Total 315 Engineering job vacancies in Cagayan Valley

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

We are seeking a Senior Data Engineer to work directly with agencies, enabling them to reach their desired development delivery efficiency and system resiliency through optimized Continuous Integration/Continuous Deployment(CI/CD) and Site Reliability Engineering(SRE) practices.

Asa forward-deployed engineer, you’ll partner with agencies to solve complex challenges, gather insights, and drive continuous improvement in our product offerings. This role combines deep technical expertise with a commitment to customer enablement and feedback, ensuring that our Core Engineering Products evolve to address the real-world needs of our customers.

As a Senior Data Engineer, youwill be working on:

·      Translate data requirements from business users into technical specifications.

·      Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

·      Build out data product as part of a data team:

·      Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

·      Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

·      Construct, test, and update useful and reusable data models based on data needs of end users.

·      Design and build secure mechanisms for end users and systems to access data in data warehouse.

·      Research, propose and develop new technologies and processes to improve agency data infrastructure.

·      Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

·      Maintain data catalogue to document data assets, meta data and lineage.

·      Implement data quality checks and validation processes to ensure data accuracy and consistency.

·       Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

·      A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

·      Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

·      Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

·      Experience with Databricks.

·      Experience in designing, building, and maintaining batch and real-time data pipelines.

·      Experience with orchestration frameworks such as Airflow, Azure Data Factory.

·      Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

·      Familiarity with building and using CI/CD pipelines.

·      Familiarity with DevOps tools such as Docker, Git, Terraform.

·      Experience with implementing technical processes to enforce data security, data quality, and data governance.

·      Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

·      Experience in Climate and Weather domains will be an advantage.

We are looking for an experienced Web Software Engineer to develop modern, scalable, and responsive web applications that deliver an excellent user experience. You will work closely with cross-functional teams to build high-quality frontend solutions while contributing to engineering best practices and continuous improvement initiatives.

Key Responsibilities

• Design, develop, and maintain web applications using React and TypeScript.
• Collaborate with backend engineers and stakeholders to deliver seamless end-to-end solutions.
• Translate business requirements into intuitive and responsive user interfaces.
• Enhance application performance, maintainability, and scalability through modern engineering practices.
• Contribute to the implementation of CI/CD pipelines and frontend development best practices.
• Participate in proof-of-concept initiatives and evaluate new technologies where appropriate.
• Produce technical documentation and communicate solution designs effectively to technical and business stakeholders.
• Collaborate with engineering teams to drive knowledge sharing and continuous improvement.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
• At least 7 years of relevant software engineering experience.
• Strong hands-on experience with React and TypeScript.
• Experience integrating frontend applications with RESTful APIs.
• Experience with Node.js is an advantage.
• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform is an advantage.
• Strong analytical, problem-solving, and communication skills.
• Experience working in highly secured or regulated environments such as government or banking systems will be an advantage.

Interested candidates are encouraged to submit their resumes outlining their relevant experience and achievements to apply88(@)talentvis.comor click apply!

**We regret to inform that only shortlisted candidates would be notified**

EA License No: 04C3537

EA Personnel No: R22106683

EA Personnel Name: Yang Hui Shan, Sherri

We are looking for motivated and technically inclined individuals to join our team as Field Service Engineers. This is an excellent opportunity for fresh graduates and entry-level candidates to build a career in equipment installation, maintenance, and technical support within a high-technology manufacturing environment. Comprehensive on-the-job training will be provided.

Key Responsibilities

• Install, maintain, troubleshoot, repair, and upgrade equipment at customer sites.
• Perform preventive and corrective maintenance to ensure equipment operates at optimal performance.
• Diagnose mechanical and electrical faults and carry out necessary repairs and adjustments.
• Support equipment setup, installation, modification, and commissioning activities.
• Prepare service reports and technical documentation upon completion of service activities.
• Assist senior engineers with advanced troubleshooting, equipment calibration, and specialised technical tasks.
• Participate in regular team meetings, technical briefings, and training sessions.
• Provide standby and on-call support based on an assigned roster to respond to customer requirements.
• Support ad hoc shift work or delivery-related activities when required.

