YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other company experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

Qualifications:

• Graduate in computer engineering / computer applications
• 6-8 years of professional software development experience as a Big Data Engineer or similar role (with Overall IT experience of 10+years)
• Strong oral & written communication
• Banking / Cards (Debit / Credit) / Payment Domain Knowledge is must
• Experience in Financial Risk & Compliance domain or in Anti Money Laundering is preferred
• Strong knowledge in Big data tools like Hive, Spark and Scala.
• Prior experience in Oracle SQL, PL/SQL and Unix Scripting.
• Effective stakeholder management with strong technical and business understanding in banking domain
• Hands-on experience with Bitbucket, Jenkins, TeamCity, Sonar Cube, Bitbucket, etc.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

Job Description:

-Design and implement scalable data pipelines to collect, process, and store large volumes of structured and unstructured data.

-Ensure data quality, integrity, and consistency across various data sources.

-Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.

-Integrate data from multiple sources, including databases, APIs, and third-party data providers.

-Build and maintain big data infrastructure using technologies

-Optimize data storage and retrieval processes to improve performance and reduce costs.

Requirements:
-Bachelor's or Master's degree in computer science, software engineering, or a related field.
-Proven experience as a Big Data Engineer or similar role.
-Experience with big data technologies such as Hadoop, Spark, Kafka, Hive, HBase, etc

-Proficiency in programming languages such as Python, Java, or Scala.
-Strong knowledge of SQL and NoSQL databases.
-Knowledge of machine learning and data analytics.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Company Introduction

ByteBridge is a widely trusted innovator of IT services, including data center, enterprise IT, and unified communications. ByteBridge was founded by a team of passionate dedicated experts with a vision to achieve customer success through technology enablement. We bridge the technical gaps to help enterprises' vision come true and expand their business on a global scale. To date, ByteBridge has been trusted by some of the world's leading

Key Responsibilities

• Lead and manage Data Center infrastructure projects, ensuring alignment with client goals and business needs.
• Oversee all project activities, including resource allocation, procurement, and scheduling, to ensure timely and efficient execution.
• Supervise project teams, ensuring collaboration across various departments and external vendors to meet project objectives.
• Serve as the primary point of contact for clients, providing regular updates on project progress, risks, and resolutions.
• Manage scope changes, ensuring alignment with client requirements, project timelines, and budgets.
• Proactively identify project risks and develop mitigation strategies to minimize impacts on timelines and budgets.
• Manage project budgets and schedules, ensuring resources are allocated appropriately and projects stay on track.
• Work closely with the Procurement team to manage vendor relationships and ensure timely delivery of resources.
• Maintain accurate project documentation and prepare regular reports and presentations for stakeholders.

Required Skills and Experience

• Strong background in managing Data Center projects, including infrastructure setup (rack and stack, power/cooling, network setup).
• Familiarity with Data Center technologies such as server hardware, storage systems, network devices, and virtualization platforms.
• In-depth understanding of project phases from initiation to handover, with a focus on execution and delivery.
• Proven leadership skills with the ability to coordinate teams, resolve conflicts, and communicate effectively with clients and stakeholders.
• Experience in managing risks and scope changes to maintain project alignment with client needs and timelines.
• Skilled in managing project budgets, schedules, and resources.

Job Title: Data Center Operator
Shift Allowance: $10 (Day Shift), $20 (Night Shift)

Key Responsibilities:

1. Security Clearance and Access Management:Process vendor and visitor security clearances for data center (DC) access.
   Escort vendors and visitors within the DC premises.
   
2. Alert and Incident Management:Monitor and respond to alert notifications, particularly after office hours.
   Raise incidents in the IT Service Management (ITSM) system and track them until closure.
   
3. Maintenance Support:Assist in monthly, quarterly, and yearly maintenance activities, including building management tasks such as power shutdowns, air conditioning, and UPS maintenance.
   
4. Hardware Management:Coordinate and support hardware disposal, including hard disks, media, and backup tapes.
   Load and unload backup tapes and prepare them for off-site transfer.
   Maintain and update hardware inventory and rack systems.
   
5. Monitoring and Reporting:Conduct daily checks to ensure data center temperature remains within acceptable levels.
   Identify and report unusual device behavior, such as abnormal blinking lights or sounds.
   Prepare and submit daily and monthly reports for customers.
   

