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.

• 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.

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.

Job Description

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 for Cloud Data Engineer who has proven track record in IT Industry. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Cloud Data Engineer

Job Description: 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:

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

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

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

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

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

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

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

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

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

Requirements / Qualifications

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

• Minimum 4 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

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

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

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications, Databricks certifications, and Informatica certifications are a plus

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected] Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS:

Consultant Name : Seema Verma

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement:

We take your personal data protection seriously and adhere to both EU and local data protction regulations.

Upon submission of your CV, you grant Avensys Consulting permission to retain your personal information in our electronic database, unless you specify otherwise. This data will be used to evaluate your suitability for current and potential job openings within our organization. Should you wish to have your personal data removed at any point, a simple notification to us will suffice.

Rest assured, we will not disclose your personal information to any third parties, and we remain steadfast in our commitment to providing equal opportunities to all applicants.

Flexible Services from Pinsent Masons Vario provides legal professionals access to high-quality legal work with top-tier clients.

Our growing hub of legal experts have a variety of skills, specialisms and experience but they all enjoy quality legal projects best suited to their skillset and unparalleled support during their assignments.

We are now looking to expand our bench with an exceptional legal professional with experience in data privacy law.

As a legal consultant, you will need:

• Minimum 8 PQE in-house or within a law firm
• Experience in providing subject legal advice relating to the entire life cycle of personal data from collection to deletion
• Ability to liaise and collaborating on privacy legal matters with, particularly understanding global positions derived from the GDPR and advising when local APAC legal considerations apply
• Experience in online technology and AI is preferred

To join our hub, you need to demonstrate the following:

• Qualified lawyer with a strong academic background
• Top international law firm or equivalent in-house/secondment experience
• Flexible, communicative and adaptable
• Enthusiastic about embracing new work cultures
• Rapidly develop close, trusting relationships

To Apply, click on “Apply” and attach your latest CV. Alternatively you can contact our Account Executive, Rachel Lee at [email protected] for a confidential conversation.

5 days, Permanent, Paya Lebar

Our Client

Data Centre Builder , Data Center facility Management Company

Job scope

· Responsible for the management n implementation of data center building projects

· Plan and prepare work schedules when the project are awarded.

· Coordinate and manage work schedule, time line , progress with vendor and external contractor.

· Manage technical submission document and ensure technical drawing n material spec requirement are adhered to

· Regular site walk, Update client n company of project progress

· Resolve site issue with multiple parties

· Prepare n produce T&C report, SAT report and Test Script based on project/site requirement.

· Prepare and coordinate for Integrated Services Test (IST) with multiple parties before opening of data center

· Prepare operation n maintainence manual (OMM) and handover certificate.

Requirements

· Min Diploma in Electrical/Mechanical Engineering

· 3 years’ experience in data center M&E project management

Added advantage

· Proficiency with Authority and BCA Code of Practice.

Work location :Paya Lebar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

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

Passionate about making a real impact? Join our team at Nxera to unfold the new era! Be at the forefront of the data centre (DC) industry with a unique focus on sustainability, connectivity and AI which sets us apart as the next generation DC operator. You will also get to gain invaluable experience in a fast-growing industry that is powering the digitalisation wave. Be empowered to co-create the future with our dynamic teams!

Make an Impact by

DC Operations Management

• Ensure incidents are responded and attended to, or escalated for 2nd/3rd level resolution based on criticality, impact and SLA
• Lead BCP exercise and be the 1st level incident responder.
• Customer Request fulfilment and system management such as Electronic Visitation Management System
• Remote Hand support for – media management, visual inspection, reboot devices, staging room, physical connect/disconnect of HDD, network cable connectivity test, insertion of fire SFP
• Manage equipment movement, asset tagging, labelling and tracking
• Perform shift duty to support 24x7 DC Operations

