments to identify trends, improve efficiency, and maximize profitability.

Key Responsibilities

• Collect and analyze market data using our proprietary tool to uncover insights into consumer preferences, competitor strategies, industry trends, and potential opportunities for growth.

• Utilize our data analytics and visualization tools to examine data, communicate findings about key business aspects such as sales, revenue, costs, and production.

• Perform process analysis to pinpoint inefficiencies or bottlenecks and implement business process improvements for maximum profit.

• Conduct cost-benefit analyses to determine the optimal allocation of resources, investments in equipment, staffing decisions, or procurement strategies.

Qualifications / Requirements

• Bachelor's degree in Computer Science, Business Analytics, or a related field.

• Proficiency in common data analysis programming languages, libraries, and tools (e.g., Python, R, SQL, Pandas, NumPy).

• Solid data analysis and visualization skills, with experience in tools such as Tableau, Power BI, or similar platforms.

• Excellent communication skills, with proficiency in English.

• Ability to work independently and collaboratively with cross-functional teams.

• Strong problem-solving skills and a results-oriented mindset.

Benefits

• Flexible working hours

• Yearly Bonus and AWS

• Medical Insurance Coverage

• Staff Discounts

• Corporate Discounts at participating F&B and Retail Outlets

• Fast Career Advancement Opportunities

• Multi-Industry Exposure

• Working Location: East - Airline House - Next to Singapore Airlines HQ

Please ensure you meet the minimum qualifications before applying. We regret to inform that only shortlisted candidates will be notified. If you are a data analyst with a passion for using data to optimize operations and drive growth within the electronics industry, apply now to join our innovative company and embark on a rewarding career journey.

Summary:

• Project involves Subscriber Data Management (SDM) involving the HLR, HSS and UDM and a backend repository.
• The Engineer will be involve in testing and analysing the results of the test.
• The Engineer needs to have certain experience in the System, well verse in the protocols; diameter, SS7/MAP and http etc.
• Project will be on contract under agency (3 - 6 months , Extendable)

Key Responsibilities:

• Installation, commissioning, vertical and horizontal integration, operations support of Subscriber Data Management Network Elements
• Support and lead witness testing during UAT along with Customer.
• Creating detailed MOP (Method Of Procedure) documents for planned changes in customer platform, reviewing and validating MOP internally and with customer to get customer approval.
• Execution MOPs on customer platform during designated maintenance windows (including night time if required).
• Troubleshoot, diagnose, and suggest/perform corrective or preventative maintenance actions on issues reported by customers. Provide in depth investigation of critical escalated issues.
• Use and apply Integration and Support processes, policies & tools documentation.
• To support the successful integration of new systems, products, services and validation campaigns to assure the quality of the deliveries through technical and commercial launch
• Maintain high level of customer satisfaction by providing services fully compliant with the SLA.
• Ensure every customer reported issue is properly documented for tracking purposes and learning opportunities.

Requirements:

• Bachelor’s degree in Electrical Engineering, Telecommunication or Computer Science or related field.
• 3 years of progressive experience as Subscriber Data Management Engineer in telecommunication industry

Please submit your resume via APPLY NOW

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

EA License No. 01C4394

REG No :R1105286 (Ngiam Xinyi)

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.

The Head of Data serves as both the business and technical authority responsible for overseeing the comprehensive management and utilization of data, encompassing its architecture, governance, collection, analysis, and strategic application to enhance business value.

The range of duties includes:

1. Assume leadership of the data teams, consolidating the efforts of the data engineering, audience, and data governance teams.
2. Advance our data strategy and advocate for data-driven decision-making to attain pivotal business objectives.
3. Assist in formulating and enforcing protocols for data collection, storage, management, documentation, quality assurance, and security.
4. Supervise the establishment and upkeep of the organization's data lake, leveraging existing data resources to derive business insights, visualize information, and address challenges.
5. Identify prospects to enhance data by integrating it with information from partnerships or external sources.
6. Adopt a proactive stance in aiding business leaders in exploring new revenue avenues through more efficient and innovative data utilization.
7. Spearhead experimental data modeling initiatives within the company. Conduct A/B tests to assess alterations in the company's products and services.
8. Monitor business performance vis-à-vis data analysis models and track trends in key business key performance indicators (KPIs), furnishing pertinent departments with valuable insights to enhance overall business performance.

Required Skills and Knowledge:

• Demonstrated expertise in data/big data management, leadership, overseeing data teams and projects. Experience in constructing data lakes and executing end-to-end deployment of data science models is advantageous.
• Solid background in business, mathematics, or data science and analytics is essential.
• Experience in media, marketing, or consumer businesses is beneficial.
• Proficiency in BI best practices/methodologies, encompassing reporting tools, querying tools, data analytics methodologies, and data visualization.

