Benefits:

• 5days, Normal Working Hour
• MNC, West Area
• Good career progression

Job Scope:

• Implementing the commissioning process for Automated Guided Vehicles (AGVs) at workshops or customer locations.
• Assuring the optimal performance and reliability of AGVs, as well as the network and infrastructure at customer sites.
• Offering troubleshooting support to address any issues related to AGVs.
• Proactively monitoring AGV health and operations, intervening promptly to resolve faults and prevent disruptions to customer work operations.
• Providing technical guidance to customers on AGV usage and maintenance.
• Maintaining comprehensive and up-to-date records of AGV and site configurations, encompassing both software and hardware settings.
• Collaborating closely with internal engineering teams.
• Developing user manuals, customer guides, FAQs, application notes, and best practices.
• Cultivating strong relationships with all customer representatives.

Job Requirements:

• Diploma/Degree in E&E, ME, CS, Robotics & equivalent
• Experience in using Linux is preferred

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Khor Wan Ying (R22109948)

Summary:

• Attractive Remuneration Package
• MNC, Great Career Progression
• Training Provided
• 5 days, office hours
  

Responsibilities:

• Working closely with Engineer to performance maintenance, perform fault diagnosis, trouble shooting and maintenance of power system/component
• Performance general repair / preventive maintenance duties
• Report to superior and assisting in maintenance of workshop equipments
• Ad Hoc duties as assigned
  

Requirements:

• Entry Level are welcome to apply. Training will be provided
• Diploma in Electrical/ Electronics/ Mechanical/ Mechatronics/ M&E Engineer and related field

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

We regret that only shortlisted candidates will be notified.

StaffKing Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Benefits:

• Basic $3500 - $4500 for L2 infra support engineer
• Basic $2500 - $2800 for L1 desktop support engineer
• 5-day work
• Great career progression
• Listed company

Job Scope (L2 Infra Support Engineer):

• Administer and configure infrastructure systems (e.g., Active Directory, data centers, telephony, video conferencing) and network devices (firewalls, routers, VPNs).
• Monitor system resources, ensure backups and disaster recovery plans are effective, and apply necessary patches.
• Provide technical support to local and overseas users while ensuring security.
• Liaise with vendors to ensure Service Level Agreements (SLAs) are met.
• Draft and maintain technical documentation (admin guides, user guides).
• Lead or assist in IT projects, and provide L1/L2 support.

Job Scope (L1 Desktop Support Engineer):

• Providing day-to-day Level-1 IT support to both local and remote users.
• Deploying and troubleshooting various devices including PC, laptop, copier, printer, smartphone, and IT peripherals like projectors and video conferencing equipment.

Requirements:

• Candidates with related experience in IT Infrastructure technical support experience will have added advantage.

Please submit your updated resume in MS word format by using the APPLY NOW BUTTON.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Summary Benefit :

✅ Friendly working environment

✅ Good Benefits

✅ Career Progression

Responsibilities :

F&B

• Maintain high internal quality control standards for fresh produce through effective quality management.
• Ensure the Quality Team performs regular inspections based on approved specifications.
• Make sure inspectors follow ISO/FSSC 22000 standards, HACCP, and GMP guidelines during inspections.
• Report to the Head of Operations on production performance, issues encountered, and areas for improvement.
• Conduct training and audits for Quality Assurance programs, covering customer quality standards, 5S, GMP, food safety, and hygiene.
• Ensure the team promptly reports and submits claims when shipments don’t meet quality standards.
• Ensure all employees adhere to company SOPs and procedures.
• Provide thorough training for new employees and ongoing training for current staff to enhance their skills.
• Manage customer complaints and supplier rejects, conducting timely investigations and implementing corrective actions.
• Collaborate with authorities and manage all food safety audits.

Civil/ Structural

• Check and confirm that the work on-site complies with the latest approved drawings and contract specifications.
• Plan and prepare the concrete trial mix according to specifications.
• Issue a Non-Conformance Report (NCR) when activities deviate from approved drawings and contract specifications.
• Coordinate with the QPs/Client to resolve Non-Conformance notices.
• Prepare and submit Method Statements, quality records, test results, material submissions, and concrete design mixes for client approval.
• Maintain the Project Quality Plan, Management Plan, and other quality records, and organize testing activities as needed.
• Compile all test reports for submission to the authorities via transmittal.
• Update the monthly progress report on quality matters for submission to the authorities.
• Assist with both external and internal quality audits on-site.

