Working hours: Mon to Fri, 8:30am to 6pm

Position Summary

This position is responsible for physical and technical tasks related to Data Center Infrastructure equipment.

Primary Responsibilities

• Perform physical and technical tasks of intermediate & escalated complexity on Data Center infrastructure equipment including but not limited to servers infrastructure, network infrastructure, or other equipment on the DC floor, without immediate supervision.

• Work alongside Technicians in installing, troubleshooting, and maintaining servers, networking equipment, and cabling (requires moving and racking equipment)

• Fix broken servers (replace hard drives, replace bad sticks of RAM, etc.).

• Use hardware/software tools and workflows (automation) in support of these tasks.

• Strictly follow all policies, processes, and procedures related to the activities and data center environment.

• Perform maintenance on a timely basis with adequate recordkeeping.

• Maintain equipment in running order with minimal downtime.

• Ensure a safe working environment and perform maintenance in a safe manner.

Requirements

• NITEC in IT or technical based qualifications.

• Familiar and comfortable using and working with IT equipment and software.

• Experience in repair of electronics components of computers.

• Scissor lift license would be an added advantage.

Overall (10) years of IT / Data Engineering experience.

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users
• Conversant in Microsoft Office products

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

At least (3) years of hands-on experience in:

• Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
• Implementing Data Quality validation
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema
• Python Coding Experience

Required qualifications Bachelors of Engineering

JOB DESCRIPTION

• Define key metrics for governance to ensure compliance with data-related policies, standards, roles, and responsibilities
• Drive Data Governance and Management on an on-going basis through being the chair to the Data Governance Council
• Responsible for defining data policies and standards, managing stakeholder communication and progress reporting to leadership and executives
• Manage and coordinate all key issues and escalations around data governance
• Work closely with Data BP's s to build their engagement and stewardship of data assets
• Collaborate with our Cybersecurity and technology operations teams to implement data governance standards and best practices to improve the quality of data
• Leverage deep experience in the implementation of data governance solutions in such areas as: data quality, data lineage, data glossary, data security management, metadata management, and advanced data analysis solutions
• Write data governance policies, oversee the adoption of data governance efforts, and partner with the legal and information security teams to fulfill Keppel's commitments related to reducing Data Management risks

JOB REQUIREMENTS

• An excellent communicator who can drive the process to govern data at enterprise scale as the role requires close collaboration with senior-level executives (members of DG Councils/C-Suite), business data owners, and stewards
• At least 10+ years of experience in a leadership role related to data
• At least 5 years of experience either in leading a data governance function or being part of a team that managed large-scale data governance initiatives; with expertise in data governance, data quality industry best practices and framework

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

Job Description

• To perform data entry, entering client accounts, patient demographic information & order laboratory tests completely and accurately into the Laboratory Information System (LIS).

• Recognize and correct inaccurate or missing information on the laboratory requisitions

• Filling and archiving of documents.

• Assist in printing department, sorting and distributing laboratory reports on an ad-hoc basis.

• Any other ad-hoc administrative duties as assigned.

• Ensuring smooth daily operation.

Job Requirements

• Willing to work 5.5 days (Mon-Sat) work week, overtime and rotating shift schedule

• Minimum GCE N & O-Level with at least 1 year of relevant call centre work experience, preferably in healthcare industry.

• Good typing skills and accuracy.

• Strong communication and interpersonal skills

• Excellent phone etiquette and positive learning and working attitude

• Fluent in written & spoken English is a must

• Computer literate, Proficient in Microsoft Office and Excel

• Hardworking, responsible, multitask and meticulous attention to detail

• Cooperative, able to work well with colleagues and superiors.

• Team player & supportive of the operational needs

Shortlisted candidates will be required to do a typing skills test.

Work Schedule:

Monday to Friday: 10.15 am to 6.45 pm

Saturday: 11.00 am to 3.30 pm

Start time subject to change accordingly to operational needs.

