Summary:

We are seeking a highly skilled and experienced Big Data Lead Architect to oversee the design, development, and deployment of big data solutions. The ideal candidate will have strong expertise in managing and architecting large-scale data platforms using advanced technologies such as Cloudera, Azure Cloud, and Kubernetes, among others.

Key Responsibilities:

• Lead the design, architecture, and implementation of end-to-end Big Data solutions.
• Oversee the integration of Cloudera CDH/CDP platforms for data management and analytics.
• Architect scalable solutions using technologies like Cloudera Machine Learning, Elasticsearch, and AML applications.
• Collaborate with data science and engineering teams to optimize the deployment of data models and machine learning pipelines.
• Ensure high availability and disaster recovery of big data platforms using technologies like Kubernetes, VMWare, and Azure Cloud.
• Automate infrastructure and deployment processes using Chef and Shell scripting.
• Implement monitoring and observability solutions using Prometheus, Grafana, and other monitoring tools.
• Manage security frameworks for big data environments using CyberArk and Trend Micro.
• Perform infrastructure troubleshooting and manage incident resolution using Remedy.
• Optimize database performance and management using PostgreSQL.
• Collaborate with cross-functional teams to ensure secure, reliable, and scalable infrastructure on HPE servers.

Required Skills & Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.

Experience:

• 7+ years of experience in Big Data architecture and infrastructure, with a minimum of 3 years in a lead role.

Technical Expertise:

a) Cloudera CDH/CDP platforms and Cloudera Machine Learning.

b) Azure Cloud architecture and deployment.

c) Experience with Kubernetes, VMWare, RHEL, and container orchestration.

d) Monitoring tools: Prometheus, Grafana.

e) Security tools: Trend Micro, CyberArk.

f) Scripting: Shell scripting and automation with Chef.

g) Strong experience with Tableau and SAS for data visualization and analytics.

h) AML application expertise and experience with Elasticsearch.

i) Database expertise in PostgreSQL.

j) Strong experience in infrastructure management with HPE servers.

k) Proven experience in working with cloud and on-premise environments.

Preferred Skills:

a) Experience with disaster recovery, high availability, and security compliance.

b) Experience with DevOps practices and continuous integration (CI) pipelines.

c) Experience managing large-scale environments and multi-tier architectures.

Soft Skills:

a) Strong problem-solving and critical-thinking skills.

b) Excellent communication and leadership abilities.

c) Ability to work collaboratively in a fast-paced, dynamic environment.

d) Strong organizational and multitasking skills.

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

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

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Background

Alternatives.pe provides the most detailed and comprehensive financial information on startups, SMEs, and their investors. Since launching in 2020, the company has already signed up clients like GIC, Sequoia, KKR and most of the leading investors in Southeast Asia. And this is just the beginning.

Role & Responsibilities

You will design and manage the processes that build and maintain our database of Key People who work for Fund Managers, Limited Partners and Family Offices.

Skills Required

• Must be a skilled user of a range of data acquisition tools
• Must be a skilled user of data cleaning and management tools to deduplicate, match, append etc. Ability to write functions in Google AppScript or Python would be a plus
• Familiar with LinkedIn Sales Navigator
• Familiar with dealing with email address data (and its validation)
• Familiar with process automation / integration tools (Make/Zapier etc)

Specific requirements of the job are:

• Design, implement and manage the process of finding new, relevant people that should be included on the Alternatives.pe platform, and maintaining the freshness of that data.
• Process raw data from various sources and prepare it for analysis/ingestion.
• Monitor data quality and implement improvements as needed.
• Help identify new data sources that our subscribers will find valuable.
• Develop a measurement framework that monitors key metrics for management.
• Collaborate with the development team to integrate data processing workflows.

Requirements

• 2-3 years of working experience
• Experience in a role that involves research / data acquisition and data operations.
• Highly developed attention to detail and enjoy getting data sets 100% accurate.
• Good communication skills in English.
• Excellent problem-solving skills
• Ability to work remotely, independently and in a team environment.
• Able to adapt well in a fast-paced startup environment
• Bachelor's degree in a business or technical subject.

The ideal candidate has experience with large-scale data processing and a solid grasp of data science workflows. This position allows for a substantial impact on the team’s research direction within a successful proprietary trading firm.

Responsibilities:

• Identify high-quality data and request acquisition through data team tickets.
• Develop tools for data visualization and exploration.
• Apply statistical and ML techniques to detect patterns and trends.
• Stay updated on data science and crypto industry advancements.
• Benchmark model performance against leading techniques.
• Build metrics and dashboards to track trading strategy performance.

