We are looking for someone who is Meticulous, organized, and able to multitask. The person must be well verse with MS Office: Words & Excel.

Job Scope:

• Prepare Payouts

• Support admin and bookkeeping task, including filing and data entry

• Ad-hoc tasks

Work Schedule (choose either options between 20 to 25.5 hours per week) :

1) M-F half day of 4-5 hours daily

2) M-W full day 8:30am to 6pm

Work Location:

1B Senoko Crescent

Senoko Food Connection

Duration of Job:

2- 3 months

Job Responsibilities

• File and organize documents
• Order office supplies
• Help with basic data entry and paperwork

Requirement:

• Min Diploma in any course

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Collect and gather data from internal and external sources, including databases, spreadsheets, APIs, and other data repositories
• Ensure the accuracy, completeness, and integrity of data by performing data validation, cleansing, and normalization procedures
• Collaborate with stakeholders to define data requirements, objectives, and key performance indicators (KPIs) for analysis
• Analyze large datasets using statistical and data analysis techniques to identify patterns, trends, and correlations
• Design and create reports, dashboards, and data visualizations using data visualization tools
• Prepare and deliver regular reports and presentations to communicate findings, insights, and recommendations to management and cross-functional teams
• Manage and update databases, data warehouses, and data repositories to ensure data accuracy, consistency, and accessibility
• Implement data validation and verification procedures to ensure accuracy
• Ensure compliance with data protection regulations and company policies

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and derive meaningful insights
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

No experience/Diploma in Precision/Mechanical/Mechatronic/Electrical/Electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400-$2800+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Address: Gul Circle (Have company bus transportation islandwide)

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Company’s Profile

As Singapore’s leading provider of comprehensive life insurance for over 90 years, they have attained world accredited accolades in providing security to consumers’ lives. They have delivered a suite of product offerings and expert advisory through their extensive network of financial consultants and bank partners.

This role is a back-end support to financial consultants.

No Prior experience but have a passion to join are welcome to apply. Training will be provided.

Work location: Newton

Working hours: Flexible (Catered to your schedule – average 52 hours per month)

Company benefits:

• Career Progession
• High Commission
• Flexible Working Hours

Job Responsibilities:

• Assisting consultants to provide great sales support for their own pool of clients & schedule in-person sessions for them.
• Ensuring the client database is accurately updated so that different categories of clients can be identified more efficiently.
• Support backend operations such as submission of business & reimbursement policy forms with great efficiency.
• Writing an essay report on current financial trends (if required).

Requirements:

• Min. A’ Level/Diploma with a local polytechnic institute
• Candidates that are looking for a jumpstart to the Finance industry are welcome.
• Able to work on weekends and Public Holiday

Interested applicants, Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON or whatsapp to wa.me/6587853279

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

EA Personnel Name: TOH SHIQI
EA Personnel No: R23119083
EA License No: 21C0845

The Job:

• Assist the team in administrative and documentation support to ensure compliance with bank’s policies & procedures.
• Assist scanning and End of the Day reconciliation
• Assist in batching of trade related documents and batching of forms

The Requirements:

• Min GCE O Level and Above
• Training will be provided
• Proficent in MS Office
• Min 1-2 years of admin working experience

Interested applicants can send their detailed resumes to [email protected] or call JANE @ 6735 1955.

CEI: R1104482

JANE LUI JIE'EN

RCB Nos: 19960130W, EA 99C4599

Position: Data Engineer

Location : Cental, Singapore

Duration: 12 months (renewable)

Job Summary:

As an augmented resource in the Enterprise Knowledge Department, you play an important role in transforming how MAS works with structured and unstructured data. You will be part of a dynamic team responsible for developing, enhancing and maintaining IT systems/applications that support data management needs.

Key Responsibilities

• Analyse the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues.

Requirements:

Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Position: Data Engineer

Location : Cental, Singapore

Duration: 12 months (renewable)

Job Summary:

As an augmented resource in the Enterprise Knowledge Department, you play an important role in transforming how MAS works with structured and unstructured data. You will be part of a dynamic team responsible for developing, enhancing and maintaining IT systems/applications that support data management needs.

Key Responsibilities

• Analyse the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues.

Requirements:

Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and Python.
• Collaborate with data scientists, analysts, and other engineers to ensure efficient data flow and processing.
• Manage and optimize data workflows in AWS cloud environments.
• Ensure data quality through data cleansing, validation, and monitoring.
• Automate and optimize existing data pipelines to improve performance and reduce manual intervention.
• Work closely with stakeholders to understand business requirements and translate them into technical solutions.
• Troubleshoot and resolve issues related to data processing and workflow execution.

