Total 3,992 data entry clerk job vacancies in Information Technology category in Singapore

Job Summary:

This dynamic role requires an individual with strong technical expertise, business analysis skills, and leadership potential. The selected candidate will bridge the gap between user needs, developers and technical solutions, manage a range of IT functions including devices, accounts, servers and helpdesk, to ensure efficient IT operations. He/she shall assist in the planning, procuring and managing the ICT, PA and AV solutions that support school operations, administration, data management and protection. He/she shall organise and conduct relevant staff training for the implementation of the IT systems and utilization of the ICT tools in the school. One needs to be proactive, adaptable, and innovative with a passion for supporting IT in the Special Education sector

Duties and Responsibilities:

• Co-ordinate and support the use of ICT in daily teaching and learning and school programmes as tasked by school management and HOD (IT).
• Manage and advise the staff on matters pertaining to the school integrated data system, including liaising with the vendor to troubleshoot and provide solutions to issues raised.
• Responsible for insuring the day-to-day operation, reliability, and integrity of the network infrastructure, including installation, maintenance, and management of all data network equipment.
• Provision of users’ access through Active Directory (AD), de-provision and maintenance of users’ accounts.
• Administer and support Microsoft Office365, and the associated emails accounts and mailboxes.
• Manage the school’s ICT resources (including PCs, notebooks, ipads, SMARTBoards, printers, PA & AV equipment, charging carts) including performing tech refresh, maintenance, condemnation, upgrading and inventory check.
• Ensure that all school policies, guidelines and standards are adhered to (including documentation, safety checks, etc).
• Proactively scan the market for technology trends and new tools that support special education school operations & administration and introduce innovative ICT projects for school’s consideration with reference to its ICT needs.
• Plan and purchase ICT equipment and resources in support of school daily operations and administration.
• Organise and conduct staff briefings and training for the smooth implementation of all ICT-based operational & administrative systems.
• Provide PA/AV support for all school events and undertake other ICT or operational tasks as assigned.

Job Requirements:

• A Diploma in IT, Computer Science, Engineering or related qualification
• Minimum 3 years of relevant working experience of ICT support
• Any professional certifications (administration/support) from Microsoft 365, Apple or equivalent will be a plus
• Understanding of networking protocols and security technologies

Key Responsibilities:

• Execute Mock Conversion 4 (MC4) for Site to be deployed. This includes loading into Staging Table, Pre-Target table, Post Target table (S4), User verification report generation, User verification session execution and fixes post verification
• Execute Actual Data Conversion activities during pre-cutover, cutover window and post cutover.
• Responsible to plan, analyse, build and execute end to end Data Migration activities
• Responsible to manage Mock Run and Full-Dress Rehearsal activities
• Ability to work across multiple functional projects to understand data usage and implications for data migration and test points.
• Perform source system data analysis to manage source to target data mapping.

Job requirement

• Bachelor’s degree in Computer Science or any equivalent
• With 3+ years’ experience in Data Migration
• Hands-on experience in Data Migration planning and SAP Implementation experience
• Experience in Oracle Database 2, PL/SQL scripting, Java scripting
• Experience in Healthcare industry

Thank you for your interest!

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultant at [email protected]

Cristina Malabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by ManpowerGroup Singapore for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup's Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

The DataAILab team is building up core ByteDance products to ensure ByteDance continues a healthy growth, deliver the best product experience to all of our users, build the most attractive features to earn trust in privacy protection, and more.

Responsibilities

1. Consult with business leaders to translate business strategies and objectives into an HR roadmap; garner support and identity ownership for that roadmap; establish regular meeting cadence to advise/inform leaders of progress and further transparency throughout the organization;

2. Coach leaders on people-related matters including talent assessment, development, and succession; organization effectiveness, and high-performing team dynamics;

3. Proactively manages and resolves complex employee relations issues and legal risk; ensure manager and employee compliance with company policies and procedures, and governmental regulations, partner with the legal department to support investigations as needed;

4. Provide guidance and assist in the implementation of business restructures, workforce planning, and headcount modeling;

5. Enhance employee development & management throughout the year by providing coaching, mentoring, and timely feedback; execute a goal-setting agenda with 360 performance evaluations and oversee the formal performance review and calibrations process;

6. Measure and monitor trends and the impact of key HR metrics and dashboards to drive HR needs planning;

7. Leverage the COEs (HR Centers of Excellence) to develop and implement programs that foster employee engagement, D&I, and org development.

