• To lead a group of Production Technicians in the safe and smooth running of the production.
• To assist the Process Engineer to conduct activities and projects to optimize operation during Shift to achieve operational and cost-efficiency.
• To troubleshoot plant/equipment/quality issues and recommend counter-measures.
• To monitor and ensure plant equipment integrity and reliability.
• To assist the Process Engineer to support Shift operation by providing suitable operating conditions for stable plant operation and product quality control.
• To train and develop team members.

• Applicants should possess a Degree in Chemical Engineering or its equivalent
• Applicants should have knowledge of process control and troubleshooting, and hands-on knowledge of plant equipment and instrumentation.
• Essential prerequisites include good analytical and technical report writing skills, ability to be a team player with leadership, initiative, drive & commitment, ability to take the pressure, and able to communicate well with other

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1875181

Triton AI Pte Ltd

License no. 21C0661

• Permanent position, Salary up to $3,300 with AWS + Bonus
• Chemical Manufacturing Plant, Jurong Island
• Transport Provided at the designated area
• 12 Hours shift role (8am - 8pm/ 8pm - 8am)

• Manage Day to day operations Infrastructure on Microsoft Platform - AD, GPO, WSUS, Netbackup and Vmware etc
• Manage monitoring infra using SolarWinds for all VMs and OS services.
• Work with cross-functional (Apps, Network and Cyber Security) teams for service request or incidents.
• Monitor system performance, troubleshoot issues, and implement necessary fixes or enhancements.
• Conduct regular system health checks and capacity planning to anticipate and address potential bottlenecks.
• Implement security best practices and ensure compliance with industry standards.
• Collaborate with vendors and technical support teams to resolve complex technical issues.
• Document system configurations, processes, and procedures for knowledge sharing and future reference.
• Perform monthly patching cycle.
• Resolve all incidents within SLA.

Requirements:

• Minimum three (3) years of IT experience, with two (2) years of server and virtualisation platform operations management experience; and backup infrastructure operations experience.
• Patch management experience for Windows systems.
• Strong Working knowledge on VMWare Cluster, Storage LUNs creation.
• Working Knowledge monitoring tools like SolarWinds, for day-day monitoring and incident resolution.
• Knowledge on CyberArk PIM process.
• Preferably possess patch management experience for Linux/Unix systems and patch automation experience.
• Preferably VMWare Certified Professional, Microsoft Certified System Administrator or equivalent.
• Preferably have experience in an enterprise organisation, managing more than 1000 systems.
• Ability to operate odds hour and standby duty
• Team Player

We are seeking a talented and experienced Data Engineer cum SAS Consultant to join our team. The ideal candidate will possess a strong background in data engineering, SAS programming, and proficiency in Python and Spark or PySpark. The role involves designing, developing, and implementing data solutions while leveraging SAS tools to provide insightful analytics. The candidate should have a passion for data, strong problem-solving skills, and the ability to work collaboratively in a dynamic environment.

Key Responsibilities:

1. Data Engineering:

• Design, develop, and maintain scalable and efficient data pipelines for large volumes of structured and unstructured data.
• Collaborate with cross-functional teams to understand data requirements and implement solutions that meet business needs.

• Utilize SAS programming skills to extract, transform, and load (ETL) data for analytical purposes.
• Develop and implement SAS solutions for data manipulation, statistical analysis, and reporting.
• Provide expertise in SAS programming to support analytics and business intelligence initiatives.

• Proficient in Python for data manipulation, analysis, and automation.
• Experience with Spark or PySpark for distributed data processing and analytics.

• Perform exploratory data analysis to identify trends, patterns, and anomalies in the data.
• Collaborate with data scientists and analysts to deliver actionable insights from complex datasets.

• Implement data quality checks and ensure the accuracy and reliability of data used in analytical processes.
• Troubleshoot and resolve data-related issues in a timely manner.

• Create and maintain comprehensive documentation for data pipelines, SAS programs, and analytical processes.

• Work closely with business stakeholders, data scientists, and other team members to understand requirements and deliver effective data solutions.

• Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer with a focus on SAS programming.
• Strong proficiency in Python and experience with Spark or PySpark.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration skills.
• SAS certification is a plus.