Total 12 network engineer job vacancies in Information Technology category in Singapore

We are seeking an experienced and detail-oriented Network Security Engineer to join our team. The ideal candidate will have hands-on experience in managing and configuring Cisco wireless infrastructure, switches, and routers, as well as proficiency with Palo Alto and Checkpoint Firewalls.

Key Responsibilities:

Cisco Wireless Infrastructure Management:

• Configure, deploy, and manage Cisco wireless access points and controllers to ensure reliable wireless network connectivity.
• Troubleshoot and resolve issues related to wireless network performance, coverage, and security.
• Managing the Cisco ISE.

Cisco Switches and Routers Management:

• Install, configure, and maintain Cisco switches and routers for optimal network performance.
• Perform network troubleshooting, identify bottlenecks, and implement solutions to ensure network reliability.

Firmware Upgrades:

• Upgrade firmware for wireless devices, routers, and switches as part of regular network maintenance and improvement.
• Ensure minimal disruption during firmware updates and troubleshooting any issues that arise.

Network Monitoring with SolarWinds:

• Utilize SolarWinds for continuous monitoring of the network infrastructure, including switches, routers, and wireless systems.
• Respond to alerts, troubleshoot network issues, and optimize network performance based on monitoring data.

Firewall Management (Palo Alto, Checkpoint):

• Configure and maintain Palo Alto and Checkpoint firewalls to ensure network security and integrity.
• Monitor firewall performance, implement policy changes, and respond to any security incidents or alerts.

Required Skills and Qualifications:

• Proven experience in managing and configuring Cisco wireless infrastructure, switches, and routers.

• Strong knowledge and hands-on experience with SolarWinds network monitoring tool.

• Proficiency in managing Palo Alto and Checkpoint firewalls.

• Strong troubleshooting skills for network and security-related issues.

• Ability to perform firmware upgrades for network devices and equipment.

• Familiarity with network security practices and protocols.

• CCNP (Cisco Certified Network Associate) certification or equivalent is a plus.

• Experience with network documentation and creating network diagrams.

Preferred Skills:

• Advanced Cisco certifications (CCNP) or equivalent.

• Knowledge of other network security platforms.

• Experience in implementing network automation or orchestration tools.

Personal Attributes:

• Strong problem-solving skills and ability to work under pressure.

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

• Self-motivated and able to manage multiple tasks and priorities.

Education and Experience:

• Bachelor’s degree in Computer Science, Information Technology.

• Minimum of 8 years of experience in a similar role.

• Proven experience in managing and configuring Cisco wireless infrastructure, switches, and routers (Cloud & On premise).
• Deploy and configure solutions in the cloud.
• Automate cloud operations, develop infrastructure automation scripts and participates in the continuous improvement of cloud solutions.
• Strong knowledge and hands-on experience with SolarWinds network monitoring tool.
• Proficiency in managing Palo Alto and Checkpoint firewalls.
• Strong troubleshooting skills for network and security-related issues.
• Ability to perform firmware upgrades for network devices and equipment.
• Familiarity with network security practices and protocols.
• CCNP (Cisco Certified Network Associate) certification or equivalent is a plus.
• Experience with network documentation and creating network diagrams.
• Experience in cloud (AWS, GCP, Azure).
• Advanced Cisco certifications (CCNP) or equivalent.
• Knowledge of other network security platforms.
• Experience in implementing network automation or orchestration tools.

Job Summary: We are seeking an experienced and detail-oriented Network Security Engineer to join our team. The ideal candidate will have hands-on experience in managing and configuring Cisco wireless infrastructure, switches, and routers, as well as proficiency with Palo Alto and Checkpoint Firewalls.

Key Responsibilities:

• Cisco Wireless Infrastructure Management:

o Configure, deploy, and manage Cisco wireless access points and controllers to ensure reliable wireless network connectivity.

o Troubleshoot and resolve issues related to wireless network performance, coverage, and security.

o Managing the Cisco ISE.

• Cisco Switches and Routers Management:

o Install, configure, and maintain Cisco switches and routers for optimal network performance.

o Perform network troubleshooting, identify bottlenecks, and implement solutions to ensure network reliability.

• Firmware Upgrades:

o Upgrade firmware for wireless devices, routers, and switches as part of regular network maintenance and improvement.

o Ensure minimal disruption during firmware updates and troubleshooting any issues that arise.

