Total 26 job vacancies by Intellect Minds Pte. Ltd.

Roles / Responsibilities

• Identify, diagnose electrical failures in machine modules and provide rapid, effective technical support to production teams
• Analyze production yield trends (downtime) and identify parts failure (DPU)
• Support engineering design changes, equipment modifications and upgrades
• Identify, diagnose electrical failures in machine modules and provide rapid, effective technical support to production teams
• Ensure and validate all necessary fixtures, jigs, drawings, and work instruction are available for manufacturing processes

Perquisites

• Degree in Engineering (Electrical, Electronics or Mechantonics) with 2 years of related experience
• Possess strong statistical analysis skillset and problem solving abilities on electrical modules
• Team player capable of collaborating across various stakeholders and ability to work under pressure during equipment downtime.
• Familiarity with PLC programming (SICK, etc) and Industrial communication protocol (Modbus, Ethernet/IP) will be required
• Knowledge of Python coding will be advantageous

We are looking for a Principal Engineer who will be responsible for the installation, Configuration and Maintenance of Oracle's technologies and products. Must be proficient and have hands-on working experience on the following areas.

• Oracle Linux
• Oracle Linux Virtual Manager (OLVM) and Coriolis (if any)
• Intel x86 Servers
• Backup and Restoration
• Servers and OS Administration
• Servers Consolidation and Migration

Full time Resident Engineer providing Oracle Linux and Oracle Linux Virtual Manager L2/L3 support as follow.

1. Applying of Oracle critical patches for Oracle Linux Operating System and OLVM

2. Planning, migrating and managing OLVM

3. Perform all OLVM/system activities (related to Oracle Linux and OLVM) as required and requested.

4. Provide support for:

• VM template creation on OLVM
• OLVM design and configuration assistance.
• OLVM Support and troubleshooting assistance throughout the project timeline.
• Post-migration OLVM health verification and OLVM production support.
• Standby support during migration windows for OLVM platform issues.

5. Assist customer with automation & monitoring routines for OLVM.

6. Perform duties on supporting operational / technical aspects of the Oracle Linux and OLVM.

Key Responsibilities

• Develop, enhance, and maintain backend applications using Java
• Write and maintain Bash scripts for automation, deployment, and operational tasks.
• Debug and troubleshoot application issues in development and production environments.
• Collaborate with cross-functional teams to define and implement technical solutions.
• Participate in code reviews and follow best practices for clean, maintainable code.
• Support CI/CD pipelines and assist in build automation when required.

Mandatory Skills

• Strong knowledge of Core Java, OOP concepts, collections, multithreading, and exception handling.
• Hands-on experience with Bash scripting on Unix/Linux environments.
• Experience with REST APIs and microservices (optional but preferred).
• Good understanding of Linux file systems, permissions, and process handling.

We are looking for a Level 2 (L2) Helpdesk Support Engineer to support and maintain production systems. You will handle escalated incidents, troubleshoot complex issues, and work closely with engineering teams to ensure system stability and performance.

Key Responsibilities

• Provide L2 support for production and staging systems (escalations from L1)
• Investigate application errors, system alerts, and performance issues
• Restore services within SLA/OLA timelines
• Perform troubleshooting using logs, monitoring tools, and system metrics
• Conduct root cause analysis (RCA) and implement preventive actions
• Collaborate with L3, DevOps, and vendors on complex issues
• Monitor system health and proactively identify risks
• Support deployments, patches, and operational fixes
• Maintain runbooks, SOPs, and knowledge base documentation
• Ensure compliance with security and operational standards

Requirements

• Diploma/Degree in IT, Computer Science, or related field
• 3–5+ years of experience in application or systems support
• Experience supporting production or mission-critical systems

Technical Skills

• Monitoring & logging tools (e.g. CloudWatch, Grafana, ELK)
• Linux/Unix environments
• Basic cloud knowledge (AWS – ECS, Lambda, S3, RDS)
• Basic database knowledge (MySQL/PostgreSQL)
• Understanding of REST APIs and system integrations
• Familiarity with Jira, PagerDuty, or similar tools

Nice to Have

• Experience with microservices or cloud-native systems
• Basic scripting (Bash/Python)
• Exposure to enterprise or regulated environments

Key Traits

• Strong troubleshooting and analytical skills
• Calm under pressure in production environments
• Proactive with strong ownership mindset
• Good communication and teamwork skills

Key Responsibilities

Network Automation & Development

• Design, build, and maintain network automation frameworks to streamline provisioning, configuration, compliance, and lifecycle operations.