Qualifications:

1. Undergraduate degree in Human Resources Management, I/O Psychology, Industrial Labor Relations, Business Management, or a related field;

2. 5 + years as a Human Resources Business Partner and at least 8+ years of experience in Human Resources as a generalist, business partner, or human capital consultant;

3. Strong relationship-building skills with the ability to influence and communicate effectively across all levels of an organization;

4. Solid business acumen and the executional know-how of building and growing businesses through the ongoing development and support of its people;

5. Successful track record of leading strategic people programs to support business growth;

6. Comfort with ambiguity; strong judgment and ability to make thoughtful decisions leveraging data and insights;

7. Experience managing others is preferred, but not required.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

• International brand with strong presence globally
• Newly established APAC data protection position

About Our Client

Our client is a renowned international brand that specialises in beauty and skincare products. It is recognised for its commitment to using natural ingredients and traditional methods in crafting its products. With a focus on quality and authenticity, the brand has gained a global presence and is associated with a luxurious and environmentally conscious image.

The organisation is attentive to current Data Protection and regulatory trends and updates. Professionals are sought to manage and assess existing risks, strategize, and define actions, processes, and frameworks at the company level on a daily operational basis.

Job Description

• Assessing, managing and monitoring compliance of regional activities to applicable data protection and privacy laws
• Lead to update/localise existing group Data Protection policies, standards and procedures to conform to internal best practice and local Data Privacy laws / regulations. Develop missing ones
• Monitoring compliance with the Global Privacy Program across APAC regions including ensuring adherence to data protection-related policies
• Making filings with, responding to, and act as the contact point for the supervisory authority and maintaining relationships with, data protection regulators across APAC
• Acting as a point of contact for data subjects with regards to their requests
• Generating and regularly update Compliance Management KPIs

The Successful Applicant

• Bachelor's degree or higher in Business Law, Information Technology Law, or an equivalent field
• Minimum of 5 years of experience with substantial knowledge and expertise in Data Protection/Privacy, with a specific emphasis on the APAC region
• Extensive experience in the realm of data privacy law and compliance, preferably within a multinational organisation
• Solid understanding of Personal Data Protection and Privacy Laws, particularly the GDPR, PDPA, PIPA, APP, APPI, and familiarity with other significant privacy frameworks and legislations in the region
• Qualification on Data Privacy such as IAPP Information Privacy Professional/Asia (CIPP/A) and Europe (CIPP/E), IAPP Certified Information Privacy Manager (CIPM) or Certified Information Privacy Technologist (CIPP/IT), Fellow of Information Privacy (FIP) or equivalent data privacy qualification

What's on Offer

The job offer includes a comprehensive benefits package designed to support employees' well-being and work-life balance. From competitive health insurance plans to opportunities for professional development and growth, it aims to enhance the overall experience and satisfaction of our team members.

About the Client

Leading Luxury Company

Responsibilities

• Work on the entire data production by implementing data ingestion pipelines (from multiple sources and in different formats), storage, transformation, then their provision: datamarts, cube, reports, datasets to feed models scoring (data science), API, mainly using Dataiku and Google BigQuery
• Ensure that the integration pipelines are designed in a manner consistent with the overall data framework in collaboration with the HQ’s data tech lead and according to best practices/ define framework.
• Be part of a continuous improvement approach by optimizing and reusing existing assets for streamline.
• Take part in data integration processing aspects of data quality controls, monitoring, alerting and technical documentation, as well as data management (data models and mapping, data documentation, repositories, description of the transformations applied, etc.)

Skills/Requirement

• Minimum of 3 years’ experience in IT development roles such as data integration on Google Cloud & Dataiku or similar cloud services
• Mastery of the data stack components in Google Cloud Platform (certifications appreciated) including but not limited to: Google Big Query (nested fields, partitioning, merge SQL, authorized views, RLS), Cloud storage, Cloud functions, Cloud composer, Google Firestore, Google data catalog or similar services of other cloud services.
• Proficiency of Dataiku (on Google big query): development of dataiku flows, implementation of scenarios, scheduling, management of versioning, releases into production, administration etc.
• Mastery of complex SQL queries
• Good knowledge of Python is a plus
• Development practices with data exchange architectures: webservice, API, streaming.
• Development in an agile team and the tools used in CI / CD (Git, Bash, CLI, Azure devops, Jira, Confluence)
• Knowledge of Microsoft Power BI, data catalog tool, data quality, data management

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret to inform that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

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The information contained in this e-mail and any accompanying documents may contain information that is confidential or otherwise protected from disclosure. If you are not the intended recipient of this message, or if this message has been addressed to you in error, please immediately alert the sender by reply e-mail and then delete this message, including any attachments. Any dissemination, distribution or other use of the contents of this message by anyone other than the intended recipient is strictly prohibited.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries.