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

Technical Operations Data Analyst

• 12 months contract
• Hybrid work location
• Work location: CBD

The Opportunity

• Review operational issues and determine if a technology (product) solution is required or a process correction needs to be made. Identify opportunities to improve business practices and drive internal process improvements.
• Track and report on operational performance for the global team and conduct data analysis regularly to identify trends and areas of improvements.
• Run daily standup meetings and monitor and manage daily customer support tickets for prioritization and triage.
• Assist in creating Business Review content for leadership meetings.
• Ensure the team adheres to established processes and protocols while staying informed about any updates or changes. Proactively highlight any deviations that affect our quality of support both internally and with vendors.
• Identify and address any roadblocks or issues that may impact operations
• Update status page for product issues when needed
• Support daily hand-over activities between different regions
• Coordinate with the team and prepare regional monthly meeting content
• Coordinate customer notifications on expiring API product version
• Document learnings and share operational insights to cross-functional teams

Your Background

• 2-4 years of experience providing operations support in a technical environment with strong understanding of Operational Metrics and Key Performance Indicators to measure success of a team.
• Demonstrated creative problem-solving approach and experience in using data visualization technologies to help drive business insights.
• Experience in building advanced SQL queries and dashboards to find operational trends and root cause by dice and slicing data.
• Customer-oriented mindset with demonstrated understanding and empathy
  High attention to detail, with an ability to execute standard workflows while also adapting appropriately to business and process changes when necessary
• Demonstrated ability to multitask and prioritize in a fast-paced environment
• Collaborative team player with "get it done” attitude
• Excellent interpersonal skills, including relationship building and collaboration within a diverse, cross-functional team.
• Excellent verbal and written communication skills and demonstrate attention to detail

Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information.

POSITION GENERAL DUTIES AND TASKS :
Skillset

- Up to 9 years of IT experience & 5+ Years on Hadoop and K8s Eco Systems

- Last 3 years of relevant experience in banking/financial services industry

- Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka and Streaming.

- Strong SQL, Python, Java and Unix shell scripting

- Incident, problem, and service Outage management experience is Plus.

- Good Communication and Articulation Skills



Roles/Responsibilities

- Strong in data engineering concepts and programming

- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Experience in supporting data transformation, data structures, metadata, dependency and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

- Provide operational support and ensure SLI of Applications

- Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

- Proactively Identify and Identify opportunities for preventive Maintenance

- Perform Administration & Optimization to achieve of Optimal System Performance

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards

- Recommend Design and Operational Optimizations

- Respond on time to the queries raised by various business units

- Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders

- Work with Project/Enhancement Teams to Review, Transition for Run Team

- Participate in Disaster Recovery and Business Continuity exercises

- Support relevant software/platform/database upgrade for the systems

- Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications

- Support data APIs, data science ML applications running on Kubernetes platform.



Datawarehouse Support Engineer (EDW)

The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.

He/she is responsible for ensuring system availability and timely deliverables for datamarts for various business unit like Finance, regulatory, Campaign.

The support specialist, as the analyst expert within the IT team, will be the support staff who needs to closely co-ordinate and work with various team like Tech Infra, application services, solutioning, project and business units in the bank. He/she follows up to resolve issues reported by users and performs impact analysis related projects/enhancements that will impact the EDW.



Roles/Responsibilities

- Responsible to provide BAU support for Enterprise Datawarehouse

- Responsible to provide operational support and ensure SLI of system availability, batch deliverables

- Respond on time to the queries raised by various business units

- Provide timely updates regarding production status and progress of issue resolution

- Fine tune applications and systems for high performance and higher volume throughput

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to IT standards

- Perform impact analysis of enhancements/projects that will impact supported systems

- Identify the underlying problems, analyse the root causes, provide possible solutions/fixes, and respond to users within SLA

- Support relevant software/platform/database upgrade for the systems

- Work with delivery team for smooth transition from projects/enhancements to BAU Mode

- Incident, problem, and service outage management experience

- Participate in Disaster Recovery and Business Continuity exercises

- Able to support relevant software/platform/database upgrade for the systems

- Server Performance, capacity, utilization monitoring and Health monitoring

- Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes

- At least 3+ years of relevant experience in banking/financial services industry

- Experience with Teradata FSLDM and data mapping

- Hands-on technologist, strong in SQL, UNIX and Teradata tools and technologies

- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)

- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage

- Experience in Performance Tuning on Teradata or other MPP data pipeline

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus

As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.

RESPONSIBILITIES

• Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
• Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
• Design, build and launch new data models and visualizations in production, leveraging common development toolkits
• Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
• Support existing processes running in production and implement optimized solutions with limited guidance
• Define and manage SLA for data sets in allocated areas of ownership

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 2+ years of work experience in data engineering
• Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

PREFERRED QUALIFICATIONS

• Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
• Experience working with terabyte to petabyte scale data

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.

• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.

• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.

• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.

• Monitor and optimize data workflows for performance, reliability, and scalability.

• Document data processes and ensure best practices in data engineering are followed.

• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.

• Proficiency in Elasticsearch for search and analytics applications.

• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Strong SQL skills and experience with relational databases.

We are seeking a dynamic and experienced People Analytics Specialist to join our team. The role will be responsible for transforming data into meaningful insights and recommendations for our data-driven decision-making in HR. The role will also engage with business, leaders and data scientists to elevate the use of HR data analytics, by developing and implementing analytics solutions that support HR strategies and initiatives.

Key Responsibilities

• Gather, organize, and analyze employee data across various HR systems to provide actionable insights.
• Create and maintain HR dashboards and reports and answer "How To" questions.
• Leverage statistical and predictive modeling techniques to identify workforce trends and forecast future talent needs.
• Engage and collaborate with business and HR leaders to understand their needs on data-driven insights by leading and facilitating discussions with them, consolidating inputs and providing recommendations on applying people analytics.
• Address strategic HR needs such as employee engagement, talent identification and retention, skills assessment, workforce planning etc. through people analytics
• Thoroughly explore and utilize product features of Visier, a People Analytics platform, including GenAI, Large Language Model (LLM), and training/finetuning of the capabilities.
• Manage roll-out activities such as training sessions and "Office Q&A" sessions.
• Update visuals and narrations in storyboard.
• Address users’ queries to gain deeper insights into the data.
• Stay updated on industry trends and best practices in People Analytics to continuously enhance HR strategies and reporting.

Requirements

• Bachelor’s degree in human resources, Data Analytics, Business Administration, or a related field.
• Proven experience in people analytics, including predictive analytics that supports HR metrics and strategic initiatives.
• Previous experience in creating and managing dashboards and visual representations of data via data visualization tools and/ or HRIS systems, along with strong Excel skills for data manipulation.
• Excellent interpersonal and communication skills, with the ability to lead discussions and present data-driven insights and recommendations to stakeholders.
• Strong analytical and problem-solving skills with attention to detail.
• Proficiency with Visier and its various features, including the GenAI and LLM capabilities will be an added advantage.

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

Description:

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.

• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.

• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.

• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.

• Monitor and optimize data workflows for performance, reliability, and scalability.

• Document data processes and ensure best practices in data engineering are followed.

• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements:

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.

• Proficiency in Elasticsearch for search and analytics applications.

• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Strong SQL skills and experience with relational databases.

• Extensive knowledge garnered working as a Data Centre Operator.

• Thorough knowledge of Data Centre Operations with strong knowledge of Operations methodology.

• Experience in eyeball checking of system faults and failures

• Good technical knowledge on Data Centre monitoring tools.

• Possess an in-depth knowledge of data centre infrastructure technology and components for installation.

• Strong written and excellent communication skills.

• People who are ready to do individual contribution and can able to join within 30 day would be preferable

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Azure DataEngineer. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB TYPE:

ITEM SKILLSETS

Business Understanding

· At least (3) years of relevant experience in:

· Business Requirement Analysis

· Business Process and System Understanding

· Effective Communication with both business and technical users

Azure Data Engineering

· At least (2) years of hands-on experience as Azure Data Engineer using:

· Azure Data Factory

· Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

Data Ingestion & Modelling

· At least (3) years of hands-on experience in

· Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing

· Implementing Data Quality validation

· Good to have following skills

· Knowledge of Azure Databricks

· Data modelling in Azure Analysis Services using star and snowflake schema.

· Knowledge of writing DAX query to create measures & dimensions.

· Python Coding Experience

To submit your application, please apply online or share the updated cv to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Khalid Farooq

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy.

Job Summary:

An exciting opportunity for Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation cloud-based data platforms.

Mandatory Skill-set:

• Degree in Data Engineering, Computer Science, Information Technology;
• At least 5 years of experience in data engineering and modelling;
• Strong hands-on exposure in data science, data analytics and / or data engineering;
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage;
• Have experience with Big Data platforms such as Hadoop, Spark, and NoSQL databases;
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
• Good understanding in using cloud technologies such as AWS, Azure, and Google Cloud;
• Experience with orchestration frameworks such as Azure Data Factory, Airflow;
• Proficiency in programming languages such as Python, R, Java, or Scala;
• Familiarity with building and using CI/CD pipelines;
• Familiarity with DevOps tools such as Git, Terraform, Git;
• Strong hands-on exposure with ETL Extract, Transform, Load tools;
• Possess strong written and verbal communication abilities, effectively conveying information to various stakeholders.