Requirements :

F&B

• Experience in F&B Manufacturing industry
• Experience in ISO/FSSC22000

Civil/ Structural

• LTA experience is a plus
• Experience in construction experience

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Khor Wan Ying (R22109948)

Benefits:

• 5 days Work
• East (required to travel Islandwide)
• Own Transpiration will be advantage
• Basic + Allowance + OT (Good Package)!

Job Scope:

• Configure, initialize, activate, troubleshoot, and restore both hardware and software systems for Digital Signage
• Deliver basic training to operators and technicians of customers.
• Oversee and manage the installation process on-site.
• Conduct system diagnostics and facilitate fault recovery.
• Offer routine and on-demand repair and system services.

Requirements:

• Candidates must have Digital Signage installation/ troubleshoot/ maintenance experience
• Candidates with own transportation is a plus

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Khor Wan Ying (R22109948)

· Checking plans, drawings and quantities for accuracy of calculations:

· Ensuring that all materials used and work performed are as per specifications:

· Liaising with contractors, supervisors, quantity surveyors and the general workforce involved in the project:

· Day-to-day management of the site, including supervising and monitoring the site labour force:

· Planning the work and efficiently organizing the plant and site facilities in order to meet agreed deadlines.

· Overseeing quality control, health and safety matters on site.

· Preparing VO and other reports as required.

· Other related duties, as assigned

Job Requirements:

- Diploma / Degree , related in Construction
- At least 1 year related working experience in Building Construction

- Bilingual in English and Mandarin in order to communicate and engage with Mandarin speaking customers.

- Willingness to learn & committed to accomplish datelines

• Apply technical knowledge, hands-on and customer insights to operate and administrate a cloud infrastructure
• Ensure all configuration conforms to high levels of performance, security, scalability, maintainability, and appropriate reusability and reliability upon deployment, aligning to design documentation specifications
• Ability to codify or implement/deploy configurations with the principles of automation by default in new projects with proper documentations will be advantageous
• Ability to codify or maintain cloud systems in an automated fashion using tools like Ansible, CloudFormation, Terraform etc with proper documentation will be advantageous
• Participate in Cloud Migrations for VMs using tools like CloudEndure, Azure Migrate with more than 20 VMs migration or Databases would be preferred
• Collaborate with team members to engage clients in operational meetings, discussions, process betterment and contribute to optimisations for the client’s environment
• Maintain technical skills, certifications and knowledge of market trends and competitive insights; collaborate and share with the technical community specifically in the cloud space
• Ability to resolve issues with proper resolution/documentation technically and SLAs is required for this role

· Carry out testing, integration, and commissioning of an array of instrumentation and control systems for commercial projects.

· Design control panels and subpanels and generating I/O lists.

· Develop process functional and software designs specifications including control write-up and control schematics.

· Carry out development, engineering and testing of DCS/ DDC/ PLC/ SCADA software.

· Interface design, implementation and testing between various third-party communication protocols.

· Development of hardware and software design specifications and other software/ test documentation.

· Carry out diagnosis and resolution of electrical, instrumentation and control systems issues.

· Ensuring on time completion of commissioning activities.

· Site Testing and Commissioning with clients.

· To liaise with multiple stakeholders of each project, internal (procurement, other disciplines etc) or external (consultants, clients, sub-contractors etc) in ensuring timely completion of tasks.

EXPERIENCE

· Experience in Industrial and process automation, and/or building ACMV systems for built environment projects. Fresh Graduates are welcome to apply.

· Experience in building management systems will be advantageous.

