Total 2,631 software test engineer job vacancies in D14 Geylang, Eunos

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Data Engineer. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB TYPE:

Long Term Contract

Responsibilities:

· Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.

· Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.

· Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks.

· Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.

· Implement data governance in line with company standards.

· Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.

· Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).

· Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

Requirements:

Must haves

· Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.

· Extensive experience designing data solutions including data modelling is required.

· Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.

· Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.

· Experience working with both real-time and batch data is important.

· Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.

· Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.

· Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have

· Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain, Customer Interaction, etc. is highly desirable.

· Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.

· Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or share the updated cv to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Khalid Farooq

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy.

Industry: Manufacturing

Located at Ubi

Japanese MNC

Have AWS + Bonus + Yearly increment

Mon to Fri 8.30am to 5pm

Basic $2400-$2800+fix allowances $500 or $1200 (own car)

Training provided

Job Description

• To support, troubleshoot and maintain automation machine in Field / Site.
• To setup and debug automation machine in factory.
• To support commissioning and decommissioning on automation machine.
• To provide training to customer for automation machine at site.
• To assemble Mechanical modules, reference from CAD model.
• To troubleshoot errors in design on First Article machine.

Requirements

• Diploma in any Engineering
• No experience / fresh entry welcome to apply

Applications:

Please submit a copy of your updated CV in MS Word format stating to [email protected]:

• Current Salary
• Expected Salary
• Date of Available and Reason for Leaving

All applicant will treated private and confidential

Emily Fong

Senior Talent Specialist

Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443

EA Personnel Reg No.: R1768368

Responsibilities:

• Resolve incidents within SLA timeframe and conduct root cause analysis for effective problem resolution.
• Escalate unsolvable incidents/problems to the Operation Lead or Service Delivery Manager.
• Collaborate with OEM/vendor/subcontractor for technical support escalation.
• Implement service and change requests, ensuring timely completion within SLA.
• Deploy approved patches/releases/configuration changes for the operating system and system software in accordance with change requests.
• Ensure meticulous backup of administered systems and execute system recovery when necessary.
• Conduct routine tests to verify configurations or backup data.
• Maintain system configurations and facilitate the integration of new technologies into existing environments.

Requirements:

• Minimum 2 years of relevant experience.
• Dynamic, customer-oriented with a diligent attitude, thriving in a fast-paced environment.
• Strong analytical skills and ability to collaborate effectively for problem resolution.
• Familiarity with any of the following technologies is advantageous:Vulnerability Management Systems
  Reverse Proxy
  Patch Repositories (Patch Management, Patch Manager)
  AD Infra (MS AD, AWS AD, etc.)
  Endpoint Protection – Desktop, Clients
  Enterprise Backup
  Next Generation Firewall
  Privilege Access / Identity Management
  Infra Automation Platform
  AWS full suite
  

Data Engineer

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

We are currently looking to hire Data Engineer. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

ROLES AND RESPONSIBILITIES

· Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.

· Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.

· Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks.

· Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.

· Implement data governance in line with company standards.

· Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.

· Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).

· Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

REQUIREMENTS

Must haves

· Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.

· Extensive experience designing data solutions including data modelling is required.

· Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.

· Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.

· Experience working with both real-time and batch data is important.

· Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.

· Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.

· Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have

· Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain, Customer Interaction, etc. is highly desirable.

· Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.

· Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected] Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name : Keerthana Ramakrishnan

Avensys Consulting Pte Ltd
EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy.

Key Responsibilities

• Developing and maintaining the entire DevOps pipelines.
• Coordinate with the stakeholders from requirements gathering until successful implementation DevOps pipeline on boarding.
• Work with the vendors to setup centralized DevOps solutions considering market best practice, Industry standard and ease of support.
• Work with the vendors to upgrade the DevOps tools farm and Integrating with tools.
• Lead analysis and resolution of root cause for Test Orchestration / Environment related issues.
• Ability to multitask and work in a fast-paced, collaborative team environment.
• Excellent written and oral communication skills; writing, publishing and conference-level presentation skills.
• Stays current with industry trends and leads development of key DevOps, Runtime, and Operational innovation platforms.

Key Requirements

Must:

• Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode, JIRA and Confluence).
• Prior technical background on different build strategies.
• Deep technical background on Kubernetes deployment process.
• Good knowledge on maintaining/deploying secrets in Kubernetes.
• Strong working experience in setting up Jira workflow.
• Strong hands on experience on Shell or Groovy scripting.
• Deep technical background on AI - ML.
• Prior experience is customizing JIRA and Setting up confluence spaces.
• Prior hand-on experience in setting up CI/CD pipeline as a centralized solution.
• Hand on experience in setting up DevOps governance, Security standards and audit requirements.
• Prior experience in setting up DevOps pipeline in internal and external could offerings.
• Experience with continuous testing, techniques and tools (Junit, Sonar Cube, Veracode etc.)
• Technical exposure of automation accomplished with advanced Python, Chef, Ruby and PowerShell.
• Extensive experience in virtualization, cloud infrastructure and related technologies.
• A strong passion for infrastructure as code and associated automation and provisioning tools.
• Proven record of accomplishment of being results orientated with demonstrated ability to achieve aggressive goals.
• Excellent communication skills.

Should:

• Build relationships, obtain buy-in for proposed changes.
• Evidenced delivery of complex projects.
• Security concepts and what makes for a secure solution.
• Analyzing, documenting and validating business requirements.
• Ability to advice on industry standard tools for monitoring, alerting, configuration management and performance tuning.
• Able to design a strategy and then execute against it.
• Knowledge of AS400, mainframe beneficial.
• Comfortable working in a challenging environment.

Roles & Responsibilities

The executive engineer is responsible for the design, diagnostic, testing as well as repair and overhaul of mechanical, electrical and electronic components of the chillers and other related systems in support of our overall chiller manufacturing process. The engineer shall be required to independently plan, schedule, coordinate and optimize on-site and workshop activities and coordinate with the sales and marketing team where required.

Key Responsibilities:

Design, diagnose, test as well as repair and overhaul mechanical, electrical and electronic components of the chillers and other related systems

Spearhead digitization of existing chillers through selection, adoption and/or redesign of PCB & PLCs

Coordinate and liaise with internal production, sales & marketing team as well as external end customers, contractors and consultants on-site

Supervise and check suppliers’ works and/ or end customer requirements according to design drawings, specifications and regulation (local codes or relevant international design codes)

Check and ensure the equipment and material offered in compliance with the specification and drawings.

Generate engineering & electrical drawings with Autocad software

Issue documentation for electrical & instruments - block diagram, control philosophy, cause & effect control philosophy, power loading list, control panel general arrangement drawing

Perform all other duties as assigned and required.

Requirements:

Candidate must possess at least Diploma in Engineering (Electrical/Mechanical) or equivalent.

At least 4 - 6 year(s) of working experience in Electrical/Mechanical related fields is required for this position

Required Skill(s): Autocad, Microsoft Office

Required Certification(s): Licensed Electrical Engineer OR Licensed Electrical Technician

Required Spoken and Written Language(s): English, Mandarin

Preferably with class 3 driving license