Desired Skill-set:

• Experience in designing, building, and maintaining batch and real-time data pipelines;
• Experience with Databricks or Snowflake.

Responsibilities:

• Work closely with the various team in architecting, designing and building ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products; ensure maximum database uptime;
• Monitoring of databases and ETL systems for database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence;
• Construct, test, and update useful and reusable data models based on business data needs;
• Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures;
• Assist to maintain master data catalogue to document data assets, metadata and lineage;
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data;
• Involved in managing production services that provide analytics capabilities to our various data users across the division.

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the Team

Nuverse is a gaming business unit in ByteDance. The Game Technology team is playing a significant role in the whole life cycle of the game. We are responsible for the development, testing, operation, SRE, and quality assurance of the user and operating system, and give strong support for game developing and publishing. Providing comprehensive and systematical solutions, support the good operation and commercialization of the game. Responsible for the design and implementation of the deployment architecture of the game's overseas game business, and ensuring the good operation of online services.

Job Description:

1. Participate in the construction and operation and maintenance of offline and real-time data warehouses for game business;

2. Participate in the optimization of the data ETL process and solve ETL-related technical problems;

3. Participate in data governance work under complex data link dependencies and multi-data content ecology;

4. Relying on ByteDance's big data solutions, quickly implement data solutions in the business.

Qualifications

Minimum Qualifications：

1. Bachelor's degree or above in computer-related majors, with more than 4 years of big data-related work experience;

2. Master most of the big data-related technologies such as Hive, Yarn, Spark, Flink, Kafka, HBase, understand their principles and be able to complete performance tuning;

3. Proficient in using HQL, and master at least one of Python, Java, Scala, and GO;

4. Familiar with the Linux operating system and proficient in Shell programming;

5. Be proactive at work and be able to independently analyze and solve problems;

6. Be responsible, have good communication skills and teamwork ability;

Preferred Qualifications:

1. Experience in the gaming industry or managing platform-type internet products will be an advantage.

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

Balyasny Asset Management (BAM) is a global, multi-strategy investment Firm with over $21 billion in assets under management. We are a diversified business, with global breadth and depth. Our Firm has a clear mission: To consistently deliver uncorrelated returns in all market environments. Today, BAM employs more than 160 portfolio managers and 1,200 investment professionals across 19 offices in the U.S., Europe, the Middle East, and Asia. We are active across six investing strategies: Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity. We also have a dedicated private investment team, BAM Elevate, and a standalone equities unit, Corbets Capital.

As a Data Scientist on our Applied AI Team at BAM, you will:

• Work collaboratively with senior AI engineers and quantitative researchers to research and build AI systems
• Devise and develop AI solutions that leverage cloud-based data and distributed computing technologies
• Assist with managing the AI software development cycle including setting up and maintaining CI/CD pipelines
• Provide support for the system and be proactive in resolving issues in a timely manner
• Work as part of a globally distributed yet close-knit team. Be an active participant in feature brainstorming, technical design sessions, code reviews, and general interaction
• Create software that is well-commented, well-understood, well-tested, and well-documented: Quality above all!

To be considered a good cultural fit, you must be:

• An ambitious self-starter
• Driven, self-motivated, and creative
• Hungry to learn
• Driven towards success
• A very strong and efficient communicator
• Able to multi-task and excel in a fast-paced trading environment
• A problem solver; able to develop quick and sound solutions to complex problems
• Humble, self-aware, and willing to risk pushing back to make the team and others better

To be considered a good technical fit, you must have:

• Postgraduate degree in a quantitative discipline such as Computer Science, Data Science, Statistics or Mathematics
• 3+ years of professional experience developing high quality Data solutions and products as an individual contributor
• A passion for data and AI, and experience harnessing that passion to educate others
• Strong knowledge of AI engineering best practices, object-oriented concepts, and the ins and outs of data-focused development
• Expert in Python (including its data wrangling and machine learning libraries)
• Solid understanding and demonstrable experience applying natural language processing, large language models and machine learning to solve real business problems
• Familiarity with a wide variety of LLM architectures, including the GPT, Llama, Mixtral and Claude models
• Experience customizing LLMs for specific applications using fine-tuning techniques, (e.g. PEFT), RAG and prompt engineering is big plus
• Experience evaluating and benchmarking LLMs using frameworks such as Arthur Bench is big plus
• Experience with the entire AI software development cycle from design to deployment e.g. using frameworks such as LangChain is a big plus
• Experience with basic DevOps techniques, including CI/CD and infrastructure-as-code
• Experience working in at least one cloud environment. Familiarity with AWS is a big plus

Bonus points for:

• Research publications in leading journals and presentations at internationally renowned conferences
• Teaching experience and the development of training material for AI use-cases
• Experience developing models for named-entity recognition
• Financial industry experience, though this is not required for the role

Don’t have all the skills listed above? Have extra skills you think are important that we haven’t thought of? Please, let us know by applying and telling us a bit more about yourself and why you think you’re qualified!

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 143 countries and territories with more than 273,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.

Job Description

At KPMG, your long-term future is every bit as important to us as it is to you. That’s why our aim is to give you experiences that will stay with you for a lifetime. Whether it’s great training and development, working across functional sectors, mobility opportunities or corporate responsibility volunteering activities – you’ll gain a wealth of experiences on which to build a rewarding career. We’re proud of our culture – it’s one that recognises hard work, encourages new ways of thinking and embraces diversity and inclusion. We have an innovative spirit which inspires what we do and how we do it – striving to be better lies at the heart of who we are.

KPMG Cybersecurity professionals assist clients to address their concerns around Confidentiality, Integrity, Availability and Privacy of their technology, business systems, and information assets. Using a holistic view of how Technology and Business integrate, the Cyber team performs technology-risk focused assessments, technology compliance, IT/operational process reviews, and design of information risk & cyber security solutions.

Cyber team members regularly interact with C-Suite clients, such as Chief Executive Officer (CEO), Chief Information Security Officer (CISO), Chief Information Officer (CIO), Chief Operating Officer (COO), Chief Risk Officer (CRO) and their direct reports. Hence, a client centric mind-set, understanding of IT within a Business context, and well-developed communication skills are desirable.

The role involves:

• Engage with client stakeholders on Data protection Projects.
• Providing in-depth expertise of Data protection.
• Conducting discovery workshops for customers to understand their data protection measures and recommend improvements to their security posture.
• Work with customers to plot their cloud journey and advising them on their overall data protection requirements based on their data landscape.
• Working with KPMG Project and Customer resources to continue design and deployment activities and further enhance Data protection solutions for our customers.
• Working with customers and leading data protection vendors to design and build creative solutions.
• Working with team members, you will design and/or build solutions within large transformations, and you will perform reviews, assessments and build strategies for organizations looking to invest in Data protection.
• Assisting the engagement manager with the planning and delivery phases of engagements.

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The ideal candidate should possess:

• Bachelor’s degree in Computer Science, Computer/Electrical Engineering, Information Technology or equivalent.
• A highly motivated individual in information security and excellent communicator with strong analytical and good problem-solving skills.
• Minimum 5 years of relevant experience working on Data protection technologies: Forcepoint, Proofpoint, Varonis, Zscaler, MSFT Purview
• Good understanding of Security strategy, assessment, and design and implementation and governance frameworks over processes, controls, organisation and infrastructure.
• Proven technical knowledge in Data Governance, Data classification, Data loss prevention, Insider threat, Data encryption, CASB etc.
• Good understanding of cloud platforms like Microsoft Azure, Google and AWS.
• Proficient in PowerShell and Python
• Strong understanding and hands-on experience with Windows OS, including Active Directory and DNS.
• Understanding of creating and managing virtual machines, EC2 instances, VNETs, VPCs, and access control management.
• Experience in implementing and managing firewalls, VPNs, and intrusion detection/prevention systems.
• Ability to respond to security incidents, conduct root cause analysis, and implement corrective actions.
• Familiarity with industry standards and regulations such as GDPR, HIPAA, or ISO 27001, Personally Identifiable Information (PII) ensuring compliance in security practices.
• Excellent business analysis experience in requirements gathering, modelling use cases and experience in business development in supporting new business offerings.
• Any relevant industry related certification will be preferred (e.g. CISSP, AWS , AZURE , Data protection product certifications etc.)

