• Assisting with shipping documents and invoices
• Performing of general housekeeping within the workplace and maintaining of a safe working environment
• Preparing of shipping document and import/export documentation.
• Any other ad-hoc duties as assignedData Entry/Admin Support (West Area) - AC

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

We are looking for someone to do data entry and admin work.

Location: Boon Lay

Monday - Friday 8.30am to 6.00pm

Job Description

Look through documents and invoices

Type and enter specific information and details into system

Sort and file documents in an organized manner

Requirements

Minimum GCE N' Level

Proficient in MS Word and Excel

Be meticulous and hardworking

Able to work as a team and communicate well with others

For enquiries, you can contact Mr Theva (hr) at 6220 1288 at , 9:00am-6:00pm (Mon to Fri).

We regret only shortlisted candidates will be notified.

For more jobs, please see https://www.mlpc.com.sg/job-seeker/

ML Consulting Pte Ltd EA License No: 91C2939

Duties & Responsibilities:

• Transfer data from hard copy to a digital database.
• Verify outdated data and make any necessary changes to records.
• Input text-based and numerical information from source documents.
• Sort and organize hard copies of paperwork after entering data electronically.
• Review data for deficiencies or errors.
• Provide data entry support across departments on an ad-hoc basis.
• Type in data quickly and efficiently.

Requirements:

• Minimum “N” Levels or equivalent.
• Mature, responsible and able to work with minimal supervision.
• Able to start work immediately or within short notice.

Additional Information:

• Working Location: Alps Ave.
• Working Hours: 5.5 working days, Day shift.
• Company Transport: Pick-up points - Bedok, Pasir Ris, Tampines, Punggol, Sengkang.

How to Apply:

Interested applicants may click 'Apply' or contact the Recruitment Team via WhatsApp at +65 97815157 (Lijun).

Provide general adminstrative duties and clerical support

Filling and and organizing records, invoices, and other documentation

managing incoming and outgoing correspondence including phone calls, emails

input orders and data entry

generating delivery orders

tracking customer orders to ensure on-time collection or delivery of shipment

co-ordinating with customers on appointment

ad-hoc duties as and when assigned

team player and training provided

JOB DESCRIPTION -

- Data Entry

- Documents Checking / Filing

- Issue work order / invoice

- Issue Delivery Order

- Prepare sales documents such as delivery order, packing list, etc

- Track and ensure proper documentation and paper trail

JOB REQUIREMENTS -

· ITE Cert in accounting or equivalent

· Knowledge of MS Office

· Able to multi-task and willing to learn

- Well organized, meticulous and good time management

Job Description:

• Perform daily data entry duties and depot operations activities
• Maintain, update and ensure accuracy of daily movement report
• Raise estimates of repair of containers for clients
• Attend & respond promptly to customers’ orders & enquiries
• Other ad-hoc duties as assigned by superior

Qualifications & experience:

• O Level, Nitec or equivalent
• Min. 1 year working experience preferred
• Able to communicate in Mandarin in order to liaise with Shanghai HQ and PRC drivers (customers)
• Willing to learn
• Willing to work overtime / weekend / PH (as required according to Vessel / Container Schedule)

Working hours:

Monday to Saturday (Alternate Sat off) -8AM to 5PM

Work location: Islandwide - SG

Work days: Monday-Friday

Work Time: 9am-6pm/10am-7pm

Benefits: AWS, Medical Insurance, AL, MC, HL according to MOM rule and regulations.

Responsibilities:

- Manage the maintenance and daily operations of the DC facilities

- Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.

- Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities

- Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a data center operation and etc.

- Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.

Qualifications:

- ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification

- No experience required as training will be provided

- Team player and fast learner

- General technical and functional knowledge of data center infrastructure

• Working Days: Mon Fri 830am to 530pm
• Location: Ang Mo Kio
• Salary: $1,800

Job Responsibilities:

• Perform data entry tasks with accuracy and efficiency.
• Assist in issuing invoices and managing related documentation.
• Support day-to-day office operations, ensuring smooth and efficient workflows.
• Handle additional administrative duties as assigned.