QUALIFICATION

· Diploma in Electrical Electronic Engineering

Job Description

• Lead a team of Service Engineers and IT Admins
• Monitor team’s progression on all incoming service requests on hardware or software issues
• Execute all assigned cases effectively and efficiently with a sense of urgency
• Provide timely and effective resolution to service requests and incidents
• Handle high volume of client’s service requests and assigned accordingly to the team
• Handle client’s complaints and ensure customer satisfaction during closure
• Liaise smoothly between internal stakeholder and clients for any sales-related matters
• Provide on and offsite support if needed
• Manage Service Engineers daily schedule
• Manage team’s transportation and phone claim usage
• Assist in other ad-hoc tasks assigned by Technical Manager

Job Requirements

• Bachelor’s degree in relevant field or equivalent combination of education and experience
• Minimum 3 to 5 years of related experience
• Motivated and able to initiate work process
• Strong leadership skill with good communication
• Excellent customer service and support skills
• Possess and in-depth knowledge of PC/laptops/notebooks hardware (i.e. knowledge of parts)
• Possess strong organizational skills and ability to prioritize tasks among many competing requests

Project Client Management:

• Excellent execution of project towards company objectives and client satisfaction.

• Good understanding of job nature

• Monitor progress of project and update project status to Superior & Finance Department

• Being efficient & manage project efficientcy

Technical Competencies:

• Good understanding of local code requirements

• Good engineering knowledges in relation to company services offered (eg.M&E professional services, Green Mark Related work etc.)

REQUIREMENTS :

• Candidate must possess at least Diploma/Bachelor's Degree in Engineering (Electrical/Electronic), Engineering (Mechanical) or equivalent.

• Required language(s): English

• At least 2 Year(s) of working experience in an M&E Consulting firm.

• Knowledge in design and building project and relevant code of practice.

• Proficiency in AutoCAD/BIM software is an added advantage.

• Able to work as a team, assertive , independent and proactive.

• Candidate without relevant working experience but with good interpersonal skills will be considered.

Interested candidates please submit updated resume via "APPLY NOW".

Please include your availability date and expected salary in your resume.

We regret only shortlisted candidates will be notified.

Responsibilities

• Maintenance of IT peripherals including backup & recovery
• Set-up, installation, re-installation or migration of IT peripherals
• Relocation of IT peripherals within premises
• Provide onsite support at client's premise, remote support by phone & email, and standby support. Handling clients/end-users IT related requests.
• Troubleshoot hardware & software issues
• Users profile administration
• Interface with other IT maintenance vendors for problem reporting. Place service call and follow up until the problem has been resolved.
• Installation and configuration of software according to customer standard

Requirement

• Minimum ITE / Diploma in IT or equivalent
• At least 1-2 year(s) of working experience in IT field
• User support experience is preferred
• Basic networking support & supporting in OS platform
• Have Customer Service Skills/ Good Communication Skills/ Team Player/ Take Initiative
• Able to work under pressure and in a fast paced environment

Others

• Might subject to client’s office working hours
• Possible of OT depending on projects

Airconditioning Engineers

1) Ability to lead and manage teams

2) Operation Supports to teams and clients

3) Self Motivated Individuals

4) Good Team Player

5) Experienece In Troubleshooting and Repair / Service of Split Type and VRF/ VRV systems

6) Valid Class 3 License

7) Minimum 5 years experience in Airconditioning Field

8) Possess field experience is a MUST

9) Strong troubleshooting and analytical skills

10) Prior experience working in MNCs Agent will be an advantage (I.E. Daikin, Mitsubishi, Toshiba)

Benefit:

• 5 days Work
• Basic Salary : $2000 - $3000
• Good Allowance, Bonus and AWS

Job Scope:

Assistant Engineer

• Perform servicing, maintenance, and troubleshooting on equipment and system the at site
• Ensure the equipment is functionality
• Involve of Installation work for machine
• Partner with other technicians and engineer to perform daily operation
• Respond and attend to fault calls from client
• Ensure Timely check the equipment to ensure they are in workable condition
• Planning and undertaking scheduled maintenance

Requirement

• Possess at least NITEC and relevant field
• 2 years relevant experiences will be advantage
• Entry level welcome to apply, training will be provided

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Khor Wan Ying (R22109948)