Requirements:

• 3-5+ years of hands-on experience with Databricks and Python in a production environment.
• Proven experience with AWS cloud services for data engineering workflows (e.g., S3, Lambda, Glue, Redshift).
• Strong knowledge of SQL and experience with relational databases.
• Solid understanding of data processing and transformation techniques.
• Familiarity with data architecture principles, ETL processes, and big data technologies.
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Experience with data visualization tools like Power BI or Tableau.
• Knowledge of Spark, Airflow, and other data orchestration tools is an advantage
• Strong understanding of DevOps practices for data engineering (CI/CD pipelines, version control, etc.).

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and Python.
• Collaborate with data scientists, analysts, and other engineers to ensure efficient data flow and processing.
• Manage and optimize data workflows in AWS cloud environments.
• Ensure data quality through data cleansing, validation, and monitoring.
• Automate and optimize existing data pipelines to improve performance and reduce manual intervention.
• Work closely with stakeholders to understand business requirements and translate them into technical solutions.
• Troubleshoot and resolve issues related to data processing and workflow execution.

Requirements:

• 3-5+ years of hands-on experience with Databricks and Python in a production environment.
• Proven experience with AWS cloud services for data engineering workflows (e.g., S3, Lambda, Glue, Redshift).
• Strong knowledge of SQL and experience with relational databases.
• Solid understanding of data processing and transformation techniques.
• Familiarity with data architecture principles, ETL processes, and big data technologies.
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Experience with data visualization tools like Power BI or Tableau.
• Knowledge of Spark, Airflow, and other data orchestration tools is an advantage
• Strong understanding of DevOps practices for data engineering (CI/CD pipelines, version control, etc.).

Data Engineer (Databricks, Python and AWS)

Skills / Experience Requirements

(Must have & good to have)

More than 3 to 5 years of experience in Databricks, Python.

Need to have Python and Databricks skills. Working exp on AWS cloud is preferrable,

Databricks, Python and AWS

Skills / Experience Requirements

(Must have & good to have)

More than 3 to 5 years of experience in Databricks, Python.

Need to have Python and Databricks skills. Working exp on AWS cloud is preferrable,

Databricks, Python and AWS

Job Description:

• Extract and clean data from various sources to generate daily, weekly, and monthly reports.
• Write SQL queries for quick data retrieval.
• Fulfill ad-hoc data requests from clients and management.
• Collaborate with developers to automate reporting.
• Liaise with clients regarding data-related queries.
• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.
• Develop and maintain dashboards and reports to monitor KPIs.
• Identify trends and patterns to support operational improvements and strategy.
• Collaborate with management to provide actionable insights and recommendations.
• Support process improvement implementation based on data findings.
• Ensure data accuracy and integrity.
• Assist in demand forecasting and capacity planning using historical data trends.
• Stay updated on industry best practices and emerging technologies in data analysis.
• Perform other duties assigned by management.

Job Requirements:

• Bachelor’s degree in Business, Computer Science, Mathematics, Data Analytics, or a related field.
• 1–3 years of experience in report building using Excel, SQL, AWS QuickSight, or other BI/data analytics tools.
• Proficiency in data analysis tools (Excel, SQL, Python) and data visualization software (Tableau, Power BI).
• Experience in data analysis, preferably in a contact center environment.
• Strong communication and presentation skills.
• Ability to work independently with minimal supervision.
• Excellent time management, critical thinking, and ability to work under pressure.
• Detail-oriented with a focus on data accuracy and integrity.
• Familiarity with statistical analysis and modeling

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret only short-listed candidates will be notified.

Our Client:

• Electrical Equipment Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Responsibilities for Data entry assistant

• Transfer data from paper formats into computer files or database systems using keyboards, data recorders or optical scanners
• support in adhoc admin duties
• Create spreadsheets with large numbers of figures without mistakes
• Verify data by comparing it to source documents
• Update existing data
• Retrieve data from the database or electronic files as requested
• Perform regular backups to ensure data preservation
• Sort and organize paperwork after entering data to ensure it is not lost
• Greet visitors and point them in the right direction, answer inquiries, and create a welcoming environment
• Organize and maintain files and databases in a confidential manner
• Manage communication including emails and phone calls
• Screen phone calls, redirect calls, and take messages
• Schedule appointments, meetings, and reservations as needed
• Receive invoices and review for accuracy
• Assist HR Manager on all related HR/Admin duties
• Team player to work in office environment

Qualifications for Data entry Assistant

• High school diploma or general education.
• 1-2 years of clerical, secretarial, or office experience
• Proficient computer skills, including Microsoft Office
• Strong verbal and written communication skills
• Any additional certifications
• High degree of attention to detail
• Data entry experience
• Working knowledge of general office equipment

Dear all,

We are looking for part timers to help with data entry.

