Nityo Infotech Services is looking for a Data Center System Operator (Entry Level). This is a permanent role with Nityo.

Responsibilities:

· 1st main task:
* monitor the health of the Mainframe Computer & Server via a console, which is a large computer monitor
* 3 status light, GREEN, AMBER, RED
* GREEN = everything is running well
* AMBER n RED = Systems displaying some problem
* require to escalate to Level 2 trouble shooting (Systems Administrator; Computer Engineer

· 2nd main task:
* help to do DATA Backup when on night duty, depending on which data centre you are deployed to

· Other ad-hoc tasks:
* print reports/ receipts
* escort Contractors into the data centre

Requirements:
· Min. 'O' Level Pass in Mathematics
· Candidate attending regular academic courses will NOT be considered
· Example of a Typical Shift Pattern (varies with different DCs)
2 rotational shifts: eg. 8.30am - 8.30pm; 8.30pm - 8.30am
*Work 3 days, Rest 2 days; Work 3 nights, Rest 2 days.
· 16 shifts/ 4-weeks. Weekends or PH could be a work day, or off day, depending on the roster
· Expected to cover up to 17 to 18 shifts /4-weeks period.

Working location: Singapore General Hospital

This is the pay structure for our entry level Sys Ops if u r selected, there will be no other allowances/AWS/Bonus etc. :
• $2,000 - $2,144 (incl. of shift allowance);

• 1-day salary /PUBLIC HOLIDAY (applies for both shifts or rest days)

Summary:

The Data Engineer will work with engineering and business stakeholders to gather requirements before designing, developing, and maintaining purpose-built data pipelines and data models. The ideal candidate will have a strong background in building Extract-Load-Transform (ELT) or Extract-Transform-Load (ETL) data pipelines.

Responsibilities:

• Work closely with stakeholders to understand their requirements.
• Design, develop, and maintain data pipelines and data models.
• Continuous optimization of data pipelines and data models.
• Support operational needs of data pipelines and data models

Mandatory Skills

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 3 years of experience in a role focusing on data pipelines.
• Experience in building on data platforms (e.g. Snowflake, Redshift, Databricks).
• Experience in Continuous Integration and Continuous Deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Proficient in SQL and Python.

Good to have:

• Experience in building on data transformation frameworks (e.g. dbt, Dataform).
• Cloud environments (e.g. AWS, GCP, Azure).
• Big data technologies (e.g. Spark).
• Data platform migration.

EA License Number : 11C4879

Job Duties:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Job Requirements:

• L3 Data Center DBA Support using SQL server
• Troubleshooting in multiphasing
• Experience in Linux and Unix platform rather than windows

• The Data Engineer will work with engineering and business stakeholders to gather requirements before designing, developing, and maintaining purpose-built data pipelines and data models. The ideal candidate will have a strong background in building Extract-Load-Transform (ELT) or Extract-Transform-Load (ETL) data pipelines.Possess a degree in Computer Science/Information Technology or related fields.
• Work closely with stakeholders to understand their requirements.
• Design, develop, and maintain data pipelines and data models.
• Continuous optimization of data pipelines and data models.
• Support operational needs of data pipelines and data models
• At least 3 years of experience in a role focusing on data pipelines.
• Experience in building on data platforms (e.g. Snowflake, Redshift, Databricks).
• Experience in Continuous Integration and Continuous Deployment (CICD).
• Experience in Software Development Life Cycle(SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Proficient in SQL and Python.

Skillsets (Good to have)

• Experience in building on data transformation frameworks (e.g. dbt, Dataform).
• Cloud environments (e.g. AWS, GCP, Azure).
• Big data technologies (e.g.Spark).
• Data platform migration.

Morgan McKinley is hiring an IT Infrastructure Engineer to join the team for a 6 -12 months contract with possibility to extend or to go permanent!

Key Responsibilities:

• Designing, implementing, and maintaining an organization's computer systems and networks.
• Ensure the stability and efficiency of IT infrastructure, troubleshoot issues, and implement security measures.
• Additionally, they collaborate with other teams to support software deployment and system integration.

Job Requirements:

• 1-2 Years of IT infrastructure operations experience.
• Server / Computer hardware knowledge and/or experience
• This role involves working as a team, and following standard operating procedures closely.