Job Requirements

• Proficiency in Microsoft Office

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

• Basic Salary - $1800 to $2100
• Working Days - Mon to Fri + alt sat (8.30am to 5.30pm / 8.30am to 12.30pm)
  Working Location - Penjuru rd (moving to Senoko in 2025)
  transport pickup at Yishun, Sembawang and Marsiling

Jobscopes:

• Order processing
  -to do GR (Goods Receipt) and GI (Goods Issue) in SAP and WMS
• Liaising and co-ordinating with customer
• Performing daily/monthly/quarterly cycle count
• Require to go warehouse for picking, packing & labeling goods
• Any other ad-hoc duties

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Job Description

- Point of contact for users across the BANKS for data issue escalations. The EDM team ensures that data hosted in data warehouse is of good quality and conforms to data standards such as completeness, accuracy and consistency, to support regulatory and management reports. The team also promotes data automation and makes use of data to help develop initiatives to improve productivity.

- Data discovery through provision data requests to respective Data Playpen for business units across the Group. - The objective advocates self-service data exploration and analysis within and among Business/Support Units. - Data definition and specification documents are available to provide navigational guidance and support for data provision purposes.

Your main responsibilities include:
- Gathering and documenting business requirements & functional specifications on data related initiatives.
- Perform data profiling and gap analysis, source to target mappings, data issue capturing, resolution and escalation.
- Provide end-to-end project delivery support, including workshop planning, conducting of workshop walkthrough, user acceptance testing ,defect support, continuous validation and assisting with rollout activities.
- Able to perform complex SQL scripting to meet user’s requests.
- Foster strong working & collaborative relationships with the business & technology stakeholders.

Requirements
- Minimum Bachelor Degree or equivalent professional qualifications in Computer Science with at least 2 years of working experience in banking industry, preferably with business / functional knowledge;
- Experience in gathering and documentation of business requirements;
- Knowledge in Data Warehousing, BI tools, Big Data platforms and experienced in the use of analytical /query tools.

- Must be able to query and understand database solutions.
- Experience in developing and documenting data-driven solutions – including capturing architectures, metadata systems, data dictionaries, databases and applications.
- Good team player who possesses drive and initiative;
- Excellent written / oral communication skills to effectively interact with different stakeholders and external vendors, able to work independently under pressure.

WhatsApp: +65 90820021 (Kyler)

Email: [email protected]

• Working Days: Mon Fri 830am to 530pm
• Location: Ang Mo Kio
• Salary: $1,800

Job Responsibilities:

• Perform data entry tasks with accuracy and efficiency.
• Assist in issuing invoices and managing related documentation.
• Support day-to-day office operations, ensuring smooth and efficient workflows.
• Handle additional administrative duties as assigned.

Job Requirements

• Proficiency in Microsoft Office

The Supreme HR Advisory Pte. Ltd | 14C7279

Gan Kai Le | R23112683

• Well Established Company
• Basic $2500 - $3000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: West
• Working days: Monday to Friday
• Working hours: 8am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• Assisting with, filing, data entry, and recording and maintaining accurate and complete records
• Preparing invoices, and other documents
• Working with bookkeeping software, online spreadsheets, and databases
• Processing transactions, issuing payments, and updating ledgers
• Data entry
• Any other ad hoc duties as assigned

Job Requirements:

• Possess minimum Nitec and/or Diploma in Accounting or equivalent
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Position : Admin Assistant [Data Entry/Inventory] - Sin Ming Lane
• Location : Sin Ming Lane (Bishan)
• Working hours : Monday to Friday/ 8:30am to 5:30pm
• Salary (commensurate with experience) : Up to $2800 + Performance bonus + 10 Days Annual Leave
• Duration : Permanent
• Industry : Manufacturing

Main Responsibilities:

• Prepare invoices / Receive Orders / Organise Documents / Filing
• Stock / inventory check, maintain updated data records, print reports
• Attending to calls
• Provide general administrative and clerical support and handle administrative requests from the management.

Requirements:

• NO EXPERIENCE REQUIRED/ FULL TRAINING PROVIDED
• Familiar with MS Office (MS Excel and MS Words etc)
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: [email protected] for more information.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

Diana Okta Tio

Deputy Consulting Director (APAC)

Reg no.: R2094678

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

• Position : Admin Assistant [Simple Duties/Data Entry/Inventory] - Sin Ming Lane
• Location : Sin Ming Lane (Bishan)
• Working hours : Monday to Friday/ 8:30am to 5:30pm
• Salary (commensurate with experience) : Up to $2800 + Performance bonus + 10 Days Annual Leave
• Duration : Permanent
• Industry : Manufacturing

Main Responsibilities:

• Prepare invoices / Receive Orders / Organise Documents / Filing
• Stock / inventory check, maintain updated data records, print reports
• Attending to calls
• Provide general administrative and clerical support and handle administrative requests from the management.