Candidates must be good with computers and able to work in our office in Tai Seng using laptops.

Working hours 0830-1730 with one hour break.

Teaching and laptops will be provided.

Rates $8.50 per hour.

Please email me at [email protected] or whatsapp me at 97651525.

Regards,

Dr Mok

Pinnacle Medical Group Pte Ltd

Lead APAC strategy to drive recruitment & retention

• Co-build with the market a strong CRM omnichannel strategy to drive repurchase and loyalty, and develop a year round CRM action plan aligning with our APAC priorities
• Work with markets to animate campaigns, support CRM activities and/or mechanics to target relevant customers groups (Club Clarins, VIPs, prospects, Make up vs Skincare…).
• Oversee and develop the Loyalty strategy (Club Clarins Program) together with Global and countries, support countries in the evolution and animation of their Club Clarins Program (Tiers, brand identity, Member’s day) & Loyalty Engine
• Drive cross-product segments/categories link-selling and penetration through best practice sharing focusing on key product campaigns and customer segments
• Propose operations & mechanisms to increase contractibility (mobile and email opt-in in markets) and improve main KPIs : decrease churn rate & Increase New Customer Repeat rate
• Develop and implement the CRM loyalty program, membership campaigns and marketing automation rules to achieve customer retention and loyalty KPIs
• Oversee the setup and implementation of triggers campaigns, including recommending the target audiences for campaigns based on briefs submitted by markets

Drive Analysis & insights related to the customer

• Utilize CRM & CX data to generate insights, track KPIs and drive actionable recommendations and strategy to improve customer interaction and retention.
• Support marketing teams to understand Customer behaviour (retention, cross sell, link sell…) for specific product launches or campaigns.
• Support other transversal teams (Retail, E-commerce) for deep dive into customer profiling (Mega campaign, new store…)
• Continuously track key performance metrics of customer database and measure the impact of CRM initiatives, to evaluate effectiveness as well as for reporting to key stakeholders.
• Analyze customer purchase patterns, migration of customers, and recruitment of new customers per channel and retention of existing customers to support APAC main CRM KPIs
• Advise and challenge markets to develop strong customer knowledge within CRM teams
• Generate insightful reports, post-campaign analysis to optimize the strategy and its implementation
• Performs Consumer Journey Mapping and analyzes business touch-points in order to increase the business’s commercial opportunities

Drive Clientelling strategy, approaches and manage customer development and acquisition initiatives in close collaboration with Retail & training teams

• Creation and execution of regional Clientelling strategy, plan and tools based on global strategy and local needs
• Champion in-market understanding, adaptation, and roll-out of new/existing tools, data, training, and programs across retail stores and remote selling
• Deliver the development and management of strategies for attracting new clients.
• Drive client development, lifecycle planning and new Clientelling tactics to grow business from existing clients
• Strong collaboration with Marketing, Retail & Training team to create synergies and workflows focused on customer centricity
• Provide data-driven insights into customer behavior to inform business strategies, including analysis by profile, segment, and product line
• Setting up of CRM benchmarks and then regular monitoring of loyalty and customer metrics.
• Support other teams (CX, EC, marketing) in leveraging the Clientelling tool
• Propose evolutions & recommendations to constantly improve the outreach and the features of the tool

Drive Customer Experience strategy

• Define in line with Global the APAC customer care guidelines & strategy
• Support the implementation of AI chatbot, Line, Kakao, and other global tools across APAC Customer Experience teams
• Analyse and share internally (local & global) Customer Care KPIs, NPS and SLAs
• Recommend APAC customer voice strategy & evolutions by listening to voice call records, customer verbatim/reviews from NPS/CSAT
• Analyse and recommend actions/evolution to enhance the consumer experience on Clarins.com based on customer care insights

Oversee APAC market’s CRM platforms & tools

• Support APAC project team and Global teams to implement CRM projects (Clientelling, customer care) that align with local market needs
• Be a key partner for the successful installation / roll-out of the new & best in class tools in APAC
• Ensure the relevancy and effectiveness of local CRM tools in managing customer data, segmentation and targeted campaigns taking into consideration local specificities
• Ensure compliance and security with data protection and safeguard customer data and will also stay with industry trends, emerging technologies and local channels and specificities
• Master all key CRM tools from a business user point of view (Loyalty, Clientelling, Campaign management…)