Required Competencies:

• Proficient in SQL and adept in reporting techniques, with competency in data analytics tools such as R and/or Python.
• Hands-on experience with Big Data technologies like Spark, ProtoBuf, DBT, etc.
• Familiarity with AWS and proficient usage of tools like AirFlow, Kafka, Docker & Kubernetes.
• Exceptional communication skills.
• Adept at team-building, results-oriented, proactive, and self-driven.
• Possesses a creative and strategic mindset, innovative problem-solving abilities, and strong organizational skills.
• Capable of managing multiple simultaneous tasks, prioritizing effectively, meeting tight deadlines, and maintaining composure during times of uncertainty and stress.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

Key Responsibilities:

• Installation, commissioning, vertical and horizontal integration, operations support of Subscriber Data Management Network Elements
• Support and lead witness testing during UAT along with Customer.
• Creating detailed MOP (Method Of Procedure) documents for planned changes in customer platform, reviewing and validating MOP internally and with customer to get customer approval.
• Execution MOPs on customer platform during designated maintenance windows (including night time if required).
• Troubleshoot, diagnose, and suggest/perform corrective or preventative maintenance actions on issues reported by customers. Provide in depth investigation of critical escalated issues.
• Use and apply Integration and Support processes, policies & tools documentation.
• To support the successful integration of new systems, products, services and validation campaigns to assure the quality of the deliveries through technical and commercial launch
• Maintain high level of customer satisfaction by providing services fully compliant with the SLA.
• Create and maintain customer relationship on a day-to-day basis, e.g., communication, information gathering, operational review, escalation and reporting. Provide appropriate follow-up to customers.
• Engage additional support level within a predefined time frame and collaborate with them, as needed, in order to resolve the issues (internal and external escalations).
• Ensure every customer reported issue is properly documented for tracking purposes and learning opportunities.
• Ensure time tracking accuracy for cost charging purposes.
• Understand the service metrics, thresholds, and key performance indicators used to govern the ticket resolution process.
• Use the knowledge management tool by searching/creating/updating articles. Proactively share knowledge.

Required:

• Bachelor’s degree or foreign equivalent in Electrical Engineering, Telecommunication or Computer Science or related field.
• 3 years of progressive experience as Subscriber Data Management Engineer in telecommunication industry

Interested candidate please click on the following link to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile. <Insert GO job URL here>

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• NURUL ATIKA BINTE KASSIM • REG Number R1986508

Job Responsibilities:

• To oversee data projects, operations and initiatives in the Great China & Intercontinental region in both Commercial and Medical areas
• To be able to support and partner in country data operations and engineering leads
• To oversee analytics operations in the region in alignment with global data operations/engineering teams
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• To lead/participate technical discussion forums with global, regional and country counterparts
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work
• Maintain high level of customer service with business and commercial leads

Job Requirements:

• With at least 10 years of established experience in a technology role
• Bachelor Computer Science / Computer Engineering, or equivalent experience
• Proven data management and data tools build capability (MSFT Power Platform)
• Knowledge in commercial operations/excellence, field force effectiveness
• Knowledge of AI/ML, Gen AI
• Strong stakeholder’s engagement and management skills are important to work across all cross functional teams

To apply, please visit www.gmprecruit.com and search for Job Reference: 24081

To learn more about this opportunity, please contact Yi Fang at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Law Yi Fang | Registration No: R1113115

Responsibilities:

• Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.
• Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.
• Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data,and prepare the data for analysis, reporting, or machine learning tasks.
• Contribute to common frameworks and best practices in code development, deployment,and automation/orchestration of data pipelines.
• Implement data governance in line with company standards.
• Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.
• Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).
• Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

Requirements:

Must haves

• Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.
• Extensive experience designing data solutions including data modelling is required.
• Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.
• Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.
• Experience working with both real-time and batch data is important.
• Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.
• Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.
• Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have

• Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain,Customer Interaction, etc. is highly desirable.
• Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.
• Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

• Proficient in working with various types of databases such as but not limited to, Microsoft SQL, MySQL, Oracle, PostgreSQL, Amazon RDS and Aurora.
• Responsible for administrating databases hosted in both on-premises and cloud environment such as but not limited to Microsoft Azure, Amazon Web Service, Google Cloud Platform and Alibaba Cloud, in terms of provisioning and managing database instances, setting up replication and high availability, and monitor database performance.
• Inspect and confirm database backup is valid, database cronjobs and inform respective job owner on any job failure.
• Monitor and perform rectification to issues found in system logs, error logs and dump files, table spaces to detect those reaching threshold, objects reaching max extents and increase extents if required.
• Regular inspection on database objects, database schemas, database links, database users to verify if those inactive ones are required. Housekeeping of logs & dump files to control utilization of storage space.
• Monitor for database locks and remove invalid session threads, database and listeners to be up and running at high availability.
• Monitor for processes consuming CPU or virtual memory or with disk I/O higher than threshold values.
• Provide necessary assistance in shutting down and starting up databases for the periodic system maintenance done during off-peak hours.
• Perform database patching at indicated time, patching is to be tested successfully in test environment prior to applying in production.
• Assist with immediate critical security patching at indicated time, patching is to be tested successfully in test environment prior to applying in production.
• Provide investigation into reported issues suspected to be caused by database and perform remediation.
• Provide support such as execution of database scripts, object deployment, database user management.
• Perform database refresh from production to test environment.
• Conduct reporting on the database health check, growth, and activities with recommendation for tuning of database to improve performance.
• Provide listing on reported issues indicated with SLA compliances.
• Work with database supplier to rectify issues related to the core product.
• Test changes to database in a test environment prior to applying in production.
• Maintain proper, relevant, and updated documentation of managed databases including design, setup configuration, performance tuning changes, troubleshooting-specific procedures and required reports.

