Responsibilities:

• Lead the commissioning and qualification processes for benchtop and process equipment
• Conduct qualification activities for analytical laboratory equipment, including HPLC and GC-MS.
• Author DeltaV recipes for system functionality.
• Develop MES (Manufacturing Execution System) recipes using platforms such as Siemens OpCenter / XFP, PAS-X, and Syncade.
• Conduct cleaning validation activities with a specific emphasis on CIP for pharmaceutical manufacturing equipment and processes.
• Develop and execute cleaning validation protocols, ensuring compliance with regulatory requirements and industry standards, especially in the context of procedures.
• Perform risk assessments and gap analyses related to CIP processes and equipment.

Requirement:

• Bachelor's degree in Chemical Engineering, Pharmaceutical Sciences, or a related field.
• Commissioning and qualification experience is a added advantages.
• DeltaV recipe authoring.
• MES recipe authoring (Siemens OpCenter / XFP, PAS-X, Syncade).
• Proven experience in cleaning validation within the pharmaceutical industry.

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

Reg No. R1549345

Triton AI Pte Ltd

License no. 21C0661

Design, implement, and maintain scalable and efficient data pipelines using SAS, Spark, Python, and PySpark.
Ensure the smooth flow of data from various sources to destination systems.
Utilize SAS, Spark, Python, and PySpark for efficient data processing.
Design and implement data models to support business requirements.
Work closely with data architects to ensure data models align with organizational needs.
Implement data quality checks to ensure accuracy and consistency.
Adhere to data governance policies and maintain data integrity.
Optimize data processing and query performance using SAS, Spark, Python, and PySpark.
Identify and resolve bottlenecks in the data pipeline.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements

Bachelor's degree in Computer Science, Information Technology, or a related field.
Proven experience as a Data Engineer with expertise in SAS, Spark, Python, and PySpark.
Experience with big data technologies and distributed computing.
Proficient in SAS, Spark, Python, and PySpark.
Strong problem-solving and analytical skills.
Excellent collaboration and communication skills.
Familiarity with data security and privacy best practices.
Experience with big data technologies such as Hadoop is a plus

Kasagi

Kasagi is a haven for anime fans of all backgrounds, providing a platform for artists, writers, animators, musicians, programmers, and more to collaborate and celebrate their shared passion. At Kasagi, we empower one another by democratising the process of funding, creating, and enjoying the anime art form we all treasure.

Kasagi breathes life into beloved anime characters, allowing them to share their daily routines and interact with us in their free time. This connection fosters a deep bond between fans and their favourite characters, while Kasagi acts as a gateway to preserving the essence of anime for future generations to experience and love just as we do.

Under the Kasagi brand, we are also launching anime-related lifestyle tech products in Q1 2024.

What you can expect to work on

• Iterate rapidly on build cycles: Work through sprints to write clean code from frontend, to backend, smart contracts in a way that takes our future roadmaps in mind
• Align across departments: Ensure that cadence of building is aligned across concurrent build phases, breaking down tasks and prioritising
• Maintain high standards for code: Maintain a balance between trade offs such as speed, security, scalability and more during the build phases
• Attract and groom engineering talents for Kasagi Labo: Exceptional engineering talents are rare and we need to be able to attract them

• Relevant experience: Have 5+ years as a Senior Software Engineer in a fast paced iterative product environment
• Interest in Anime: Have demonstrable experience or interest in Anime and / or Anime related industries
• Technologies: Comfort with picking up new technological tools across frontend, backend, platform and blockchains, with brownie points for following technologies:
• Next.js on Vercel
• Supabase
• AWS
• PostgreSQL
• JavaScript
• TypeScript
• Python
• Solidity
• Ethereum
• Kotlin
• Android
• Swift
• iOS
• Communication: Have strong communication skills to align between both internal and external stakeholders
• Team player: Have desire to take ownership of projects and work with a team that is highly driven to push them through

• On The Edge of Innovation: Comfortable picking up and working on the latest technologies, such as Generative AI, Blockchain and more

Benefits and why you’ll love working with us

• We Listen. Your voice, ideas, and suggestions matters to us, as we continuously evolve
• Our People. You’ll be working with a diverse, multicultural, international, talented, fun, supportive, and innovative people and teams. We are people you can be proud to work with
• On The Edge of Innovation. Working on the latest technological, social and entertainment trends.
• Flat Organisation. Our team is a community, we work together as a team from all levels in a true decentralised spirit

• 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.