All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.

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Job Title: Data Engineer (Spark Scala DevOps)

Job Objectives

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices.

As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets.

Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Key Responsibilities

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives.

• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions.

• Ensure data quality and integrity throughout the data processing lifecycle.

• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.

• Optimize data engineering workflows for containerized deployment and efficient resource utilization

• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

Key Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field

• Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

• Experience with Graphana, Prometheus, Splunk will be an added benefit

• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

• Excellent collaboration and communication skills to work effectively with cross-functional teams

• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Key Responsibilities

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch.
• Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards.
• Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration.
• Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components.
• Stay updated with emerging trends and advancements in the big data technologies space to ensure continuous improvement and innovation.

Key Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Strong experience in developing Spark applications. Experience with Spark Streaming is a plus.
• Proficiency in Scala programming language and familiarity with functional programming concepts.
• In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL.
• Experience integrating and working with Elasticsearch for data indexing and search applications.
• Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization.
• Experience with distributed computing, parallel processing, and working with large datasets.
• Familiarity with big data technologies such as Hadoop, Hive, and HDFS.
• Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries.
• Strong problem-solving and analytical skills with the ability to debug and resolve complex issues.
• Familiarity with version control systems (e.g., Git) and collaborative development workflows.
• Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams.

Data & Marketing Executive | PBI / Power Automate | Bendemeer

Location: Aperia Tower

Working Day: 5 Days (Mon - Fri) Overtime is required.

Working Hour: 8.15am - 5.30pm

Salary : $3000 - $3500

Requirement

• Proficiency in Excel. Knowledge of Modern Excel, PBI, Power Automate is a plus.
• Minimum Bachelor's Degree in any field

Job Scope

Job Summary

• Opportunity: A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance
• Role: Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Company’s own software
• Objective: Not just updating existing data, but using it to guide sales direction and actions
• Additional Responsibilities: In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all BtoB marketing initiatives

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

We are looking for a high-calibre data experts to be a part of a fast-growing tech organization, working within a team that provides world-class and innovative solutions to support the ever-growing demands in the industry.

What’s in it for you:

Exposure to understanding and dealing with the analytics requirements from various business units, hands-on analysis of the various data systems, and an opportunity to work on large datasets in order to uncover valuable business insights.

You Should Have the Following Qualifications or Traits:

• 5+ years in data analysis & data management
• Expert proficiency in any of the visualization tools (Tableau preferred)
• Strong SQL Query writing skills and knowledge of database concepts
• Good understanding of end-to-end business intelligence solutions
• Exposure / Knowledge on Big Data Environment (Hadoop etc) is a plus
• Exposure / Knowledge on Cloud technologies is a plus
• Python programming exposure, or any programing exposure is a plus
• Excellent communication & problem-solving skills
• Ability to adapt to a dynamic, value driven, and self-motivated team culture

We regret to inform that only shortlisted candidates will be notified / contacted.

Job Reference: Shawn540719

EA Registration No: R23117230, Shawn Wee Wern Joon

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

The Data Lead serves as the primary authority, both in business and technical aspects, responsible for overseeing the comprehensive handling and utilization of data. This encompasses managing the architecture, governance, collection, analysis, and strategic leveraging of data to enhance business value.

Responsibilities

• Assume leadership of the data teams by uniting the data engineering, audience, and data governance teams.
• Advance our data strategy and advocate for the application of data in decision-making to achieve crucial business outcomes.
• Contribute to the formulation and enforcement of guidelines governing the collection, storage, management, documentation, quality, and protection of data.
• Supervise the development and upkeep of the company's data lake, utilizing existing data assets to generate business insights, visualize information, and address challenges.
• Recognize opportunities to enhance data through supplementation or fusion with data from partnerships or other external sources.
• Take a proactive stance in assisting business heads in identifying new revenue opportunities through more effective and creative use of data.
• Propel experimental data modeling designs within the business and conduct A/B tests to assess changes in the business's products and services.
• Monitor business performance against data analysis models, tracking trends in key business Key Performance Indicators (KPIs), and providing valuable insights to relevant departments for overall business performance improvement.