• Develop automation using Python, Ansible, REST/NETCONF/NMI APIs, and YAML.

• Implement Infrastructure as Code using:

o Ansible Tower / AWX

o GitLab repositories

o Azure DevOps CI/CD pipelines

o CyberArk Vault for secure credential and secrets handling.

• Establish coding standards, documentation practices, and reusable automation modules.

Architecture, Governance & Best Practices

• Translate business requirements into scalable network automation architecture.

• Define automation governance, templates, naming standards, and deployment guidelines.

• Conduct code reviews and enforce security, compliance, and audit rules.

• Recommend enhancements and assess emerging technologies.

________________________________________

Experience in the following Network automation:

NX OS & Catalyst Deployment

• Provision devices using provided templates:

o Interfaces, VLANs, IPs, hardening constructs

o HSRP, LACP port channels

o ACLs

o Static & dynamic routing (OSPF/BGP)

• Perform automated validation and compliance checks.

Network Health Monitoring, Logs & Troubleshooting

• Automated health checks (fabric topology, device status, endpoint connectivity).

• Fault detection & remediation for NX-OS/Catalyst

• Collect diagnostic logs & performance data for RCA.

• Automate network devices backup with version control.

________________________________________

Required Qualifications

• At least 5 years of enterprise networking & automation experience.

• Proficiency with:

o Ansible, YAML, Python

o Ansible Tower / AWX

o GitLab version control

o Azure DevOps CI/CD pipelines

o CyberArk Vault

• Deep expertise in:

o Cisco NX OS, Cisco Catalyst

o Layer 2/3 technologies including OSPF, BGP, VXLAN, EVPN, STP, HSRP, LACP, ACLs

o APIs (REST, NETCONF, gNMI), YANG models

• Hands-on in automation validation and test-driven deployment.

________________________________________

Preferred Qualifications

• Cisco CCNP, CCIE Professional

• Red Hat Ansible Tower / Terraform Certified (optional)

• Cloud experience (AWS/Azure) (optional)

________________________________________

Soft Skills

• Good communication and technical documentation skills

• Analytical and detail-oriented

Required Qualifications

Essential Technical Skills

• Databricks Platform: Proven hands-on experience with Databricks platform including workspace administration, cluster management, and workflow orchestration
• Unity Catalog: Demonstrated experience implementing Unity Catalog for unified governance, including metastore configuration, catalog/schema design, and access control policies
• Data Modelling: Strong expertise in designing and implementing data models, including dimensional modeling, data vault, and lakehouse architectures
• Delta Lake: Deep understanding of Delta Lake features including ACID transactions, time travel, and optimization techniques
• Apache Spark: Proficiency in Spark SQL, DataFrames, and performance tuning
• Programming: Strong skills in Python, SQL, and/or Scala for data processing
• Cloud Platforms: Experience with Azure, AWS, or GCP cloud services

Additional Technical Skills

• Data pipeline development and ETL/ELT processes
• Data governance frameworks and metadata management
• Performance optimization and troubleshooting
• CI/CD practices for data platforms
• Data quality and validation frameworks
• Understanding of data security and compliance requirements

Professional Experience

• Minimum 8-10 years in data architecture, engineering, or analytics roles
• At least 3-5 years of hands-on experience with Databricks platform
• Proven track record implementing Unity Catalog in enterprise environments
• Experience designing and implementing complex data models for large-scale systems
• Background working with Databricks Professional Services or similar partnerships preferred
• Experience across multiple industry sectors (Public Service, Financial Services, Healthcare, etc.) is advantageous