Responsibilities

• Provide L1 Support to the IT Team
• Assist on L2 IT-related matters and work with vendor on issues
• Maintenance of IT peripherals including backup & recovery
• Set-up & installation or migration of IT peripherals
• Relocation of IT peripherals within premises
• Troubleshoot hardware & software issues
• Users profile administration
• Provides IT Support for onboarding and offboarding of staff
• Installation and configuration of software according to customer standard

Requirement

• Minimum ITE / Diploma in IT or equivalent
• At least 1-2 year(s) of working experience in IT field
• User support experience is preferred
• Have Customer Service Skills/ Good Communication Skills/ Team Player/ Take Initiative
• Able to work under pressure and in a fast paced environment

Others

• Working Hours: 9.00am - 05.30pm (Mon to Fri)

- Assist in conducting Preventive Maintenance of assigned medical devices

- Assist to conduct medical devices operation training to end-user

- Ensure that all machine spare parts are properly stored and accounted for.

- Attend to service and repair call

-Track and ensure consumable parts are replaced in time as well as service contract is renewed timely.

A. Main Functions

1. Design furniture to meet client’s request.

2. Seek opportunities to propose solutions and improvement to existing products.

3. Design layout plan on space given for the installation of furniture to meet client’s request.

4. Provide technical support to Sales & Operations teams in executing projects.

5. Investigate technical aspects and root cause of problems in products and initiate corrective actions to rectify problems.

6. Develop preventative measures to prevent recurrence of problems.

7. Assess the impact of deviation on product quality.

8. Implement best practices in developing technical solutions.

B. Other Functions

1. Keep track of project schedule and products delivery schedule.

2. Provide support to Operations Team to load and store goods delivered by suppliers.

3. Provide support to Operations Team to deliver products to customers.

4. Assist Sales Managers to carry tasks that will help to resolve issue relating to products delivered to customers.

5. Attend site briefing and visit with Sales Managers when necessary.

6. Keep track of inventory record and setup product bundles in Quickbooks Application System.

Airconditioning Engineers

1) Ability to lead and manage teams

2) Operation Supports to teams and clients

3) Self Motivated Individuals

4) Good Team Player

5) Experienece In Troubleshooting and Repair / Service of Split Type and VRF/ VRV systems

6) Valid Class 3 License

7) Minimum 5 years experience in Airconditioning Field

8) Possess field experience is a MUST

9) Strong troubleshooting and analytical skills

10) Prior experience working in MNCs Agent will be an advantage (I.E. Daikin, Mitsubishi, Toshiba)

Senior Installation Engineer (Ref.No. R1007489 )

at our location in Singapore

You will enjoy having these responsibilities:

• Ensure production on Installation engineering activities in line with Project strategy.
• Able to Manage teams assuring to reach project targets (delivery, quality of works, budget)
• Ensure application of Hitachi Rail Strategy, Policies and Technical Standards (including local regulations and professional standards)
• Ensure application of HSE policy and standards to installation works
• Manage their own environment at a remote location in terms of cleanliness, organization, workload, risk assessments
• Upon completion of any work on site, the engineer is required to complete and submit to the Installation Manager and local business unit all relevant reports, backups and signed documentation
• When not on site, the engineer will be required to assist the Engineering department, either remotely or in the office, with technical advice and support or to complete other tasks as directed by the Installation Manager
• Provide effective, efficient technical support assistance and service to our customers in a professional and courteous manner via inbound calling, on-line chat, support portals, and ticketing
• Report as per Installation Manager request on the progress of the delivery of the document to be provided as per schedule
• Support the Installation Manager for review of the Installation Engineering activities, including Risk identification and mitigation proposal
• Interface with other Project stakeholders – internal or external - for getting needed data, for delivering the Installation Engineering documentation / drawings
• Identify and report on issues on document and drawing delivered
• Prepare and execute Installation Engineering activities (Site survey, review drawings, …) in support of one or several Projects in conformance with Hitachi Rail policies and standards, applicable regulations and technical standards (including local regulations, professional standards)
• Coordinates and implements customer installation activities in a time sensitive manner

You have:

• 6 to 8 years of experience in site installation engineering for complex projects in Railways, metro, transportation fields
• Bachelor’s degree/ Diploma in Telecommunication engineering, electronic engineering, computer science, electrical engineering, Civil/mechanical engineering
• Experience with CAD - Checking of design engineer’s calculations and drawings.
• Work according to the time work schedule and Ensure deadlines are set and met.
• His main work will be on site – 6 days in the week
• Excellent command of the English language (read, written, spoken)
• Willing to work in night shifts and on call duty.
• Positive work attitude, good planning and organization skills.