Lead and animate APAC’s local CRM & CX teams

• Be the regional center of excellence for CRM, data analytics and CX and the champion of consumer intimacy in the region
• Work closely with transversal teams (CRM, Marketing, Retail, EC) and stores to always ensure a deep understanding of the consumer
• Collaborate with Global teams (HQ in France) to represent APAC needs and local specificities and ensure global tools and strategies are always up to date
• Train and animate APAC markets, guide them on CRM practices and tools and techniques to maximize efficiency and productivity

Other responsibilities may be added to the above, which are consistent with the title Senior Manager - CRM, CX & Consumer Data, Asia Pacific

YOU HAVE:

• Preferably Business Degree, focus on CRM/Customer Experience/Business management/Marketing
• 10 years of experience in B-to-C CRM, analytics & Digital (both on and offline), preferably retail industry
• Strong presentation skills with excellent written and verbal communication skills
• Customer-focused, results-oriented and passionate about customer engagement
• Strong interest in understanding consumer insights and behaviour, with an eye for detail and a broad sense of perspective
• Expertise in CRM lifecycle planning, and experience in Loyalty program management
• Good proficiency in Marketing Automation (Adobe Campaign preferred)
• Knowledge of data visualisation tools (Qlik Sense or Tableau)
• Good with numbers, have strong analytical skills and problem-solving capabilities
• Digitally-minded with an awareness of online trends and innovations
• Ability to communicate clearly and create good relations with others
• Strong collaboration and influence skills, being open minded and adaptable, eager to embrace new challenges

WE HAVE:

• Close to 70 years of expertise in beauty and spa, with the Clarins and myBlend brands
• Unique products and innovative services
• A commitment to Social & Environmental Responsibility embedded in our raison d'être
• A caring and inclusive corporate culture
• Development and training opportunities
• Attractive compensation and benefits
• A flexible work environment, with up to 2 days of remote working per week

If you have a curious mind, a thirst to go further and the drive to boldly take on new challenges, join us.

At Clarins Group, we believe in making life more beautiful for our employees and our customers. Inclusion and diversity are firmly grounded in our core values, which are part of our DNA. We strive to achieve inclusiveness and we foster an equal-opportunity culture where everyone can reach their full potential and do their best work. We welcome applications from all backgrounds.

Responsibilities:

• Develop job descriptions, identify qualifications, and devise recruitment strategies with hiring managers
• Utilize various methods to source and screen candidates, including job boards, social media, and referrals
• Conduct interviews and assessments to evaluate candidate qualifications and cultural fit
• Foster positive relationships with candidates throughout the recruitment process
• Collaborate with hiring managers and HR to manage job offers and onboard new hires
• Keep hiring managers and HR informed of recruitment status

Requirements:

• Diploma or Bachelors in any discipline, mentorship will be provided
• Excellent communication and interpersonal skills
• Ability to build strong relationships with candidates and hiring managers
• Strong organizational and time management skills with the ability to manage multiple priorities

Interested applicants, please Email , and look for [email protected]

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

We regret that only shortlisted candidates will be contacted.

* Excellent customer service and customer acquisition

* Brand enhancement for reputable clients

* Conducting presentations

* Assisting in the local and regional expansion of our organisational growth

* Developing coaching skills

Benefits:

* One-to-one guidance

* Transparent career growth

* Leadership and personal development workshops

* Global overseas exposure

* Vibrant team environment

Requirements:

* Keen to learn, self driven individuals

* Team player with entrepreneurial mindset

* Good interpersonal skills

- Salary: $13/hr

- Location is at Machperson

- Accurately entering data into systems

- Data Entry

- Contacting clients to verify information

- Ad hoc Duties

Interested applicants may email resume to [email protected]

Cheryl Lee Shi Le (CEI Registration No: R1434624)

Recruit Express Pte Ltd (EA: 99C4599)

Job Description

• Data Entry
• General Admin Duties, Filing of Documents
• Provide Administrative Support to Account team
• Responding to incoming Email and Phone Enquiries
• Adhoc duties assigned by Management

Requirements:
• Required skill(s) : MS Excel, MS Office
• With/ Without Work Experience
• Willing to learn

Job Description:

• Guiding and de-risking the delivery of data projects, promoting working iteratively to incrementally add value. Mediating, resolving conflicts and escalating when necessary.
• Supporting cross-functional data teams delivering data platforms, products and services in the cloud and in clients’ data centres.
• Providing expertise on data privacy and information security topics whilst keeping up to date with relevant legislation e.g., GDPR, ensuring our clients’ regulatory compliance.
• Building capability in the architecture community and collaborating with other data roles such as other Architects, Data Engineers, Data Analysts and Data Scientists (i.e. providing guidance, support, and knowledge-sharing opportunities through forums and talks).
• Mastering the big data world and help our customers to make their own data fit for business or operational purpose, whether in the Cloud or in their own data center.
• Leading data and devops engineers within your teams

Purpose: To create, control and manage changes to customer's Technical Product Data (TPD) packages (Items, Bill of Materials, Product specification documents) in the Product Lifecycle Management (PLM) and Enterprise Resource Planning (ERP) systems. To deploy TPD changes to the relevant Persons-in-Charge (PICs) for execution.