Certifications (Preferred)

• Data Engineer Professional
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer, AWS Data Analytics, or GCP Data Engineer)
• Relevant data management or analytics certifications

Soft Skills

• Strong analytical and problem-solving capabilities
• Ability to work collaboratively with Partners and cross-functional teams
• Client-focused mindset with relationship-building skills
• Self-motivated with ability to manage multiple priorities
• Experience working in agile environments

Key Responsibilities

End-to-End Data Architecture

• Collaborate with Databricks PS and customer 
• on comprehensive end-to-end data architecture on Databricks platform
• Design and implement data ingestion strategies from various source systems
• Architect scalable storage solutions leveraging Delta Lake and lakehouse architecture
• Develop efficient data processing frameworks using Apache Spark and Databricks workflows
• Create data consumption layers for analytics, reporting, and machine learning use cases
• Ensure seamless data flow across the entire data lifecycle

Governance, Security & Compliance

• Collaborate with Databricks PS on implementing robust governance frameworks
• Design and enforce security policies and access controls within Databricks environments
• Ensure compliance with regulatory requirements and industry standards
• Implement data lineage, audit trails, and monitoring capabilities
• Optimize performance through best practices in cluster configuration and query optimization
• Establish data quality standards and validation processes

Data Modelling & Design

• Define business-aligned data models that support organizational objectives
• Design Delta table structures optimized for performance and scalability
• Create dimensional and normalized data models based on business requirements
• Implement medallion architecture (Bronze, Silver, Gold layers) for data refinement
• Develop data schemas that support both analytical and operational workloads
• Document data models and maintain data dictionaries

Technical Leadership & Collaboration

• Lead technical discussions with clients and stakeholders to understand business requirements
• Provide technical guidance to development teams on Databricks best practices
• Work closely with Infrastructure (Infra), Applications (Apps), and Cyber teams for integrated delivery
• Mentor junior architects and engineers on Databricks technologies
• Present solution architectures and technical recommendations to client leadership

Solution Implementation

• Oversee implementation of Databricks solutions from design through deployment
• Ensure solutions meet performance, scalability, and reliability requirements
• Support proof-of-concepts and pilot implementations
• Conduct architecture reviews and ensure alignment with enterprise standards

Required Qualifications

Essential Technical Skills

• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration
• Data Modelling: Experience implementing data models including dimensional modeling, data vault, or lakehouse architectures
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques
• Python: Strong Python programming skills for data processing and automation

Additional Technical Skills

• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Understanding of data governance and security best practices
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Understanding of data quality frameworks and testing methodologies

Professional Experience

• Minimum 8 years in data engineering or related roles
• At least 2-3 years of hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments

Required Certifications

• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional

Additional Certifications (Preferred)

• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications

Soft Skills

• Strong problem-solving and analytical thinking abilities
• Excellent communication skills to explain technical concepts clearly
• Ability to work collaboratively in cross-functional teams
• Self-motivated with strong attention to detail
• Adaptable to changing priorities and technologies
• Client-focused mindset with commitment to quality delivery

Key Responsibilities

Data Pipeline Development & Operations

• Design, build, and operate scalable and reliable data pipelines on the Databricks platform
• Develop end-to-end data workflows from ingestion through transformation to consumption
• Implement robust error handling, monitoring, and alerting mechanisms
• Ensure data pipeline reliability, performance, and maintainability
• Optimize pipeline performance through efficient Spark job design and cluster configuration
• Manage and orchestrate complex data workflows using Databricks Jobs and workflows

Legacy Code Modernization

• Refactor legacy code and data pipelines to PySpark for improved performance and scalability
• Migrate traditional ETL processes to modern ELT patterns on Databricks
• Assess existing codebases and identify opportunities for optimization and modernization
• Ensure backward compatibility and data integrity during migration processes
• Document refactoring approaches and create migration playbooks
• Collaborate with stakeholders to minimize disruption during code transitions