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.

• Three (3) years of working experience in Data Centre Engineer Operations experience;
• Certified Data Centre Facilities Operations Manager (CDFOM) or equivalent; and ITIL v4 Foundation Certification or equivalent
• Work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.
• Ensure the network cabling in the data centre and within the racks are neat and tidy.
• Work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.
• Plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.
• Maintain up-to-date documentation of the data centre design layouts.
• Manage the physical security of the data centre in accordance with the guidelines provided by the Customer.
• Monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer:
• · Security Alarm and Security Card Access System; and
• · Closed-Circuit Television (CCTV)

Responsibilities:

As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies
strong MSTR knowledge

Job Description: Azure Data Engineer

We are seeking a skilled Azure Data Engineer with a minimum of 2 years of hands-on experience in Azure data services. The ideal candidate will play a critical role in designing, developing, and optimizing data pipelines and analytics solutions to support our organization’s data-driven initiatives.

Key Responsibilities:

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Implement and manage data integration and transformation workflows.
• Build, optimize, and maintain scalable data solutions using Azure Synapse Analytics or Azure Datawarehouse.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business objectives.
• Ensure data quality, consistency, and reliability across all data processes.
• Monitor, troubleshoot, and improve data workflows for performance and scalability.
• Stay updated on industry best practices and emerging Azure technologies to implement innovative solutions.

Requirements:

• Experience: At least 2 years of hands-on experience with Azure Data Factory and Azure Synapse Analytics/Datawarehouse.
• Certifications: Preferably holds a Microsoft Azure Data Engineer Associate certification or other relevant Microsoft certifications.
• Strong understanding of data integration, ETL/ELT processes, and data modeling.
• Familiarity with Azure cloud ecosystem and services (e.g., Azure Storage, Azure SQL Database).
• Solid experience with SQL for querying and managing data.
• Strong problem-solving skills and the ability to work independently or in a team environment.
• Excellent communication and interpersonal skills for effective collaboration with technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with data governance, security, and compliance in cloud environments.
• Knowledge of scripting languages (e.g., Python, PowerShell) for automation.
• Familiarity with big data tools and frameworks within Azure.

Senior Data Scientist

In view of business expansion, our client is seeking a Senior Data Scientist based in Singapore. The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals.

The Responsibilities:

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
• Interact with business stakeholders to understand business data and analytics requirements and identify data-driven business opportunities
• Responsible for explores information from multiple diverse sources, analyzing data and gain insights into business intelligence that is actionable
• Identify and uncover new opportunities, insights, trends, and patterns from analysis to key stakeholders/decision-makers
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Deploy ML models into production (either alone or working with data engineers if necessary)

The Requirements

• Degree in Computer Science, Computer Engineering or a related field
• Over 5 years expertise in Data Science
• Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
• Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
• Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
• Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
• Data-oriented background in SQL, data wrangling and data modelling
• Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
• Familiar with deploying Data projects into cloud (e.g Azure, AWS, GCP)
• Team player with good interpersonal and problem solving skills.
• 2 positions available

Office Location: East

Kindly indicate your current/last salary details and also your notice period

Interested candidates kindly forward your CV to [email protected] (Dorothy Ma Li, Reg No: R1769176). Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

To ensure the DC and equipment are in functioning and operational condition, report if there is equipment fault.

- To assist to perform site preparations and liaise with the relevant vendors on tasks such as IT rack mount plan, structure network cabling system, power supply and electrical wiring, air-conditioning, UPS and etc when required.

- To plan, coordinate and execute any shutdown and power up machines (according to operation manual and SOP) when required by the Customer, to facilitate the activities related to electricity, power maintenance and enhancements. The service shall include polling the possible affected parties, obtaining the approval from the Customer’s Representative and sending out the broadcast messages.

- To ensure that all trouble-shooting, upgrade, maintenance work and any other activities that affect data centre availability must be carried out after operating hours and/or over the weekend at no additional cost to the Customer. All urgent faulty parts replacement of the equipment shall seek approval from the Customer’s Representative. The list of warranty and/or maintenance contract and documentation is covered under Server Management Services.

- To ensure all technical and operational issues, that will affect the daily operations of data centre, be resolved within the stipulated Service Levels.

- To advise and propose improvements to the current processes or procedures for better efficiency and to improve the security of the data centre. However, such proposals shall be subjected to the review and approval of the Customer.