• Network Monitoring with SolarWinds:

o Utilize SolarWinds for continuous monitoring of the network infrastructure, including switches, routers, and wireless systems.

o Respond to alerts, troubleshoot network issues, and optimize network performance based on monitoring data.

• Firewall Management (Palo Alto, Checkpoint):

o Configure and maintain Palo Alto and Checkpoint firewalls to ensure network security and integrity

o Monitor firewall performance, implement policy changes, and respond to any security incidents or alerts.

Required Skills and Qualifications:

• Proven experience in managing and configuring Cisco wireless infrastructure, switches, and routers.

• Strong knowledge and hands-on experience with SolarWinds network monitoring tool.

• Proficiency in managing Palo Alto and Checkpoint firewalls.

• Strong troubleshooting skills for network and security-related issues.

• Ability to perform firmware upgrades for network devices and equipment.

• Familiarity with network security practices and protocols.

• CCNP (Cisco Certified Network Associate) certification or equivalent is a plus.

• Experience with network documentation and creating network diagrams.

Preferred Skills:

• Advanced Cisco certifications (CCNP) or equivalent.

• Knowledge of other network security platforms.

• Experience in implementing network automation or orchestration tools.

We are seeking a dedicated Support Engineer professional to join our team to ensure the smooth operation of our systems and applications. The ideal candidate will have strong technical skills and be able to collaborate with various departments to support and maintain our software systems.

Responsibilities:

Monitor and troubleshoot production issues (Linux VMs, Vendor Product, SFTP).

Collaborate with cross-functional teams to identify and resolve production issues.

Perform root cause analysis and provide solutions to prevent future issues.

Create and maintain documentation related to production issues and resolutions via JIRA.

Implement and maintain processes and procedures to improve production support.

Provide daily, weekly, and monthly reports on system performance and issue status.

Ensure proper deployment and release of software updates & infrastructure patches/upgrades.

Participate in on-call rotation and respond to production issues after business hours. There are two shifts, Morning (7 AM to 4 PM) and Afternoon (2 PM to 11 PM), running 7 days a week.

Deployments during silent hours.

Development work within the vendor product (about 10%-20% of time).

Preferred Qualifications:

Bachelor’s degree in Computer Science or related field.

2–4 years of experience in Production Support or related role.

Strong technical skills in Java, SQL, UNIX, and scripting languages.

Ability to troubleshoot and resolve complex production issues efficiently.

Excellent problem-solving and analytical skills.

Effective communication skills to collaborate with cross-functional teams effectively.

Willingness to participate in on-call rotation.

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

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

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven 2-5 Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• trong 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
• trong 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

We are seeking a talented and experienced Senior Data Engineer (Quantexa)with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices. Elasticsearch to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus. Working experience with Quantexa tool is a must.

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

·        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

·        Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

·        Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

·        Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

·        Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

·        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

1. More than 5 years of experience as a Data Engineer
2. · Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
3. · Possession of Quantexa certification as a Data Engineer or Data Architect, with proficiency in the tool
4. · Demonstrated experience as a Data Engineer, utilizing Hadoop, Spark, and data processing technologies in large-scale environments
5. · Expertise in the Scala programming language and familiarity with functional programming principles
6. · Prior experience with the Quantexa tool is highly desirable
7. · Comprehensive understanding of Apache Spark architecture, including RDDs, DataFrames, and Spark SQL
8. · Advanced proficiency in designing and developing data infrastructure utilizing Hadoop, Spark, and associated tools (HDFS, Hive, Pig, etc.)
9. · Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration via Kubernetes
10. · Proficiency in programming languages commonly employed in data engineering, including Spark, Python, Scala, or Java
11. · Knowledge of DevOps methodologies, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
12. · Experience with Graphana, Prometheus, and Splunk will be considered an added advantage
13. · Background in integrating and utilizing Elasticsearch for data indexing and search applications
14. · Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization techniques
15. · Experience with distributed computing, parallel processing, and handling large datasets
16. · Proficient in performance tuning and optimization methods for Spark applications and Elasticsearch queries
17. · Strong problem-solving and analytical capabilities with the capacity to debug and resolve intricate issues
18. · Familiarity with version control systems (e.g., Git) and collaborative development environments

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.

• 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.
• 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.