Data Engineering Excellence

• Implement data quality checks and validation frameworks
• Design and maintain Delta Lake tables with appropriate optimization strategies
• Develop reusable code libraries and frameworks for common data engineering tasks
• Follow software engineering best practices including version control, testing, and CI/CD
• Participate in code reviews and provide constructive feedback to team members
• Troubleshoot and resolve data pipeline issues in production environments

Collaboration & Knowledge Sharing

• Work closely with data architects, analysts, and business stakeholders
• Collaborate with Infrastructure (Infra), Applications (Apps), and Cyber teams
• Share knowledge and best practices with Team NCS
• Mentor junior data engineers on PySpark and Databricks technologies
• Document technical solutions and maintain comprehensive documentation

We are looking for a customer-focused IT Service Desk / Call Centre Executive to provide first-level technical support and assistance to end users. The ideal candidate should have prior experience in an IT service desk environment, along with strong communication skills and basic exposure to application support technologies such as APIs, MFT, and host-to-host integrations.

Key Responsibilities:

• Act as the first point of contact for IT-related issues via phone, email, or ticketing systems
• Provide timely resolution or escalation of incidents and service requests
• Troubleshoot basic technical issues related to systems, applications, and connectivity
• Monitor and support applications involving APIs, MFT (Managed File Transfer), and host-to-host integrations
• Log, track, and update incidents in the ticketing system
• Ensure adherence to SLAs and customer service standards
• Collaborate with internal teams for issue resolution and service improvements
• Maintain proper documentation of incidents, solutions, and processes

Required Skills & Qualifications:

• Proven experience in an IT Service Desk / IT Call Centre environment
• Basic understanding of:APIs (Application Programming Interfaces)MFT (Managed File Transfer)Host-to-host integrations
• Strong communication and customer service skills
• Ability to handle high-volume support requests in a fast-paced environment
• Familiarity with ticketing tools (e.g., ServiceNow, Remedy, Jira, etc.)
• Good problem-solving and troubleshooting skills

Preferred Profile:

• Candidates with service desk experience and strong communication skills are highly preferred
• Desktop support engineers with technical knowledge but lacking customer interaction experience may not be ideal for this role
• ITIL knowledge or certification is an added advantage

Required Skills & Experience:

• Proven experience in delivering AI-driven solutions and software consulting for enterprise clients.
• Strong project management and program delivery skills across global teams.
• Expertise in stakeholder engagement, technical presentations, and multi-stakeholder collaboration.
• Hands-on experience with cloud integrations, API management, and technical enablement.
• Ability to translate complex technical concepts into clear, scalable solutions.
• Strong process improvement, operational clarity, and team collaboration capabilities.
• Excellent communication, problem-solving, and analytical skills.

Preferred Qualifications:

• Experience with chatbot systems, AI integrations, and enterprise software solutions.
• Knowledge of cloud platforms such as Alibaba Cloud, AWS, or Azure.
• Familiarity with Agile project management methodologies.

Required Qualifications
Essential Technical Skills

• Databricks Platform: Proven hands-on experience with Databricks platform including workspace administration, cluster management, and workflow orchestration
• Unity Catalog: Demonstrated experience implementing Unity Catalog for unified governance, including metastore configuration, catalog/schema design, and access control policies
• Data Modelling: Strong expertise in designing and implementing data models, including dimensional modeling, data vault, and lakehouse architectures
• Delta Lake: Deep understanding of Delta Lake features including ACID transactions, time travel, and optimization techniques
• Apache Spark: Proficiency in Spark SQL, DataFrames, and performance tuning
• Programming: Strong skills in Python, SQL, and/or Scala for data processing
• Cloud Platforms: Experience with Azure, AWS, or GCP cloud services

Additional Technical Skills

• Data pipeline development and ETL/ELT processes
• Data governance frameworks and metadata management
• Performance optimization and troubleshooting
• CI/CD practices for data platforms
• Data quality and validation frameworks
• Understanding of data security and compliance requirements