- To monitor the environmental equipment in the Data Centre to ensure that they are within acceptable operating level and take corrective actions to rectify any defects affecting the following:

o Main and Backup Incoming Power Supply

o Uninterruptible Power Supply (UPS)

o Cooling System (Air-conditioning) and Leakage Detection

o Temperature and Humidity

o Rack Space

o Network Data/ Telecom Cabling

o Fire Protection and Fire Alarm System Status

o CCTV and Motion Detectors

o Cleanliness and Tidiness

o Equipment Movements and Storage Management

o Secure Disposal of Media and Documentation

- To take pre-emptive measures to prevent any outage or single point of failure in the Data Centre due to environmental factors. This shall include monitoring of environmental equipment and follow-up with the Customer’s sub-contractors or building management to ensure that defects are identified and corrected.

- To ensure that all equipment in the Data Centre is serviced in accordance with the equipment servicing schedule.

- To provide 1st level onsite problem identification, problem reporting and vendor support after operating hours at no additional cost to the Customer in the event that any environment element fault alert is triggered after the operating hours.

- To liaise with the Customer’s Building Management Unit (BMU) at the Customer’s sub-contractors for the maintenance and servicing of the equipment in the Data Centre:

o Power Supply

o UPS

o Cooling System (Air conditioning) and Leakage Detector

o Fire Protection System

o CCTV and Motion Detectors

- To liaise and coordinate with the Customer’s appointed third-party vendors for the servicing of computer equipment hardware.

- To document and track all equipment in the Data Centre. The format of documentation shall be approved by the Customer.

- To establish capacity plans by analyzing current Data Centre resources based on current load and information given by the Customer on future growth requirement.

- To carry out annual capacity planning for the Data Centre at dates mutually agreed by the Customer, so as to project the requirements of UPS, power points, network, rack space and other Data Centre peripherals resources needed.

- The capacity plan report shall be submitted to the Customer within TWO (2) weeks upon the completion of planning.

Requirement – DC Operations

Shall provide Data Centre (DC) operations at the Customer’s premises and premises identified by the Customer. The DC Operations shall cover the following:

1. DC Environment Support; and

2. DC Facilities Management Services.

DC Environment Support

Shall monitor the facilities infrastructure in the DC to ensure that they are within the operating levels defined by the Customers. The infrastructure to be monitored shall minimally include:

(a) Power infrastructure (such as Uninterrupted Power Supply and power distribution boards);

(b) Cooling Infrastructure (such as computer room air-conditioning units);

(c) Fire detection and suppression systems (such as FM200, water sprinklers, fire extinguishers);

(d) Environment monitoring system (such as humidity and temperature); and

(e) Water leakage detection.

(f) Shall ensure the DC infrastructure is monitored on twenty-four (24) hours a day, seven (7) days a week, inclusive of Saturdays, Sundays and Public Holidays.

(g) The Vendor shall inform the Customer within one (1) hour when problems are detected.

(h) Shall work with the Customer and Customer-appointed Supplier to resolve any infrastructure issues detected in accordance to the support hours as required by the Customer.

DC Facilities Management Services

(a) Shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier.

(b) Shall work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.

(c) Shall ensure the network cabling in the data centre and within the racks are neat and tidy.

(d) Shall work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.

(e) Shall plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.

(f) Shall obtain the Customer’s approval before finalizing the plan for any activity.

(g) Shall provide on-site support during the maintenance activities unless otherwise agreed by the Customer.

(h) Shall maintain up-to-date documentation of the data centre design layouts.

(i) Shall manage the physical security of the data centre in accordance with the guidelines provided by the Customer.

(j) Shall monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer:

· Security Alarm and Security Card Access System; and

· Closed-Circuit Television (CCTV).

(k) Shall ensure that only authorised personnel are allowed to access the DCs.

· The Vendor shall ensure that all visitors to DCs are escorted during their activities on-site.

· The Vendor shall ensure that the visitors record their activities in the on-site log.

Requirement – DC Operations

Minimum Requirement:

The Vendor shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier. The DC Operator shall possess minimally the following skill sets:

(a) Three (3) years of working experience in Data Centre Engineer Operations experience;

(b) Certified Data Centre Facilities Operations Manager (CDFOM) or equivalent; and

(c) ITIL v4 Foundation Certification or equivalent