Preferred Qualifications:

• Basic understanding of Network operation / support experience
• Basic understanding of IT service management
• Data Center environment safety and security awareness.
• Knowledge about Data Center facilities (power and cooling)
• Remote Access: Console routers, IPMI, Ticketing System such as BMC Remedy

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

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

As a Data Engineer, you will work with a team to implement SaaS-based energy efficiency and customer engagement programs on behalf of our utility partners. You will collaborate with a diverse group, including a Project Manager, a Senior Implementation Engineer, as well as members of the Product Engineering, Product Management, and QA teams. Setting up new programs for our clients, and we rely on your input and expertise for our overall success.

Our Data Engineers rely on a diversified technical skill-set, including: data manipulation via complex SQL queries, experience on the Linux command line, shell scripting, and software development using high-level programming languages such as Java or Ruby. We do not expect you to immediately be masters of the full spectrum of technologies used, but through on the job training and coaching, you will gain the necessary skills required to launch the programs for new clients.

Description

What You'll Do

• Communicate with the IT resources of the client to explain technical requirements including web integration, single sign-on configuration, and transfer of data
• Analyze, transform, and load data from the clients to meet Oracle's data standards
• Integrate data with additional data from various 3rd party sources to generate a holistic customer profile
• Build and maintain a deep understanding of our products with the ability to explain them to others; think about how client customization and delivery can be sped up and improved
• Configure and customize Oracle's SaaS platform to meet the specific needs of each client
• Build long-term relationships with clients by launching programs from pilot phase to through large scale rollouts
• Collaborate with cross functional teams to operationalize new products and features

Required Skills/Experience

What You’ll Bring

• Minimum of 3-5 years of hands-on technical experience
• You enjoy sniffing out complex, technical issues and solving them
• You are able to write SQL for large data sets and have recent experience with relational databases, MySQL preferred
• You have experience in Linux and are not afraid of the command line
• You demonstrate some programming knowledge (most of our code is in Ruby and Java, but Perl, Python, shell scripting have their places too)
• You are a smart, talented engineer, looking for an exciting, fast-paced company to expand your toolbox and develop your skills
• Strong verbal and written communication skills

Responsibilities:

1. Possess good knowledge of data centre operation tasks and duties.
2. Liaise with DC/Building landlord to ensure optimal operation of electricity, HVAC and monitoring environments within Mission Critical IT facilities in Data Centre and remote buildings.
3. Strong ability to support activities in data centre and computer rooms
4. Ensure data centre physical security procedures are followed strictly.
5. Prompt escalation of incidents following the standard incident response procedure & track till closure
6. To generate reports to management

Requirements:
1. Minimum 5 years Data Centre facility experience preferable in a team.
2. Experience working in a high-pressured environment with 24x7 on-call responsibilities
3. Strong understanding of incident, problem and change management procedures based on ITIL best practices
4. Experienced in supporting Data Centre vendors, out-sourcing vendors.
5. Ability to multi-task and proficient in Microsoft Office applications; Excel & PowerPoint
6. Good written and verbal communication skills
7. Highly motivated and self-driven
8. An analytical and inquiring mind to derive innovative solutions.
9. Ability to work independently and in a team
10. Must have experience working in data centre operations in financial institutions.
11. Familiarity with equipment requirements in Data Centre such as storage, servers and networking equipment such as routers, switches is a plus.
12. Familiar with Structured Cabling system and its related components.

Susmita Sahu
Direct Line: 6697 7886
EA License No: 91C2918
Personnel Registration Number: R23114076

Job Responsibilities:

· To execute activities for the recruitment of special population groups

· To develop recruitment strategies to recruit specific patient groups in line with company priorities and objectives.

· To work with Recruitment Team Leader to coordinate publicity and recruitment exercise focusing on special population group.

· To initiate recruitment drives collaborating with external parties to expand the pool of special population.

· To provide inputs into the development of study-specific patient recruitment plan.

· To reach out and work closely with external collaborators to drive patient recruitment initiatives.

Requirements:

• Diploma or Degree in Business / Marketing / Arts / Sciences
• No experience required as on-job-training will be provided
• High energy, team player and people oriented

Jessie Hoe Huey Miin

CEI R1103861

EA: 99C4599

The candidate will be responsible to support business owners, data scientists & technical manager for data engineering related services, enabling them to develop quick prototypes with specific data sets, test hypothesis and build data models across various internal & external data sources. He/she will be required to collaborate with the various divisions of the company to provide data engineering and embedded analytics solutions, Extract, Transform, Load (ETL) workflows; identify, analyse, and interpret trends or patterns in complex data sets and guide business owners to achieve their business objectives through data insights.

The candidate must have a wide data engineering, management, analysis & protection related knowledge & working experience. He/she should have the relevant expertise in data profiling and cleaning, data management & access control, data architecture design and data scanning.