Professional Experience

• Minimum 8-10 years in data architecture, engineering, or analytics roles
• At least 3-5 years of hands-on experience with Databricks platform
• Proven track record implementing Unity Catalog in enterprise environments
• Experience designing and implementing complex data models for large-scale systems
• Background working with Databricks Professional Services or similar partnerships preferred
• Experience across multiple industry sectors (Public Service, Financial Services, Healthcare, etc.) is advantageous

Certifications (Preferred)

• Data Engineer Professional
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer, AWS Data Analytics, or GCP Data Engineer)
• Relevant data management or analytics certifications

Soft Skills

• Excellent communication and presentation abilities
• Strong analytical and problem-solving capabilities
• Ability to work collaboratively with Partners and cross-functional teams
• Client-focused mindset with relationship-building skills
• Self-motivated with ability to manage multiple priorities
• Experience working in agile environments

Key Responsibilities
End-to-End Data Architecture

• Collaborate with Databricks PS and customer 
• on comprehensive end-to-end data architecture on Databricks platform
• Design and implement data ingestion strategies from various source systems
• Architect scalable storage solutions leveraging Delta Lake and lakehouse architecture
• Develop efficient data processing frameworks using Apache Spark and Databricks workflows
• Create data consumption layers for analytics, reporting, and machine learning use cases
• Ensure seamless data flow across the entire data lifecycle

Governance, Security & Compliance

• Collaborate with Databricks PS on implementing robust governance frameworks
• Design and enforce security policies and access controls within Databricks environments
• Ensure compliance with regulatory requirements and industry standards
• Implement data lineage, audit trails, and monitoring capabilities
• Optimize performance through best practices in cluster configuration and query optimization
• Establish data quality standards and validation processes

Data Modelling & Design

• Define business-aligned data models that support organizational objectives
• Design Delta table structures optimized for performance and scalability
• Create dimensional and normalized data models based on business requirements
• Implement medallion architecture (Bronze, Silver, Gold layers) for data refinement
• Develop data schemas that support both analytical and operational workloads
• Document data models and maintain data dictionaries

Technical Leadership & Collaboration

• Lead technical discussions with clients and stakeholders to understand business requirements
• Provide technical guidance to development teams on Databricks best practices
• Work closely with Infrastructure (Infra), Applications (Apps), and Cyber teams for integrated delivery
• Mentor junior architects and engineers on Databricks technologies
• Present solution architectures and technical recommendations to client leadership

Solution Implementation

• Oversee implementation of Databricks solutions from design through deployment
• Ensure solutions meet performance, scalability, and reliability requirements
• Support proof-of-concepts and pilot implementations
• Conduct architecture reviews and ensure alignment with enterprise standards

We are looking for a strong Banking Subject Matter Expert (SME) with deep experience in Retail Banking Deposits, Retail Lending, or Corporate Lending and good knowledge of Temenos Arrangement Architecture (AA) within Temenos T24.

The ideal candidate should be able to manage the full implementation lifecycle, from discovery and requirement gathering to configuration and go-live support.

Key Responsibilities

• Act as SME for Banking Products (Deposits / Retail Lending / Corporate Lending).
• Conduct business discovery sessions with stakeholders to understand business processes and requirements.
• Gather and document business and functional requirements.
• Translate business needs into system configuration within AA products.
• Configure and set up banking products in Temenos T24 / AA.
• Support solution design and product setup based on banking requirements.
• Work closely with technical teams, testers, and business stakeholders.
• Support SIT, UAT, and production deployment activities.
• Ensure successful delivery and go-live implementation.

Required Skills

• Strong banking domain expertise in Deposits, Retail Lending, or Corporate Lending.
• Experience with Temenos T24 and Temenos Arrangement Architecture products.
• Ability to handle Discovery → Requirement Gathering → Configuration → Go-Live lifecycle.
• Experience in product configuration and setup.
• Strong stakeholder communication and documentation skills.
• Experience working in banking transformation or core banking implementation projects.