Requirements:

• At least 5 years in data science, with 2 in leadership
• Master’s in EE, CS, Physics, Mathematics, or related field
• Proficiency in Python, large-scale data processing, and ML frameworks like TensorFlow, PyTorch, and scikit-learn
• Experience in time-series analysis, modeling, and forecasting
• Strong understanding of model architecture and code quality
• Knowledge in crypto or finance is beneficial but optional

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

JOB DESCRIPTION

Job Title

Data Engineer

Occupation

DATA ENGINEER

Job Description & Requirements

About the Client:

Our client is a leading Information Technology (IT), consulting, and business process services company

Responsibilities:

• Implement robust solutions for data extraction and transformation from various sources including flat files and RDBMS.
• Configure and manage job scheduling and automation using tools like Control-M and Autosys.
• Develop shell scripts and use Unix commands to enhance ETL performance and streamline data processing.
• Ensure efficient job execution, error tracking, and troubleshoot performance issues.
• Use Moody’s tools (RCO, RAY, RFO) to support liquidity, risk management, and financial reporting projects.
• Troubleshoot and resolve issues related to GL recon breaks, ALM/LIQ stress processes, and LCR processes.
• Support Big Data solutions by working with core Spark (batch processing) and Spark SQL using Scala.
• Use Hadoop technologies like HDFS, Hive, and Sqoop for large-scale data migration and analysis.

Skills/Requirement:

• 10 years of expertise in ETL, Data Warehousing, and Big Data technologies. Should have a strong background in IBM Infosphere DataStage, Oracle PL/SQL, Unix Scripting, and hands-on experience with Moody’s tools.
• The role requires in-depth knowledge of data extraction, transformation, and loading (ETL) processes, as well as experience with CI/CD and automation tools to support efficient data operations. This is an opportunity to contribute to large-scale data projects and work closely with cross-functional teams in a challenging and dynamic environment.
• Design, develop, and maintain ETL processes using IBM infospheres DataStage (versions 8.1, 8.7, and 11.3).
• Build and optimize parallel jobs to clean, transform, and load data into target databases.

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R24125310 (PARAMATASEEMA NAVEEN RAJANNA)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

“By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries

Do you love healthtech and Singapore put together? Then you just might love this company

The company is a multiple award-winning Healthcare IT Leader that digitises, connects, and analyses Singapore's health ecosystem Its ultimate aim is to improve the Singapore population's health and health administrations by integrating intelligent, highly resilient, and cost effective technologies with process and people

A Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And 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

Job Description:

• 10 years of expertise in ETL, Data Warehousing, and Big Data technologies. The candidate should have a strong background in IBM InfoSphere DataStage, Oracle PL/SQL, Unix Scripting, and hands-on experience with Moody’s tools.
• The role requires in-depth knowledge of data extraction, transformation, and loading (ETL) processes, as well as experience with CI/CD and automation tools to support efficient data operations.
• This is an opportunity to contribute to large-scale data projects and work closely with cross-functional teams in a challenging and dynamic environment.
• Design, develop, and maintain ETL processes using IBM InfoSphere DataStage (versions 8.1, 8.7, and 11.3).
• Build and optimize parallel jobs to clean, transform, and load data into target databases.
• Implement robust solutions for data extraction and transformation from various sources including flat files and RDBMS.
• Configure and manage job scheduling and automation using tools like Control-M and Autosys.
• Develop shell scripts and use Unix commands to enhance ETL performance and streamline data processing.
• Ensure efficient job execution, error tracking, and troubleshoot performance issues.
• Use Moody’s tools (RCO, RAY, RFO) to support liquidity, risk management, and financial reporting projects.
• Troubleshoot and resolve issues related to GL recon breaks, ALM/LIQ stress processes, and LCR processes.
• Support Big Data solutions by working with core Spark (batch processing) and Spark SQL using Scala.
• Use Hadoop technologies like HDFS, Hive, and Sqoop for large-scale data migration and analysis.
• Key Skils: ETL, Moody’s, CI/CD, RCO, RAY, RFO, ALM, Spark, Scala.

We are seeking a dynamic Brand Ambassador to join our team and help us create an exceptional brand experience for our customers. As a Brand Ambassador, you will be the face of our company, embodying our values and promoting our brand identity to a wide audience.