Certifications:

• Microsoft Certified Azure Database Administrator
• Oracle Certified Professional
• MySQL Database Administrator
• CompTIA DataSys+ or CompTIA Data+

Qualifications:

• At least six months (to one year) work experience in a database administrator role.
• At least has prior work experience or project deployment with cloud databases.

The Opportunity

• Adecco is partnering with one of the most well-established and respected financial institution with a strong track record of success.
• They have a culture of innovation and continuous improvement, constantly looking for ways to improve their services and offerings.

Job Responsibilities

Inside the team, the successful candidate will:

• Will work 50% on Data Archival & Masking topic remaining 50% on Java related technologies
• Implement Archival & Data Masking solution defined by Product Expert
• Prepare and maintain technical documentations and software deliverables
• Knowledge on java development is preferred
• Execution of Morning checks on existing Archiving & Data masking processes on production
• L3 support for Data Archival & Data masking and Other Java projects

Job Qualification

• The position requires 4+ years relevant experience in developing Archiving & Data Masking solutions.

Mandatory

• 4+ years experience in SQL for various Database engines ( SQL Server, Oracle, Sybase, and preferably DB2 )
• Understanding of database architectures, data relationship integrity, database administration, test data management, and the normalization of data elements
• Willingness to work on Java applications as well
• Experience with IBM's Optim products for Archiving & Data Masking is preferred (if not willingness to learn IBM Optim is must - on job training will be provided)
• Willingness to work with IDP USignOn product is must (on job training will be provided)

Nice to Have

• Experience in development of Java application

Other Professional Skills and Mind-set

• Ability and willingness to learn and adopt new technologies
• Strong organizational and communication skills
• Strong analytical and problem solving skills
• Awareness of various software development procedures
• Ability to follow defined procedures
• Understanding and respect of cultural diversity

Next Step

Click “apply” or send resume to: Tamanna Bilandi [email protected]

EA Licence No.91C2918 | Personnel Registration No. R2096241

Responsibilities:

• Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.
• Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.
• Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks.
• Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.
• Implement data governance in line with company standards.
• Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.
• Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).
• Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

Requirements:

Must haves

• Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.
• Extensive experience designing data solutions including data modelling is required.
• Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.
• Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.
• Experience working with both real-time and batch data is important.
• Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.
• Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.
• Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have

• Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain, Customer Interaction, etc. is highly desirable.
• Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.
• Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.

Job Description:

Design & Build Enablement:

• The project involves designing and building enablement solutions for the client.
• Responsibilities: As an Entry-Level to Mid-Level Application Developer, you will be responsible for designing and building enablement solutions using your expertise in Design & Build Enablement.
• Your day-to-day activities will include analyzing client requirements, developing technical designs, and collaborating with project teams for successful project delivery.
• Analyze client requirements to design and build enablement solutions using Design & Build Enablement proficiency.
• Provide expert technical guidance and support throughout the project lifecycle.
• Conduct rigorous testing and troubleshooting to optimize the performance of enablement solutions.

Requirements:

• MUST have: Certified Azure Kubernetes Services and proficient and experienced in the deployment of AKS in a project implementation

Responsibilities:

- Support the organisation's data centre services through monitoring and management for system, network and facilities
- Perform computer operations including account and tape management
- Incident management and act as escalation point to any facilities and system / network
- Manage and administer the service desk operations
- System alert monitoring and perform necessary escalation
- Liaison with landlord / vendor with regards to utilities, building services / facilities and systems issues
- Assist in planning and execution of disaster recovery activities
- Ensure procedures, processes and service level are being followed for any service delivery and operations
- Review of the data centre operations and report any gaps and issues
Maintain proper IT documentation and prepare monthly reporting

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. <R1548745> <Teoh Shiau Swang>

• Support global data analytics platforms & products
• Act as primary contact for business users
• Manage vendor accounts & cloud service tickets
• Develop long-term data operation framework
• Engage with business to prepare data

Requirements:

• Minimum Degree in Data Science/Data Analytics with at least 5 years of relevant working experience.
• Proficient in Databases Concepts, SQL related skills, Azure knowledge, Databricks, Power BI and ITIL framwork and process

Interested candidates please send in your resume to:

Yvonne Suan Ying Zhen

Outsourcing Team

Email: [email protected]

EA License No: 99C4599

*All information will be treated with strictest confidence. We regret that only short-listed applicants will be notified.