Skills and Qualifications

• Over a decade of professional experience with a minimum of 5 years in a senior management position.
• Demonstrated success in managing data and big data, providing leadership, and overseeing data teams and projects. Additional experience in constructing data lakes and implementing end-to-end data science models is a desirable asset.
• Solid foundation in business, mathematics, or data science and analytics is essential.
• Proficiency in BI best practices and methodologies, encompassing expertise in reporting tools, querying tools, data analytics methodologies, and data visualization.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

We are seeking a skilled SAP MM Consultant to join our team for a specific project focused on data migration plans. The individual will collaborate closely with business teams and digital teams to support all migration activities, ensuring the smooth transition of MM/PM related master and transactional data from SAP ECC to S/4HANA.

Role and Responsibilities:

• Identify and extract MM/PM related master/transactional data from SAP ECC.
• Perform technical reconciliation of extracted data.
• Indicate and exclude master data from S/4HANA migration.
• Identify ECC reports for extracting transaction and open item data.
• Provide additional mapping values for new master data (delta).
• Update mapping table in automated mapping solution.
• Cross-check and identify master data for preservation.
• Remove remaining master data marked for exclusion.
• Map values to S/4HANA format during transformation.
• Populate and format data into S/4HANA upload template.
• Perform technical data comparison between pre & post-loaded data.
• Monitor, measure, control, and report on data migration progress.
• Participate in daily stand-up meetings within the digital team.
• Collaborate with stakeholders to align data migration with project goals.
• Report into the Program for the delivery of agreed data-related activities.

Preferred Skills:

• Experience in MM/PM data migration with knowledge of functional and non-functional migration methodologies.
• Knowledgeable in Procurement, Inventory Management, and Plant Maintenance Order processes with integration expertise in FICO and PM/MM.
• Hands-on experience with SAP S/4HANA MM/PM preferred.

This role requires a candidate with strong analytical skills, attention to detail, and effective communication abilities. The successful candidate should have a deep understanding of SAP MM/PM processes and methodologies, ensuring the successful execution of data migration plans.

Zuhlke is at an incredible time of growth. Having seen over 50 years of success in Europe, Zuhlke has brought its top-of-the-line offerings across continents to its Singapore, Hong Kong, and Vietnam offices. Taking the next step in its expansion, the Zuhlke Group announced the opening of a new site in Edinburgh, bringing its network up to 17 offices across 10 countries.

As a Data Consultant in Zuhlke Data & AI Practice in Asia, you will bridge the gap between business and technology, grounded in reality. Ultimately, you play a large part in the success of our Asia office. Your job is to help guide customers often disconnected streams of thought into a cohesive understanding of what their most important goals are, how data and AI can help them achieve this and map it onto a technology stack to support data driven decision making. You will be a trusted advisor for business decision makers embarking on their data journey.

This is a multi-faceted, exciting role where you’ll have a very real impact in establishing our Asia team as a big success story within the Zuhlke Group. This is a fantastic opportunity to accelerate your career with the large amount of responsibility and personal development we will provide.

This is a Singapore-based role and occasional travel may be required.

Your job.

• Working in a consulting capacity, you will develop new business models and processes for and together with customers to pave the way for data-driven developments. You accompany them from the idea to the customised tailored solution through to operation/further development.
• You view AI technologies as tools to enable fact-based decisions, optimize processes or develop new products and services. With this mindset, you recognize the potential of our customers businesses to generate real value with these tools
• In AI projects and programmes, you implement Zuhlke's holistic approach by considering all relevant levels and disciplines such as data platforms, data governance, algorithms and use cases and by moderating the collaboration of relevant experts. This ensures the success of the project and the generation of business value
• You enjoy communicating with decision-makers at our customers - and you like positioning our AI offering and thus actively developing our AI business
• You are active both internally and externally as an ambassador for our discipline AI and further develop our offerings and our expertise. You will position yourself as a thought leader for your special field in AI and help to develop young talent.

Your talent.

• You have at least 10 years of experience and at least 5 years working in IT Services/Consulting.
• You possess the relevant consulting background and are familiar with workshop facilitation, innovation methods and the basics of business models.
• You bring experience across various projects in the areas of Data, Machine Learning and/or Artificial Intelligence.
• You have strong experience in being client-facing. Your experience also demonstrates a track record for strong sales and pre-sales experience as well as overseeing client engagements/projects
• You have significant experience influencing C-Suite decision makers
• You have a strong understanding of the local market and landscape and are great at balancing professionalism with warmth and genuineness
• You enjoy keeping up with the latest technology trends .
• Excellent command of English is a must.

And Zuhlke.