Key Area of Responsibilities:

• Check the correctness and completeness of product packages, such as Technical Product Data (TPD) and Bill of Materials (BOM) received from customers.
• Work with the user of TPDs to define the new TPD requirement and update the ISO document (for new customers or any change in TPD requirement).
• Maintain required customer items, BOM, and TPDs in PLM and ERP systems.
• Create and control the item part number, BOM and TPD in the PLM and ERP systems.
• Create projects in the ERP system for the fulfillment of customer Sales orders.
• Implement Engineering Change Order (ECOs) and deploy the changes to the next inline PIC (such as planner, purchaser, process engineer and Sales & Program dept.)
• Check and ensure all required information for the TPD (items, BOMs, documents) and/or configuration change are provided, and approved by the customer.
• Support and participate in company continuous improvement program.

Qualification & Experiences:

• Diploma/Degree in Mechanical Engineering/Science or relevant field.
• Minimum 2 years of working as a product data engineer in the semiconductor industry or similar position.
• Proficient in Microsoft Excel functions
• Good communication skills

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us.

Roles and Responsibilities:

• Design and develop scalable data pipelines using Databricks, ensuring data integrity and availability.
• Collaborate with stakeholders to understand their data needs and provide solutions.
• Assist users in utilizing Databricks effectively, providing training and support to enhance their data processing and analysis capabilities.
• Monitor and optimize data workflows and queries for performance improvements.
• Implement best practices for data governance, security, and compliance within Databricks environments.
• Document data architecture, pipelines, and processes for knowledge sharing and future reference.
• Troubleshoot and resolve issues related to data processing and Databricks functionalities.

Skills Required:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer with a strong focus on Databricks.
• Proficiency in SQL and data modeling techniques.
• Experience with ETL tools and data integration processes.
• Excellent communication skills with the ability to explain complex concepts to non-technical users.
• Experience in providing user support and training is highly desirable.

About this role

We are looking for a Senior Data Engineer who will be the first hire dedicated to data engineering within our multi-manager hedge fund. This is a unique opportunity for someone who thrives in a zero-to-one environment, where you’ll be responsible for building and scaling our data infrastructure from scratch. The ideal candidate is passionate about data architecture and is excited to lead the effort to establish robust data systems that support both operational and investment decision-making.

Key Responsibilities

• Architect, develop, and deploy scalable data pipelines to support a multi-manager trading strategy.
• Design and manage both structured and unstructured data systems from diverse sources.
• Ensure the availability, reliability, and integrity of the firm’s data assets.
• Collaborate with portfolio managers, analysts, and developers to understand data needs and translate them into technical solutions.
• Implement data quality measures, monitoring systems, and anomaly detection for continuous improvement.
• Provide guidance on data management, governance, and best practices across the organization.
• Lead data-related projects and contribute to the strategic roadmap for the company’s data engineering capabilities.
• Act as a mentor to junior engineers as the team grows.

Requirements & Qualifications

• Proven experience in building data systems from scratch (zero-to-one experience highly valued).
• Strong knowledge of data modeling, ETL pipelines, and data warehousing techniques.
• Programming proficiency in Python, Scala, or Java.
• Hands-on experience with SQL and NoSQL databases.
• Experience with big data tools (Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure,GCP).
• Familiarity with data orchestration tools like Airflow.
• Knowledge of financial data systems is a strong plus.
• Minimum 7+ years of data engineering experience, preferably in financial services or trading environments.
• Strong ability to work independently and collaborate with cross-functional teams.
• A Bachelor’s degree in Computer Science, Engineering, or a related field.
• Self-driven with a strong sense of ownership & bias for action.• Being a team player is key. We are a small but growing team, and we believe in building an environment that fosters a sense of belonging for all of our employees.
• Be present at the office at least 4 times a week.

Nice-to-Haves

• Exposure to machine learning pipelines and advanced analytics.
• Familiarity with Bloomberg API or other financial market data sources.
• Experience with data visualization tools (Tableau, PowerBI).