Requirements:

• NO EXPERIENCE REQUIRED/ FULL TRAINING PROVIDED
• Familiar with MS Office (MS Excel and MS Words etc)
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: [email protected] for more information.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

Diana Okta Tio

Deputy Consulting Director (APAC)

Reg no.: R2094678

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

We are looking for a Positive & Proactive Data Entry Assistant who thrives in a fast paced startup environment.

Job Responsibilities:

• Extract ships' movement updates from emails and enter data into operations system
• Check accuracy of vendors' SOA against system's record
• Assist to generate monthly disbursement summary report from system
• Assist to prepare report and invoice to send to customers

Job Requirements:

• Minimum 1-year relevant working experience, including in admin, data entry roles
• Able to work 2 hours any time on Saturdays and Sundays
• Training provided. Can transit to work remotely after becoming proficient
• Proactive Fast learner with a tremendously positive attitude
• Dedicated, detail-oriented and efficient
• Adaptable and Able to work with minimal supervision
• Patient listener with excellent communication skills
• A flair in using new software will be added advantage

Key Benefits:

1. Located across from one-north MRT Station.

2. Health benefits includes medical, hospitalization and surgery insurance.

3. You take part in our vision in helping shipping companies to adapt to change.

We regret that only shortlisted candidates will be notified.

We are looking for a strong data scientist / engineer to join our team for an ongoing project we have. You will be responsible for :

• Testing and deployment of codes/jobs in Production
• Automating the jobs deployed.
• Work with team to create project documentations such as Operation Manual, Training Manuals, and others in preparation for System Commissioning.
• knowledge and hands on experience of AWS GCC native services such as AWS Glue, AWS Step Function, AWS Sagemaker, etc. on GCC or commercial Cloud.
• Python and pyspark experience is a must

• Well Established Company
• Basic $2500 - $3000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: West
• Working days: Monday to Friday
• Working hours: 8am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• Assisting with, filing, data entry, and recording and maintaining accurate and complete records
• Preparing invoices, and other documents
• Working with bookkeeping software, online spreadsheets, and databases
• Processing transactions, issuing payments, and updating ledgers
• Data entry
• Any other ad hoc duties as assigned

Job Requirements:

• Possess minimum Nitec and/or Diploma in Accounting or equivalent
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

Overall Role Purpose:

• Working within the Group Data Science, you will leverage huge volumes of Structured and Unstructured data to solve real business problems across the OCBC Group.
• You will work closely with business to understand their problem statements and transform them into ML and AI challenges when needed.
• You will work on a variety of problem from traditional AI and Machine learning to Generative AI problem when needed.

Responsibilities:

• Work with business leaders across OCBC Group to identify opportunities for leveraging big data and Data Science to drive value for our customers and business.
• Develop and maintain machine learning/deep learning models to achieve the desire business outcomes – such as State of the Art Reinforcement learning system or RAG.
• Develop and maintain models in production. Set up controls and monitoring for the models.
• Use MLOps processes and tools to monitor and refine Production model performance and accuracy.

Specific Knowledge:

• 2 years+ of experience manipulating data sets and building statistical models, ideally with a Master’s or PhD in Statistics, Mathematics, Computer Science or other quantitative field.
• Strong programming experience, with solid understanding of software engineering design patterns and best practices.
• Experience with big data technologies such as Hadoop, Trino, and Spark.
• Some experience in the use of CI/CD and DevOps tools such as Jira, Jenkins, GIT/Bitbucket.
• You have a passion for AI and ML, and you want to learn more everyday

Communication & Soft Skills:

• Ability to execute in a fast-paced environment.
• Creativity to see possibilities within the data & translate into compelling stories, decisions, and actions for non-technical business users.
• Strong communication skills and drive to deliver business benefits in the real-world.
• Genuine drive to learn and master new technologies and techniques.

Responsibilities include, but not limited to:

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Identify meaningful insights from large data and metadata sources.
• Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.

Minimum Qualifications:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing.
• Experience in statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
• Exposure to the semiconductor industry is a plus but not a requirement.
• Strong verbal and written communication skills.