Requirements:

• Strong attention to detail and ability to work effectively in a shift environment.
• Basic understanding of data center operations and IT infrastructure.
• Excellent communication and coordination skills for working with vendors and internal teams.

The primary objective of this role is to deliver comprehensive operational support for Data Platforms, ensuring their reliability, performance, and availability. The individual in this role will be responsible for managing and maintaining data platform infrastructure, monitoring system health, and addressing any technical issues to minimize downtime and optimize efficiency.

Responsibilities :

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Work closely with product vendors to design, deploy and integrate different data platforms with the organization’s ecosystem.
• Ensure that the deployed platforms follow the IT security and compliance policies.
• Establish processes and develop monitoring mechanisms to detect the availability of the platforms.
• Perform testing on the deployed data platforms.

Qualifications:

• Degree in Computer Science or equivalent.
• 5 years’ experience as a platform support engineer or a software / data engineer.
• Working experience of application implementation to implement new platforms.
• Familiar with application integration using RDBMS.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment, and familiar with Shell scripts and command line tools.
• Knowledge of data integration and data visualization platforms such as Informatica / Tableau / Power BI.
• Good team player, with strong analytical skill and enjoy complex problem solving with innovative ideas.
• Good communication/people skills and able to interact with data analysts, business end-users and vendors to design and develop solutions.

Advantageous experience includes:

• Java, Python
• Snowflake, Oracle, MS SQL, Denodo
• AWS services
• Agile methodologies like Scrum and Kanban.
• Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.

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

Job Reference: Alfa Agahari JN -122024-47076

EA Registration No.: R22110376, Blassius Alfa Putra Agahari

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Zenith Infotech (S), a Tech Recruitment firm with 28 years of presence in Singapore, is looking out for Data Platform Engineer to be supporting our client's project.

Canddiate whom are open for 12 months contract to start with, are most welcome to apply here or email to [email protected]

Job Scope :

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements:
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components would be highly advantageous
• Relevant computing/distributed/big data system experience (Hadoop/HDFS /Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.) would be advantageous
• Good data structure and system design skills highly preferred
• Good knowledge of information security highly preferred

We are looking for a Data Control engineer with experience in Data management, Good knowledge in writing queries to extract the data, automate the report generation through reporting tools .

Requirements:

1.Understand the data requirements from various departments

2.Extract data from database by writing queries and share the reports with the stakeholders

3.Automate the frequently used data reports using the Reporting tool and provision the secured access to stake holder on the reports

4.Manage Database backup and restore

5.Ensure data security

6.Capacity planning and Database finetuning from time to time to increase DB performance

Roles:

• To perform daily backup monitoring and take action to have recovery solution in place.
• To Manage the database availability and performance, including incident and problem management.
• To work with Major Incident Management (MIM) team to resolve and co-ordinate high critical issues.
• To carry out periodical production patch and upgrade management.
• To work closely with users and vendors to take timely and appropriate steps to resolve and troubleshoot issues impacting service levels.
• To Identify opportunities for process improvements, automation, and efficiency gains in database operations.
• To Implement best practices and innovative solutions to enhance system reliability and performance.

Preferred Qualifications:

• Diploma/Degree in Computer Science or Engineering equivalent.
• At least 2-4 years of relevant working experience as a Database Administrator or relavant engineering experience within similar capacity operations.
• Must have familiarity with at least 2 database SAP tools,SQL, ...
• Experience in 24x7 support for critical production systems, scheduled maintenance, and release deployment activities.
• Excellent problem solving skills.
• Good Software application experience.

Responsibilities and Requirements :

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 7 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 modelling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Speciality, AWS Certified Data Analytics - Speciality), Databricks certifications, and Informatica certifications are a plus

Job Description

• Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Technical expertise in:
  • Relational/non-relational/NoSQL database and enterprise data warehouse/mart;
  • Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.
  • Data ingestion technologies e.g. Flume, Kafka, NiFi etc. and
  • Scripting, programming and software development using e.g. Java, C/C++, Python, R, MATLAB, Scala, SQL etc. for Windows or Linux environments.
• Experience in master data management, data governance, data lifecycle management etc
• Experience in designing, documenting, implementing and supporting data management solutions
• Experience in using software engineering best practices in development, programming, testing, version control etc.
• Knowledge of data privacy and security assurance
• Knowledge of machine learning, computer vision and large languagemodels will be advantageous.