At Zuhlke Asia you get the best of both worlds. You can leverage on the benefits of working in a stable, large, highly reputable company with a long history of success while enjoying the freedom and autonomy of working in a fast-growing start-up environment. Zuhlke offers you networked innovation power and the security of a long-running, international success story. We support your personal development with specialised workshops and active knowledge sharing among experts.

About the Client

Our client is one of the reputed MNC firms in Singapore

Responsibilities

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

• Ensure data quality and integrity throughout the data processing lifecycle

• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

• Optimize data engineering workflows for containerized deployment and efficient resource utilization

• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

•

Skills/Requirement

Must have Skills:

• Must have Skills:

• • Bachelor's degree in Computer Science, Information Technology, or a related field

• • Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

• Experience with Graphana, Prometheus, Splunk will be an added benefit

• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

• Excellent collaboration and communication skills to work effectively with cross-functional teams

• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret to inform that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Registration No. R1547247 (Jyothi Chandrakanth Kamath)

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The information contained in this e-mail and any accompanying documents may contain information that is confidential or otherwise protected from disclosure. If you are not the intended recipient of this message, or if this message has been addressed to you in error, please immediately alert the sender by reply e-mail and then delete this message, including any attachments. Any dissemination, distribution or other use of the contents of this message by anyone other than the intended recipient is strictly prohibited.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries.

All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.

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In this capacity, you will assume responsibility for implementing the Data Governance Framework across all business sectors. Reporting to the Head of Data Governance and collaborate closely with senior executives in the organization to fulfill requirements outlined in the Enterprise Data Governance program. The goal is to institutionalize the target operating model for data quality management within the business.

Key Responsibilities:

• Execute the data quality target operating model, including the deployment of the data quality technology solution.
• Formulate and uphold data quality rules, complete with thresholds, to align with the demands of business processes relying on core data.
• Institute and oversee data quality metrics, demonstrating advancements in the quality of core data assets over time.
• Establish a systematic approach to managing data quality issues, overseeing and tracking these issues through their lifecycle, including root cause analysis, solution design, and remediation, with a focus on addressing issues at their source.
• Review incidents related to data to ensure alignment with data quality rules.
• Guarantee adherence to data principles in any data-related project and collaborate with project teams.
• Conduct training sessions on data quality management, educating and fostering awareness of data quality principles and processes.

Requirements:

• Proficient in SQL and reporting techniques, with expertise in data analytics tools, including R and/or Python.
• Possess hands-on experience with BigData technologies such as Spark, ProtoBuf, and DBT.
• Familiarity with AWS and proficiency in tools like AirFlow, Kafka, Docker, and Kubernetes.
• Strong communication skills, coupled with a track record of being a team-builder, results-oriented, proactive, and self-driven.
• Demonstrates creative and strategic thinking, innovative problem-solving skills, and exceptional organizational abilities.
• Capable of managing multiple tasks concurrently, prioritizing effectively, meeting tight deadlines, and maintaining composure in times of uncertainty and stress.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

As the consumers' needs for local services increase, the local services business at TikTok is expanding quickly to address the opportunity and challenge.The Data Science team of TikTok-Data-Data Science-Local Services team plays a key role in business growth with our professional techniques, valuable insights, and problem solving skills. We are looking for talents who are passionate about Local Services to join us to make something new.

About the Role

The primary role of a Data Scientist for our Data team is to conduct deep analysis of user/merchant behavior, product features ,content ecosystem and platform strategies to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross-function teams, such as PM/Ops/RD/MLE to identify key issues of user experience and business performance.

Responsibilities

1. Lead and execute the TikTok Local Services Data Analysis project, providing insights to support business decisions;

2. Based on an in-depth understanding of user traffic, merchants, creators, platforms, and ecosystems, define scientific metrics to accurately reflect the business situation, and through exploratory data analysis to quickly discover potential improvement opportunities in different business and technical directions.

3. Work closely with cross-functional teams to design and implement scientifically reasonable A/B experiments or observational studies, provide suggestions for scientific decision-making and closed-loop iteration, and drive the landing and continuous optimization of data analysis conclusions.

4. Actively think about the business, proactively discover the pain points of the business, find opportunities for improvement of operational efficiency, provide specific and actionable optimization suggestions, and drive the actual improvement of the business.

Qualifications

1. Bachelor's degree or above, with a background in local services, e-commerce, short videos, etc. preferred. Background in statistics, computer science, economics, data science, quantitative analysis, etc. preferred.