DC Facilities Management

• Perform Event Monitoring for all Data Centre Facilities infrastructure to ensure Data Centre is in normal function both upstream and downstream (eg. UPS, power, temperature control, humidity, water detection sensor, etc.).
• Ensure all DC supporting infrastructure (i.e. Environment Monitoring System (EMS), Access Control Systems, Electronic Visitation Management System.etc) are functioning well.
• Update and maintain all DC related documentation, including reports generation where needed
• Coordinate with various stakeholders to fix the technical issues to provide timely support to customers.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Coordinate maintenance and shutdowns (eg. working with vendors for DC electrical and mechanical systems)

Incident / Change / Customer Management and other requirements

• Manage Incidents and Closure, including Root Cause Analysis on incidents
• Raise the necessary requests from such as Change Request or notifications requests to the customers as part of service maintenance
• Liaise with internal and external customers and ensure that customers’ contractual service level agreements are met
• Perform other duties such as access clearance, and participate in projects as required

Skills for Success

• Diploma Holders in Electrical & Electronics, Computer & Communications Engineering, Information & Digital Technologies. Alternatively, you have Technical education (e.g. ITE) with relevant 5 year working experience managing 24x7 DC Operations
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Good communication and people management skills.
• Team player who is also able to perform independently
• Well organized and able to reschedule priorities as circumstances change
• Good communication skills (both verbal & written)
• Analytical with good problem solving skills
• Positive attitude and Proactive

Rewards that Go Beyond

• Flexible work arrangements
• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Role

This position is expected to base in Singapore with focus in both presales and post-sales activities . He/she is expected to support senior to develop data privacy proposal or response to Request For Proposal (RFP) and support seniors in the implementation of the Data Privacy Framework or/and Data Privacy Management Software for the regional customers. This candidate can expect to acquire knowledge/experience of end-to-end ie from pre-sales to post-sales.

This candidate may from time to time being assigned project to carry out either the whole implementation or partial phases depending on the resourcing plan. This role is expected to be an integral part of the team to deliver quality implementation of our services to our customer.

Company Profile

CNAV Business Value is an organization with South-East Asia presence founded in year 2008. It has been partnering with globally recognized Data Privacy and Cybersecurity vendors such as Symantec, Trellix, Opentext/MicroFocus, Securiti Inc, Rubrik etc. Employees are constantly exposed to the leading-edge Data Privacy and Cybersecurity solutions that are undertaken by big enterprises.

CNAV is a Data Security and Data Privacy Solution Provider specialized in managing turnkey projects, providing services including but not limited to Data Security and Data Privacy based on business requirement with focus in complying to Data Privacy acts in SEA such as PDPA in Singapore, Thailand and Malaysia, PDPD in Vietnam and PDP Law in Indonesia.

Duties

The expected duties of this role are as follow:

1. Supporting Sales on crafting out solution proposals or response to an RFP
2. Furnish sales proposal with write-ups
3. Research on respective regulations if applicable
4. Present proposal to customer
5. Carrying out implementation of solution in whole or partial phases for projects
6. Develop framework, privacy policies, procedures and notices for customers
7. Assist Consultant in conducting workshops and aid in developing data inventory maps or records of processing activities
8. Carry out as a Business Analyst role for the implementation of the privacy product purchased by customer
9. Conduct training

Qualification

The expected qualification is as follow:

1. Diploma or Degree in either Business Administration, Banking or equivalent
2. At least 3 years of providing data privacy consulting or relevant experience especially some exposure in Singapore PDPA, Indonesia PDPL or EU GDPR will be an advantage
3. Meticulous in reading and crafting documents
4. Fluent in English
5. Ability to speak in other languages such as Bahasa Indonesia, Bahasa Malaysia or Vietnamese is advantage
6. Good interpersonal communication skill
7. Ability to work without supervision
8. Passionate about achieving customer satisfaction
9. Some interest in Information Technology and prepared to pick up new technology related to data privacy
10. No issue in traveling in SEA

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

We're a dynamic global sales and marketing powerhouse, partnering with top-tier clients to revolutionise their sales strategies and market dominance through exciting, face-to-face marketing initiatives.

We're on the hunt for fresh talent to nurture into future leaders within our industry. If you're hungry for success, our proven systems are tailor-made to propel ambitious go-getters like you!