Soft Skills

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

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Key Responsibilities:

• Design and implement algorithms to process and analyze large-scale datasets.
• Build, fine-tune, and optimize large-scale models using frameworks such as LoRA (Low-Rank Adaptation) and DeepSpeed.
• Collaborate with cross-functional teams to integrate AI workflows using AIFlow.
• Develop and optimize data pipelines and workflows using Apache Spark.
• Write and execute complex SQL queries to analyze structured and unstructured data.
• Perform exploratory data analysis (EDA) and create insightful visualizations.
• Develop and maintain Python-based scripts and applications for data processing and automation.
• Work with large-scale datasets to ensure data quality and integrity.
• Document processes and findings to support informed decision-making.

Requirements :

• Knowledge or academic experience with algorithms and their implementation.
• Hands-on experience with frameworks such as LoRA, DeepSpeed, or similar AI tools (academic or project-based experience is acceptable).
• Familiarity with Spark and distributed data processing techniques.
• Proficiency in SQL for data analysis and querying.
• Programming skills in Python, with a focus on data manipulation libraries (e.g., Pandas, NumPy).
• Understanding of handling large data volumes and related optimization techniques.
• Exposure to data visualization tools like Tableau, Power BI, or Matplotlib.
• Basic knowledge of machine learning frameworks such as PyTorch or TensorFlow.
• Familiarity with data versioning tools and workflow orchestration frameworks.
• Strong analytical thinking and problem-solving abilities.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

• 5+ years of Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new Data and AI opportunities, and build proposals and pitch materials to position as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their data maturity
• Evaluate and recommend appropriate data pipelines, frameworks, tools and platforms
• Lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy PoCs and pipelines
• Have experience with big data frameworks on prem and on cloud
• Collaborate with AI architects and engineers to data scientist and develop Data and AI solutions tailored to the clients’
• requirements
• Lead integration and deployment of data and AI products
• Stay updated with the latest advancements in big data and GenAI along with best practices to develop thought leadership and PoV
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of big data technologies, streaming applications and data modelling

• 8 - 10 years of IT Security experience in administration and management of IT Security technologies primarily Symantec Data Loss Prevention, Symantec Endpoint Protection, Data Classification and other endpoint & data security solutions;

• Knowledge of different domains of IT Security;

• Working & hands-on experience in administering the IT Security Solutions;

• Must have experience in working in similar Production setup in Run (Operations) mode;

• Ability to apply risk based approach while working on assigned responsibilities;

• Experience in defining, implementing, and enforcing enterprise-level IT security policies for endpoint and data security solutions;

• Must have working experience in managing endpoint security solution for a Large enterprise level environment, working experience in financial organization is preferred;

• Excellent in analytical, communication and documentation skills;

• Ability to organize work and be able to priories work as per the needs of Production Operation’s needs;

• Must have strong understanding of ITIL processes and comfortable working in process oriented environment;

• Ability to work independently and as well as a part of team and is able to work under minimal supervision;

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring QlikSense professionals to handle BI Development end-to-end, as well as to join us in our cause to help customers stay modern, ahead of the Technology curve!

Location: West (Tiong Bahru)

Roles and Responsibilities:

• Use SQL scripts to extract data from primary and secondary sources
• Develop dashboards and data visualizations to serve business needs using QlikSense
• Use Python scripts and QlikSense to clean, process, transform and visualize data
• Removing corrupted data and fixing coding errors and related problems
• Developing and maintaining data in databases, data systems – reorganizing data in a readable format
• Performing analysis to assess quality and meaning of data
• Filter data by reviewing reports and performance indicators to identify and correct code problems
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Preparing reports for stakeholders stating trends, patterns, and predictions using relevant data, with the aim of driving stakeholder action on their businesses/functions
• Building dashboards and curating data stories for use cases

Skills Required:

• Strong proficiency in Python scripting skill is essential
• Prior experience with QlikSense is essential
• Prior experience with QlikSense Data Load Editor is majorly advantageous
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Knowledge of at least one database tool such as MySQL, MS SQL and/or PostgreSQL
• Strong mathematical skills to help collect, measure, organize and analyze data
• Adept at queries with good communication and stakeholder management skills

• Design and implement methods, processes, and systems to aggregate and analyze diverse, unstructured data, providing actionable insights for management.
• Develop software programs, algorithms, and automation tools to clean, integrate, and analyze large datasets from multiple sources.
• Work closely with business experts to enhance data and uncover valuable insights to create practical solutions.
• Automate repetitive data tasks to streamline processes and minimize manual work.
• Create clear and effective data visualizations to communicate findings and recommendations to stakeholders.
• Stay informed on the latest developments and best practices in data science, machine learning, and AI.
• Assist the Global IFF Business Control team with various tasks and project requirements.
• Support administrative duties and handle ad-hoc tasks assigned by the Head of Department.