Responsibilities:

· Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

· Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

· Ensure data quality and integrity throughout the data processing lifecycle

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

· Optimize data engineering workflows for containerized deployment and efficient resource utilization

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

· Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

Requirements:

· Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Graphana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

· Excellent collaboration and communication skills to work effectively with cross-functional teams

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Description:

• Develop and implement new optic systems
• Resolve optical / illumination issues
• Identify necessary and desirable improvements of vision optical system performance

Requirements:

• Bachelor’s Degree in Optics Engineering / Physics/ Photonics etc
• Experience with optical design software, optical alignment and optical testing preferred.
• Proficiency in using Zemax or Code V
• Knowledge and experience in high magnification optics or IP cameras
• Familiar with lenses, specification, design trade-offs, basic optics modelling techniques, light measurement equipment and techniques are a must-have

Main Role and Responsibilities

• The candidate will be responsible for automating deployments of various infrastructure deployment elements using VMware vRealize Automation and Orchestration
• I need to understand infrastructure elements and deployment architecture.
• A strong programming background and the ability to consistently deliver successful outcomes on infrastructure automation solutions are essential for this role.
• The candidate should have a good understanding of interfacing applications with vRA / vRO APIs
• A strong programming background and the ability to consistently deliver successful outcomes on infrastructure automation solutions are essential for this role.

Skills:

• Hands-on project execution experience using Ansible, PowerShell and customization of workflows using Orchestration in VMware vRealize Suite environment.
• A good understanding of infrastructure elements, virtualization and sizing like CPU, RAM and Hard Disk usage.
• Candidate should be prepared to work extended hours specifically for giving hyper support after production release.

Your Role

As a Lead ML Engineer, you will play a leading role in operationalizing ML Models developed by CLIENT’s data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:

• Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Optimize AI development environments (development, testing, production) for usability, reliability and performance.
• Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).
• Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.
• Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

Technical Skills

• At least 10 years of experience as a ML Engineer, working with Python, ML libraries, and large-scale data processing framework.
• Advance proficiency in Python used both for ML and automation tasks.
• Experience in working with ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Experience in working with large-scale data processing framework, such as Hadoop, Spark, or Dask.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.
• Knowledge of cloud platforms (e.g. AWS, GCP) would be an advantage.

Soft Skills

• Good knowledge of Devops process and principles
• Strong in Software Engineering fundamentals
• Excellent communication skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong Organizational skills
• Visual Thinking

Job Description

• To assist the Sales department to generate quotation
• Perform sales admin duties
• Handle any sale enquiries
• Any other task required by the company

Job Requirements

• Diploma in Electrical Technology or Building Services Technology (Mechanical /Electrical)
• Basic Computer Knowledge
• Training will be provided
• Applicant with experience in construction industry -Fire protection will be advantage

Your Role

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by CLIENT’s data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring.

Your main responsibilities will include:

• Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Optimize AI development environments (development, testing, production) for usability, reliability and performance.
• Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).
• Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.
• Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

Technical Skills

• Proficiency in Python used both for ML and automation tasks
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Distributed Data Processing framework, such as Spark, or Dask.
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.
• Knowledge of cloud platforms (e.g. AWS, GCP) would be an advantage.

Soft Skills

• Good knowledge of Devops process and principles
• Strong in Software Engineering fundamentals
• Excellent communication skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong Organizational skills
• Visual Thinking

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

· Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.

· Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.

· Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.

· Optimize data engineering workflows for containerized deployment and efficient resource utilization.

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

· Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.

· At least 10 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Grafana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.

· Excellent collaboration and communication skills to work effectively with cross-functional teams.

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.