What is in it for YOU:
✔️ Overseas traveling exposure trips
✔️ Leadership skills development
✔️ Personal development workshops
✔️ 1-1 coaching

✔️ Get out of comfort zone

✔️ Uncapped Earnings

What your day to day looks like:
✔️ Drive customer acquisition through face-to-face interaction
✔️ Market our client product and services through business development
✔️ Manage and lead a events and marketing team

Whatsapp JS @8654 6768 to find out more & secure a spot!

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an IT Maintenance Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Provide technical assistance to clients when required.
• Support operations on a 24/7 basis, with rotating shifts.
• Diagnose and resolve technical issues promptly.
• Communicate complex technical information in simple terms to clients.
• Understand and manage client requirements.
• Collaborate with the support team to escalate unresolved issues to the relevant product vendors.
• Maintain close communication with vendors to improve and support product solutions based on feedback and industry trends.
• Continuously enhance knowledge in IT security products and solutions.
• All other adhoc duties as assigned.

Requirements:

• Minimum Nitec/Diploma or other related field of studies.
• Minimum 1 years’ relevant experience.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Benefits:

• Basic salary up to $2800
• Good career progression
• East Area
• Training provided

Job Scope:

• Perform troubleshooting and recovery on semiconductor manufacturing equipment to reduce downtime and ensure optimal performance.
• Assist in establishing recovery processes and procedures to enhance equipment operation efficiency.
• Conduct routine inspections and preventive maintenance on semiconductor tools and machinery, ensuring all equipment remains in top condition.
• Collaborate with engineering teams to analyse data and enhance recovery techniques.
• Document maintenance activities, recovery procedures, and equipment performance for quality assurance and compliance.

Job Requirements:

• Possess a bachelor’s degree in electrical/ mechanical engineering or related field will be a plus
• No prior experience required

To Apply, kindly click on the "APPLY NOW" button and job details.

We regret that only shortlisted candidates will be notified.

StaffKing Pte Ltd (20C0358) | Tan Pei Xuan (R24124430)

• Well Established Company
• Basic $2500 - $2800 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Tuas
• Working days: Monday to Friday
• Working hours: 8am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• Assisting with, filing, data entry, and recording and maintaining accurate and complete records
• Preparing invoices, and other documents
• Working with bookkeeping software, online spreadsheets, and databases
• Processing transactions, issuing payments, and updating ledgers
• Data entry
• Any other ad hoc duties as assigned

Job Requirements:

• Possess minimum Nitec and/or Diploma in Accounting or equivalent
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Up to $5,500 Basic+ Variable bonus!
• Permanent position/ 5 work days/ Project Data centre @ Tuas [Shuttle service provide at Jurong East MRT station].
• Our client is a reputable MNC & leading A1 main contractor!

Our client is a reputable MNC and leading A1 main contractors diverse in civil and building project.

Job Responsibilities:
• Responsible for all works related to M&E Quantity Surveyor duties.
• Liaise with consultants and subcontractors on progress claim.
• Prepare subcontract documents and purchasing agreements.
• Preparing cost estimation and identify variation works.

Job Requirements:
• Diploma/ Degree in Mechanical/ Electrical/ Quantity Surveying or equivalent.
• Minimum 3 years in construction Building/ Data centre projects.

Other Information:
To apply please click on the APPLY button or email your resume to [email protected] with the following details:
• Reason for leaving each past & current employment
• Salary drawn for each past & current employment
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified.
Lionel Cheow
EA License | 14C7092
EA Registration Number | R1105005

Job Description

• Industry/ Organization Type: Manufacture of Electrical Equipment
• Position Title: Sales & Marketing Manager (Data Center)
• Working Location: Nearest MRT – Woodlands North/Admiralty
• Working Hours: Monday – Friday, 8.30am – 6pm
• Salary Package: Up to $8,000 + VB + Commission + Transport Allowance
• Duration: Permanent

Key Responsibilities

• Identify and cultivate new business opportunities and potential segments to drive growth.
• Develop business plans aimed at increasing market share, revenue, and achieving profit goals.
• Negotiate contracts and build strong, long-term relationships with both existing and new clients.
• Track and analyze sales and marketing performance metrics, ensuring progress aligns with targets.
• Prepare and present regular reports for management review.
• Lead and nurture the sales and marketing team, facilitating growth and development within the team.
• Perform other related tasks as required

APPLY NOW!!!

• Minimum Diploma in Business, Marketing, or Electrical Engineering or equivalent
• At least 4 years of Sales & Marketing experience, preferably within the Data Center sector
• Possession of own transport is required.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #70293 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Norman Wee | EA Reg No.: R23115114