Requirements:

• Diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 1–2 years of experience in a data science role; experience in a similar industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Familiarity with data visualization tools like Power BI and the ability to effectively communicate complex analyses to non-technical stakeholders.
• Strong problem-solving and analytical skills, with the ability to translate business needs into data-driven solutions.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

Responsibilities:

• Develop and manage database solutions for storing and retrieving company information.
• Install and configure information systems to ensure functionality.
• Analyze and design structural requirements for new software and applications.
• Migrate data from legacy systems to new solutions.
• Design conceptual and logical data models and flowcharts.
• Improve system performance through testing, troubleshooting, and integration of new elements.
• Optimize both new and existing database systems.
• Define security and backup procedures.
• Collaborate with the Data Science team to identify future needs and requirements.
• Provide ongoing operational support.

Requirements:

• Proven experience as a Data Architect, Data Scientist, Data Analyst, or similar role.
• Strong understanding of database structure principles.
• Experience in gathering and analyzing system requirements.
• Knowledge of data mining and segmentation techniques.
• Expertise in SQL and Oracle.
• Proficiency in MS Excel.
• Familiarity with data visualization tools (e.g., Tableau, D3.js, R).
• Strong analytical skills.

You may submit your resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.
(EA Reg No: 20C0312)

ENGIE Services Singapore is a leading provider of Integrated Facilities Management solutions (IFM), property management, operations and maintenance, specialized rail engineering works, sustainable solutions and FM Consultancy services. With strong presence in various counties across South East Asia, we operate across mission-critical industries - aviation, transportation, healthcare, education, government and commercial.

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Job Description:

• Monitor, maintain and coordinate the operations of data centre electrical/ mechanical infrastructure and building monitoring systems.
• Conduct daily site inspections, record readings and data logging of data centre equipment to ensure proper operation and checklist verification.
• Provide 24X7 first level onsite response to any M&E incident accordingly to contractual obligation.
• Perform troubleshooting of mechanical and electrical equipment malfunctions and perform ad-hoc repair as and when necessary.
• Report operations abnormality and perform escalation with follow-up on improvement plan promptly.
• Create quotation, work orders, coordinate vendor/supplier repairs/replacement on the data centre sites.
• Adhere to data centre operations work rules, policies and procedures that include but not limited to emergency operating procedures (EOPs), emergency drill procedures, standard operation procedures (SOPs), methods of procedures (MOPs) incident management, maintenance management, vendor management and document control standards.
• Maintain proper documentation and service reports are filed and submitted to customers for auditing and tracking purposes.
• Plan the annual master planned preventive maintenance schedules and provide guidance for addition to, deletion or modification of existing maintenance routines.
• Maintain and monitor the appropriate key performance indicators (KPIs) and external service level agreements (SLA's) to measure and improve onsite operations
• Oversee the execution of planned maintenance works performed by appointed vendors/subcontractors to ensure maintenance meets satisfactory level and are in accordance with the signed contract agreement.
• Provide onsite support to customer requests, incidents, can change and problem management activities.
• Manage and handle ticket management and queue monitoring.
• Schedule weekly meetings with customer and its appointed subcontractors with proper minutes taken to review and discuss service levels, operational issues as well as planning for future work.
• Prepare customer weekly progress report and track status of deliverables.
• Prepare incident report accordingly to contractual service level agreement.
• Support yearly performance review session with customer.
• Coordinating all changes to the DC infrastructure that may affect the service levels of any other service areas within the DC premises.
• Accountable for all site inventory management such as tools, test equipment, replacement parts, materials, spare parts and consumables used and sorted at the site.
• Adherences to all quality, health & safety, environmental policies and customer house riles.
• Perform any other ad-hoc tasks associated with the maintenance, upgrading, repairs, addition or modification of the facilities, as instructed by the management.
• Ensure that all information security management system related policies, procedures and specified requirements are implemented and complied to.
• Any other tasks as assigned by the supervisor.