He/she should also be proficient in performing data analytics, report writing and presenting findings. He/she should process strong analytical skills to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.

Key Responsibilities:

1. Support business owners, data scientists and technical manager in data driven experiments, testing hypothesis and use cases using varied data sources of the company.

1. Design and own Dashboards in Tableau, MicroStrategy and Grafana or other data analytics tools and develop/deploy embedded analytics solution by integrating real time BI dashboards on business applications.
2. Work with various divisions to understand key business problems and/or prioritise business and information needs by recommending improvement actions through data mining, statistical analysis, and data visualisation techniques.
3. Work on large-scale structured and unstructured data sets to solve a wide array of challenging problems, using analytical, statistical, machine learning approaches to build ML models.
4. Design and develop robust, scalable, and efficient data pipelines for collecting, processing, and storing large volumes of structured and unstructured data.
5. Implement Extract, transformation, and Load (ETL) solutions for new data sources for Data Platform.
6. Optimise data pipelines for performance, scalability, and cost-effectiveness, considering factors such as data volume, processing speed, and resource utilisation.
7. Stay up to date with the latest developments in data engineering and AI/ML technologies and contribute to the adoption of best practices within the team.

Qualifications:

1. Master’s degree in computer science engineering, or a related field with minimum 2 years working experience in the IT industry.

1. Proven experience as a Data Engineer, BI developer, or related role, with a focus on building data pipelines for data analytics and machine learning projects.
2. Strong proficiency in programming languages, such as Python, Java, XML as well as SQL for data analysis.

4. Familiarity with business intelligence visualization tools (MicroStrategy, Tableau, Grafana…etc.), databases (Redshift, Oracle, etc.)

1. Understanding of cloud platforms, such as AWS, GCP or Azure; and experience with cloud-based data services.
2. Understanding of database systems, data modelling and ETL principles.
3. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
4. Excellent communication skills and the ability to effectively communicate complex technical concepts to non-technical stakeholders.
5. Excellent presentation skills

IDC is seeking a Customer Success Associate - Tech Investor to join the company’s growing proprietary and customized Technology, Media, and Telecom (TMT) research offering to the financial services community. IDC’s Investment research team works directly with many of the world’s premier sell-side firms, hedge funds, mutual funds, venture capital firms and private equity funds in providing fundamental research support to their analysts. The Customer Success Associate’s primary responsibilities will include providing clients with best-in-class customer service in support of their research projects.

Responsibilities:

The Customer Success Associate - Tech Investor position will include specific research and client service responsibilities focused on supporting the research needs of sell-side, buy-side, VC and private equity institutions. Ongoing activities will include the following:

• Handling incoming research requests from an assigned group of clients

• Create strong partnerships with clients; building credibility by being responsive, diligent, and relevant

• Coordinate research calls, in-person meetings and custom projects with financial clients and IDC analysts

• Cultivate relationships with IDC research analysts and the financial services sales team

• Serve as an overall team player supporting clients and colleagues in a very collaborative environment

Qualifications:

• Bachelor's Degree or equivalent experience
• 2+ years of relevant client facing experience
• A strong understanding of the research needs of the investment community as well as a strong interest in technology
• Time management skills, especially when it comes to managing multiple client inquiries • Positive perspective and a good sense of humor
• Strong collaboration skills
• Excellent verbal and written communication skills
• Experience working in a technology or other fast-paced environment
• Software proficiency (e.g., Excel, pivot tables, PowerPoint, etc.

• Good Experience on SAP Data migration strategy to migrate from ECC/Non-SAP to SAP S4 HANA as using SAP Business Objects Data Services (BODS 4.2)
• Strong Data Migration background
• Work experience on various transformations like Map Operation, Table Comparison, Row-Generation, History Preserving, Query and SQL transformation.
• Should Possess very good SQL experience
• Experience with admin console, designer and server manager tools BODS Server and client tools installation experience
• Working experience in loading data through IDOCs, Files, RFC and LSMW.
• Experience in performance tuning and code optimization
• Experience in BODS scripting and Batch scripting.
• Experience in integration with different system like SAP Applications, HANA and RDBMS source systems
• Receives direction rather than supervision
• Able to act independently, seeking consultation guidance and advice as appropriate
• Ability to understand cross functional data
• Ensure deliverables are prepared in good quality and on time
• Need to be proactive in highlighting the issues / risks
• Knowledge in SOLMAN/Charm Process and Power BI or LTMC is an added advantage.

Resolves integration issues, supports ad hoc data uploads, and implements change requests