Minimum Experience & Skills:

• Ability to extract data from different databases via SQL and other query languages and apply data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Experience with or desire to learn:Machine learning and other advanced analytical methods.
  Fluency in Python and/or R.
  pySpark and/or SparkR and/or SparklyR.
  Hadoop (Hive, Spark, HBase).
  Teradata and/or other SQL databases.
  TensorFlow, and/or other statistical software including scripting capability for automating analyses.
  SSIS, ETL.
  JavaScript, AngularJS 2.0, Tableau.
  
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus.
• Experience working with Manufacturing Execution Systems (MES) is a plus.
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are a plus, but this is not a research position.

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

Working Day: Mon - Fri 8am - 5pm, Sat 8am - 12pm

Salary: $2000 – $2500

Location: Changi

Responsibilities:

• Invoice issuance & verification
• Data Entry
• Calculate & record payments
• Updating accounting records
• General admin duties as assigned

Requirement:

• Min 1 year relevant experience

Low Jia Yi R22104302

The Supreme HR Advisory Pte Ltd 14C7279

Low Jia Yi R22104302

The Supreme HR Advisory Pte Ltd 14C7279

This Data Analyst role is critical for establishing robust data processes, maintaining data integrity, and supporting the company’s efforts toward leveraging high-quality data for decision-making and AI transformation. Key responsibilities include:

1. Creating Data Processes: Develop procedures for data entry, database integration, and sharing to standardize processes, prevent data duplication or corruption, and ensure long-term data preservation.
2. Protecting Data: Maintain data integrity by identifying and removing duplicates and imperfections, ensuring efficient database functionality. Assess data security risks and monitor usage to prevent breaches.
3. Managing Data Lineage: Track data origins and uses to facilitate issue resolution, ensuring accurate and reliable data.
4. Maintaining Data Quality: Use customer feedback to develop systems for high-quality data, providing actionable insights for better decision-making. Regularly report metrics, track issues, and make recommendations to management.

Key Responsibilities:

• Master Data Management:
  Oversee global master data lifecycle processes, including creation, validation, and deactivation for ERP and CRM systems.
  Develop and enforce data governance policies and procedures.
  Ensure data quality and integrity across systems.
• Process Improvement:
  Suggest or support process improvements and best practices in data management.
  Conduct regular data audits and quality assessments.
• Training and Support:
  Provide training and support to staff on data management practices.
  Resolve data-related issues and discrepancies within systems.
• Documentation:
  Maintain documentation for data management processes and policies.
  Translate business requirements into data modeling solutions and infrastructure.
• Data Operations:
  Responsible for data migration and standardization across the organization.
• Data Visualization and Reporting:
  Develop and maintain data visualizations and reports to support decision-making.
  Collaborate with stakeholders to define reporting needs and ensure alignment with business objectives.
  Utilize tools like Power BI to create dashboards and deliver insights in an accessible format.

Minimum Qualifications

• Education:
  Bachelor’s degree in Information Technology, Business Administration, or a related field.
• Experience:
  3-5 years of experience in master data management or a similar role.
  Proficiency in Microsoft SQL Server with advanced SQL query skills.
  Strong understanding of data architecture and governance principles.
• Skills:
  Proficiency in data management tools (e.g., MSSQL Server Management Studio, Power BI, Excel).
  Strong analytical and problem-solving abilities.
  Excellent communication and interpersonal skills.
  Attention to detail and a commitment to data accuracy.

Preferred Qualifications:

• Experience using RapidStart tools and Configuration Packages for Dynamics Navision and/or Business Central.

Our Client:

• Engineering 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

Responsibilites

• Design, develop, and maintain robust data pipelines and architectures.
  Collaborate with cross-functional teams to integrate data from various sources.
• Implement and manage CI/CD processes to ensure smooth deployments.
• Optimize Snowflake database performance and ensure efficient data storage.
• Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
• Write and maintain detailed technical documentation for data processes and architecture.
• Monitor and troubleshoot data pipelines to ensure data integrity and quality.
• Stay current with industry trends and best practices in data engineering and integration.

Requirement

• Expertise in Snowflake database development.
• Proficient in Azure Data Factory and the MS Fabric stack.
• Experience with Continuous Integration / Continuous Deployment (CI/CD).
• Strong background in advanced data integration and engineering.
  Proven ability to write clear and comprehensive technical documentation.
• Experience with multiple cloud platforms, specifically Azure and AWS.
  Strong problem-solving skills and attention to detail.
• Excellent collaboration and communication skills.
  

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
• Minimum 5 years of experience in a similar role.