Role

• Be the face of our clients, assisting with presentations and onboarding processes.

• Champion customer acquisition through engaging face-to-face interactions

• Take the lead on exciting marketing campaigns and projects

• Management roles with incentives! to lead a team and explore more potential campaigns

Benefits

• Gain invaluable exposure and skills that will level up your game

• Thrive in a positive, supportive team environment

• Step out of your comfort zone and into your potential

We are seeking a highly skilled Market Data Analyst Presales Engineer to join our dynamic team. In this role, you will play a pivotal role in driving sales by leveraging your deep understanding of market data and technical expertise. You will collaborate closely with the sales team to identify and qualify opportunities, conduct in-depth technical assessments, and deliver compelling product demonstrations.

Technical Expertise:

Develop a strong understanding of our products and services (Cryptocurrency, Investments, etc), including their technical specifications, capabilities, and benefits.

Stay up-to-date with industry trends, emerging technologies, and competitive landscapes.

Conduct in-depth technical assessments of client requirements and propose tailored solutions.

Contribute to the development of the investment strategy, focusing on emerging trends in Fintech and infrastructure.

Identify new areas for investment within the fintech space, particularly in Payment solutions and decentralized technologies.

Presales Support:

Collaborate with the sales team to identify potential opportunities and qualify leads.

Develop and deliver compelling product demonstrations, presentations, and technical proposals.

Address technical questions and concerns from prospective clients, providing clear and concise explanations.

Conduct proof-of-concept (POC) implementations and data analysis to showcase the value of our solutions.

Data Analysis and Insights:

Analyze market data to identify trends, opportunities, and potential challenges.

Leverage data analysis techniques to support sales efforts and provide valuable insights to clients.

Develop custom data analysis solutions to address specific client needs.

Required Skills:

Data Analysis, Market research, Presales

domain Skills:

Cryptocurrency, Investments, etc.

Portfolio management experience is preferred.

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Description:

A Databricks Engineer is responsible for leading the migration of on-premises data warehouses to Databricks, designing robust data architectures, and ensuring seamless data integration and governance. The role involves implementing cloud-based solutions, optimizing data workflows, and extracting insights while maintaining data security and compliance standards.

Key Responsibilities:

· Lead end-to-end data migration projects from on-premises environments to Databricks with minimal downtime.

· Design and implement solutions on Databricks within AWS environments, adhering to functional and non-functional requirements.

· Configure Databricks clusters, write PySpark code, and develop CI/CD pipelines for deployment.

· Apply optimization techniques like Z-ordering, auto-compaction, and vacuuming for enhanced performance.

· Process near real-time data using Auto Loader and DLT pipelines.

· Optimize AWS and Databricks resources for performance and cost efficiency.

· Stay updated with advancements in AWS, Databricks services, and data engineering practices to recommend improvements.

· Implement engineering methodologies, standards, and best practices.

Required Skills:

Experience:

· Minimum 5 years in data engineering, with expertise in Databricks, AWS/Azure services, or Informatica IDMC.

Technical Proficiency:

· Strong knowledge of Databricks, Python, PySpark, SQL, and NoSQL databases.

· Hands-on experience with Apache Spark, Hadoop, and cloud-based data architectures.

· Proficiency in building data pipelines using Python, Java, or Scala.

Data Management:

· Expertise in data modelling, schema design, and data governance.

Optimization Skills:

· Familiarity with techniques like Z-ordering and compaction.

Certifications:

· Databricks certifications and Informatica certifications (preferred).

Soft Skills:

· Excellent analytical, problem-solving, communication, and collaboration abilities.

Preferred Skills:

· Experience with containerization and orchestration tools like Docker and Kubernetes.

· Knowledge of data visualization tools like Tableau or Power BI.

· Familiarity with DevOps principles, CI/CD pipelines, and version control systems like Git.

· Understanding of data cataloguing tools and data governance, especially Informatica IDMC.

This role demands a proactive approach to implementing innovative solutions and optimizing workflows to ensure high-performance data engineering.