Requirements:

• At least a Post Graduate Diploma in Engineering (Electrical/Electronic), Engineering (Industrial), Engineering (Mechanical) or equivalent
• Minimum 3 years Data Centre facilities experience
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System
• Work independently with minimum of supervision
• Analytical and problem-solving skills
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting
• Proficient in Microsoft Office
• Has a good safety mindset and displays good WSH behaviour

• 5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new AI opportunities, and build proposals and pitch materials to position as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their AI maturity
• Evaluate and recommend appropriate AI frameworks, tools and platforms
• Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy AI products
• Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’ requirements
• Lead integration and deployment of AI solutions into customers’ existing infrastructure
• Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.)

Department: Data Engineering

Reports To: Consulting Manager/Project Manager

Location: Remote/Hybrid (Singapore)

About VASS

VASS is a global digital transformation company that puts organizations at the forefront of innovation, by bringing together talent, knowledge, and technology. With our digital solutions, we lead people and organizations around the world on their transition towards the future.

About the Role

We are seeking a highly motivated and skilled Snowflake Data Engineer to join our dynamic Consulting team. In this client-facing role, you will be responsible for leading and delivering successful Snowflake data warehousing and data engineering projects for our diverse clientele. You will work closely with clients to understand their business requirements, design and implement robust data solutions, and ensure successful project delivery.

Responsibilities

· Lead and deliver end-to-end Snowflake implementation projects, including data discovery, data modeling, data integration, data quality, and performance optimization.

· Work closely with clients to gather requirements, understand business needs, and translate them into technical solutions.

· Design, develop, and implement data pipelines using Snowflake and other relevant technologies (e.g., Python, SQL, APIs) to extract, transform, and load (ETL) data from various sources into the Snowflake data warehouse.

· Optimize data models and queries for performance and efficiency within the Snowflake environment.

· Develop and implement data quality checks and monitoring processes to ensure data accuracy and integrity.

· Troubleshoot and resolve data-related issues and performance bottlenecks.

· Participate in the design and implementation of data security and governance best practices within the Snowflake environment.

· Guide clients on best practices for data warehousing, data engineering, and Snowflake utilization.

· Develop and maintain CI/CD pipelines for Snowflake data pipelines and ETL processes.

· Provide knowledge transfer to clients. Prepare and deliver presentations and reports to clients.

Qualifications

• Bachelor’s degree in computer science, Computer Engineering, or a related field.
• 3+ years of experience as a Data Engineer or a similar role.
• Strong experience with Snowflake data warehousing and its core features (e.g., SQL, data loading, data sharing, security).
• Proficiency in Python and SQL.
• Experience with data modeling and data warehousing concepts.
• Experience with ETL/ELT processes and tools.
• Experience with data quality and data validation techniques.
• Experience with data security and governance best practices.
• Experience with CI/CD principles and tools (e.g., Jenkins, GitHub Actions, Azure DevOps).
• Experience with integrating Snowflake deployments into CI/CD pipelines.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills
• Ability to work independently and as part of a team.

Benefits

· Competitive Salary

· Hybrid/Remote Working Model

· Competitive compensation package

· Comprehensive benefits package

· Opportunities for professional development and career advancement

· A collaborative and innovative work environment.

If you are a passionate and driven individual, we encourage you to apply and help us shape the future of enterprise software!

Please send your job application, along with a recent photo, to [email protected] . Kindly include your earliest available start date and both your current and expected salary. We look forward to hearing from you!

Qualifications

• 5 - 7 years of IT Security experience in administration and management of IT Security technologies primarily Endpoint Protection, Email Security and DLP, Data Classification and other endpoint & data security solutions;
• Knowledge of different domains of IT Security;
• Working & hands-on experience in administering the IT Security Solutions;
• Must have experience in working in similar Production setup in Run (Operations) mode;
• Ability to apply risk based approach while working on assigned responsibilities;
• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;
• Professional Certifications:
• CISSP certified
• Symantec Certified Expert: Administration of Data Loss Prevention (any version)

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

Zenith Infotech is a Tech Recruitment Company in Singapore for the past 27 years. We are looking for a suitable candidate for the above role

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements:
.DevOps and system engineers in Unix
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components would be highly advantageous
• Relevant computing/distributed/big data system experience (Hadoop/HDFS /Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.) would be advantageous
• Good data structure and system design skills highly preferred
• Good knowledge of information security highly preferred

Responsibilities:

• Act as the primary point of contact for business users, including Portfolio Managers and Traders.