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Your main responsibilities will include:

• 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

• ·Bachelor's degree in Computer Science, Information Technology, or a related field
• 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 challenge
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

We are looking for a talented Software Engineer with strong expertise in Python, Shell Scripting, Unix, and Automation. The ideal candidate is a self-starter who thrives in a fast-paced environment and can join immediately to contribute to mission-critical projects.

Key Responsibilities:

• Develop, test, and maintain Python scripts for automation and application development.
• Create and manage Shell Scripts for process automation and system management.
• Perform system administration and maintenance on Unix/Linux platforms.
• Design and implement automation workflows to streamline operations.
• Collaborate with cross-functional teams to gather and analyze requirements.
• Troubleshoot and resolve technical issues promptly.
• Ensure the security, reliability, and scalability of automated solutions.

• Min 5+ Years of experience as Software Developer
• Proficiency in Python programming, with a focus on scripting and automation.
• Strong knowledge of Shell Scripting
• Hands-on experience with Unix systems.
• Familiarity with automation tools and frameworks.
• Strong problem-solving and analytical abilities.
• Immediate joiner preferred

• Assist in the development and optimization of ETL processes using PySpark and Databricks.
• Collaborate with team members to design and implement data models and architecture in AWS.
• Maintain and monitor data pipelines to ensure data quality and reliability.
• Utilize GitHub for version control and collaboration on codebases.
• Participate in code reviews and contribute to best practices in coding and data engineering.
• Support the team in implementing CI/CD practices for data workflows.
• Document processes and workflows for data engineering tasks.

• Familiarity with AWS services (e.g., S3, Redshift, Glue) and cloud computing concepts.
• Basic knowledge of Databricks and PySpark for data processing.
• Understanding of Git and experience with GitHub for version control.
• Awareness of DevOps principles and tools (e.g., CI/CD, Docker) is a plus.
• Databricks certification is a plus.

• Design, develop, and maintain scalable data pipelines and ETL processes using Hadoop and Spark.
• Write efficient and optimized data processing jobs in Scala to transform and load data.
• Utilize SQL for querying and manipulating data across various databases.
• Collaborate with data scientists and analysts to gather requirements and deliver data solutions that meet business needs.
• Monitor and troubleshoot data processing workflows to ensure high performance and reliability.
• Implement best practices for data quality, governance, and security.
• Document data engineering processes, workflows, and architecture for team knowledge sharing.
• Stay updated on industry trends and emerging technologies to continuously improve our data strategies.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency in Hadoop ecosystem components (e.g., HDFS, Hive, Pig).
• Hands-on experience with Apache Spark for big data processing.
• Proficient in Scala programming for data transformation tasks.
• Advanced SQL skills for querying and managing large datasets.
• Experience with data modeling, data warehousing, and ETL processes.
• Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
• Strong analytical and problem-solving skills.

We are seeking an experienced Data Engineer with a strong background in Hadoop, Spark, and SQL, specifically within the banking sector. The ideal candidate will be responsible for designing, building, and maintaining large-scale data pipelines and platforms to support critical banking applications and decision-making processes.

Key Responsibilities:

• Data Pipeline Development: Design, develop, and maintain efficient data pipelines and workflows using Hadoop and Spark frameworks to support the bank’s data processing needs.
• Data Integration & ETL: Create ETL processes to extract, transform, and load large datasets into Hadoop ecosystems from various banking systems, ensuring data consistency and accuracy.
• Database Management: Write optimized SQL queries to manage and analyze data stored across relational databases, data lakes, and cloud platforms.
• Data Processing & Analysis: Implement scalable data processing solutions to analyze large datasets, provide insights, and deliver solutions for financial services and risk management.
• Collaboration: Work closely with business analysts, data scientists, and IT teams to ensure data solutions align with banking sector needs, including compliance with regulations and reporting requirements.
• Performance Optimization: Fine-tune Hadoop and Spark applications for performance, improving throughput and reducing latency.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Strong years  experience as a Data Engineer, specifically within the banking or financial sector.
• Proficiency in Hadoop ecosystem tools (HDFS, Hive, HBase) and Spark for large-scale data processing.
• Strong experience with SQL and relational databases such as PostgreSQL, MySQL, or Oracle.
• Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes) is a plus.
• Experience in data governance and compliance regulations within the financial industry.
• Excellent problem-solving and analytical skills.

• Salary: SGD 6000 - 9500
• Great Work Culture
• Includes comprehensive insurance for self and family. Includes Specialist and Dental Coverage.
• Includes Standard Annual and Sick Leave