Requirements

• Diploma in Electronics, Electrical, Microelectronics Engineering, or a related engineering discipline.
• Candidates with NITEC/Higher NITEC qualifications and relevant technical experience are welcome to apply.
• Entry-level candidates are encouraged to apply as structured training will be provided.
• Experience in equipment installation, servicing, maintenance, troubleshooting, or repair will be an advantage.
• Cleanroom working experience is beneficial but not required.
• Good troubleshooting and problem-solving skills with strong technical aptitude.
• Proficient in Microsoft Office applications.
• Good communication, documentation, and customer service skills.
• Able to work independently and collaboratively in a team environment.
• Willing to travel occasionally and work irregular hours, overtime, shift work, or standby duties when required.

Benefits

• Competitive salary package with overtime compensation.
• Transport allowance upon successful completion of probation.
• Structured training and career development opportunities.
• Exposure to advanced equipment and technologies in a dynamic engineering environment.

Interested candidates are encouraged to submit their resumes outlining their relevant experience and achievements toapply88(@)talentvis.com or click apply!

**We regret to inform that only shortlisted candidates would be notified**

EA License No: 04C3537

EA Personnel No: R22106683

EA Personnel Name: Yang Hui Shan, Sherri

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

SENIOR BACKEND ENGINEER

Responsibility

The Backend Engineer is responsible for designing, developing, and maintaining scalable and secure backend services that power digital products. The role requires expertise in software engineering principles, modern development practices, and cloud-native architecture. Engineers must work in an agile, DevOps-driven environment, ensuring high software quality, reliability, and security.

a)    Collaborate with Business Analysts(BA) and Product Managers to refine user stories and translate them into technical requirements.

b)    Work with Quality Assurance (QA)engineers to ensure automated test coverage and proactively fix bugs and defects.

c)     Partner with DevOps teams to automate build, deployment, and monitoring pipelines.

d)    Develop and maintain scalable, high-performance APIs and backend services in a cloud-native environment.

e)    Implement modern software development practices, including TDD, pair programming, and CI/CD.

f)      Conduct code reviews, enforce security best practices, and ensure software craftsmanship standards.

g)    Design     and     document     system     architecture,         ensuring compliance with government security and regulatory standards.

h)    Excellent written and verbal communication skills to pitch ideas and influence stakeholders.

i)       End to end experience working with product team to build products.

j)       Ability to work effectively and independently under pressure and prioritize effectively to meet tight deadlines.

k)      Computer science, product management related degrees or diplomas are a plus.

l)       Optimize and improve backend systems for scalability, observability, and reliability.

m)   Where applicable, contribute to blockchain and smart contract development.

Experience and Skills Needed

Technical Skills:

a)     Degree or Diploma in Computer Science, Computer or Electronics Engineering, Information Technology, or related disciplines.

b)    Experience with Git and modern branching workflows (GitFlow, trunk-based development).

c)     Proficiency in modern backend programming languages such as: Shell Scripting, Java, Python, Golang, Node.js.

d)    Experience with cloud platforms (AWS, Azure, Google Cloud).

e)       Familiarity with microservices architecture and event-driven patterns is a plus(Kafka, RabbitMQ).

f)      Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).

g)      Experience with CI/CD pipelines(ex. GitHub Actions, GitLab CI,).

h)       Knowledge of database technologies (ex. PostgreSQL, MySQL, MongoDB, DynamoDB, Redis).

i)       Experience with observability tools (Prometheus, OpenTelemetry, Grafana, ELK stack).

j)      Experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation).

k)       Experience with API documentation tools such as Swagger.

Software Engineering Practices:

a)     Experience working in Agile Software Delivery Life cycle and Practices(ex: Scrum, Kanban) with strong collaboration skills.

b)    Knowledge of Extreme Programming (XP) practices such as TDD, pair programming, continuous refactoring.

c)      Strong understanding of test automation frameworks (example: JUnit, PyTest ).

d)    Adherence to software craftsmanship principles, ensuring clean, maintainable, and efficient code.

Bonus Experience (Added Advantage):

a)     Experience working with government digital services and authentication mechanisms (SingPass, CorpPass).

b)     Experience with API gateways and service meshes(Kong, Istio, Apigee).

c)     Experience with serverless computing (AWS Lambda, Azure Functions).