• Provide end-to-end support for core business processes, including portfolio construction, order management, trade execution, confirmation, and settlement.

• Collaborate with stakeholders and development teams to gather, document, and translate business needs into technology requirements.

• Manage incident resolution, major incident handling, problem management, and change management activities.

• Support critical ESG governance initiatives through technology solutions.

• Maintain and update project tasks in JIRA, ensuring smooth workflow tracking.

• Develop advanced SQL queries and stored procedures, with exposure to Snowflake preferred.

• Perform data analysis and manipulation using Excel and/or VBA.

• Work with UNIX/Linux environments and create scripts using Perl, Shell, Python, or PowerShell.

• Understand the trade lifecycle for Equity, Derivatives, FX, and electronic trading (including FIX protocol and accounting).

• Configure and manage batch job scheduling tools like Autosys.

Skills and Experience:

• Experience with complex system integrations across multiple upstream/downstream applications.

• Familiarity with reporting tools (Crystal Reports, Tableau, Power Platform) and analytics tools (Dataiku).

• Exposure to monitoring tools like AppDynamics and Splunk, with experience setting up alerts.

• Understanding of Agile methodology and best practices.

Ikas International (Asia) Pte Ltd

“Sanderson-iKas” is the brand name for iKas International (Asia) Pte Ltd

EA Licence No: 16S8086 | EA Registration No. R1988468

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

Senior Data Engineer

In this role, you can expect to:

● Support the business’s goal of democratisation of data and data products.

● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting.

● Collaborate in partnership with diverse teams across such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and ORGANIZATION publications to deliver innovative and game changing data products and use cases.

● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

● Implement cloud-based scalable and reliable data pipelines at significant scale.

● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes.

You should be able to:

● Build and maintain streaming and batch data pipelines

● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts.

● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.

● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.

● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.

● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.

● Adhere and have practised Agile Methodology such as Scrum.

● Implement adhering to Master Data Management Best Practices and Principles.

● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.

It would be great if you had:

● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.

● Experience in data-related infrastructure deployments using Terraform Cloud.

● Experience in using Git for version and release management with knowledge in branching strategies.

● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.

● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.

● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.

● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

Job Responsibilities:

• Develop and implement database solutions to store and retrieve company data.
• Install, configure, and ensure functionality of information systems.
• Analyze and define structural requirements for new software and applications.
• Migrate data from legacy systems to new solutions.
• Design data models, flowcharts, and optimize system performance.
• Troubleshoot, conduct tests, and integrate new system components.
• Define security and backup procedures for database systems.
• Collaborate with the Data Science department to identify future data needs.
• Provide operational support for database systems.

Requirements:

• Proven experience as a Data Architect, Data Scientist, Data Analyst, or similar role.
• Strong understanding of database structures and principles.
• Experience in system requirements analysis.
• Expertise in data mining, segmentation, and SQL/Oracle.
• Proficient in MS Excel and data visualization tools (e.g., Tableau, D3.js, R).
• Strong analytical and problem-solving skills.

(EA Reg No: 20C0312)

You may submit your resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

Responsibilities:

• Develop and manage database solutions for storing and retrieving company information.
• Install and configure information systems to ensure functionality.
• Analyze and design structural requirements for new software and applications.
• Migrate data from legacy systems to new solutions.
• Design conceptual and logical data models and flowcharts.
• Improve system performance through testing, troubleshooting, and integration of new elements.
• Optimize both new and existing database systems.
• Define security and backup procedures.
• Collaborate with the Data Science team to identify future needs and requirements.
• Provide ongoing operational support.

Requirements:

• Proven experience as a Data Architect, Data Scientist, Data Analyst, or similar role.
• Strong understanding of database structure principles.
• Experience in gathering and analyzing system requirements.
• Knowledge of data mining and segmentation techniques.
• Expertise in SQL and Oracle.
• Proficiency in MS Excel.
• Familiarity with data visualization tools (e.g., Tableau, D3.js, R).
• Strong analytical skills.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)