2. Proficient in SQL, with practical experience in using R, Python, or other programming languages.

3. Sensitive to data, able to quickly find the relationship between data and business, and use data for business modelling and quantitative reasoning.

4. Excellent communication skills and cross-functional team collaboration ability;

5. Due to the early stage of business, you will grow with the business together and get a sense of achievement.

Preferred Qualification:

Minimum 3 years relevant work experience from a large-scale internet business.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organizations transform data into value and business impact.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.

We have 1000+ employees across 18 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Responsibilities

With the support of a Junior Data Consultant, you will have the opportunity to carry out various projects independently and in collaboration with Artefact’s teams of experts: Strategy, Activation, Analytics, Data, Creation.

At the agency or at the client’s premises, the consultant is a true project manager. The diversity of your missions will allow you to be as close as possible to customer issues, to acquire a real knowledge of data and to quickly develop your skills.

Your missions will include:

• define the needs of its customers by conducting interviews with customer teams and multiple technology partners,
• to help build, formulate and present strategic data recommendations for the client,
• to organize and conduct workshops and training to ensure the success of its projects,
• to develop and present data recommendations to clients,
• to imagine and present new support proposals to convince our future customers,
• to participate in training courses to acquire the technical knowledge necessary for its mission as an advisor and to keep abreast of the latest technological innovations on the market,
• and finally to participate in the writing of content on transversal subjects (e.g. publication of research works, writing articles or business cases).

Requirements

• Graduated from a business school (desired), the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.
• A first knowledge of digital marketing (within a start-up, agency, etc.) or consulting (Strategy, Management, IS), will obviously be valued.

About the Client

Our client is one of the reputed MNC firms in Singapore

Responsibilities

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

• Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

• Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

• Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

• Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

• Stay updated with emerging trends and advancements in the big data technologies space to ensure continuous improvement and innovation

Skills/Requirement

Must have Skills:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

• Strong experience in developing Spark applications. Experience with Spark Streaming is a plus

• Proficiency in Scala programming language and familiarity with functional programming concepts

• In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL

• Experience integrating and working with Elasticsearch for data indexing and search applications

• Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization

• Experience with distributed computing, parallel processing, and working with large datasets

• Familiarity with big data technologies such as Hadoop, Hive, and HDFS

• Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries

• Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

• Familiarity with version control systems (e.g., Git) and collaborative development workflows

• Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret to inform that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Registration No. R1547247 (Jyothi Chandrakanth Kamath)

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The information contained in this e-mail and any accompanying documents may contain information that is confidential or otherwise protected from disclosure. If you are not the intended recipient of this message, or if this message has been addressed to you in error, please immediately alert the sender by reply e-mail and then delete this message, including any attachments. Any dissemination, distribution or other use of the contents of this message by anyone other than the intended recipient is strictly prohibited.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries.

All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.

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We are looking for a high-calibre data experts to be a part of a fast-growing tech organization, working within a team that provides world-class and innovative solutions to support the ever-growing demands in the industry.

We have multiple vacancies open.

The Position:

• Experience in designing and building robust and highly scalable data pipelines
• Strong programming proficiency using Python
• Clear understanding of distributed computing, especially in databases
• Hands-on in SQL with a deep understanding of query optimization
• Expertise in Informatica Data Management cloud - Data Integration and Data governance.
• Exposure to Machine Learning / Artificial intelligence is a plus
• Good to have: Experience working on any of the Cloud platforms (GCP, AWS, Azure)
• Strong communications skills

What’s in it for you?

• Exposure to the latest cutting-edge technologies
• Rewarding work: Opportunity to make real and immediate impact on the business and the industry
• You'll work with a great team. They're exceptional at their jobs, and winning market share from their competitors every day.
• Fun, friendly, open, start-up company culture

We regret to inform that only shortlisted candidates will be notified / contacted.

Job Reference: Shawn540718

EA Registration No: R23117230, Shawn Wee Wern Joon

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Position Summary

This position is responsible for guiding a team of logistic coordinators associates in the provision of logistics operational functions such as customer service, trucking coordination and the generation and maintenance of operations documents, reports, correspondence and expenses. Assist the Supervisor operations in the daily office activities and communications to customers.

Responsibilities

Primary Responsibilities

• Responsible for the coordination and preparation of all necessary documentation for the movement of warehouse cargo.

• Liaison with trucking contractors for local deliveries.

• Create and maintain reports and files for all operations records, correspondence, plans and expenses.

• Coordinate with operations personnel to ensure readiness of cargo for deliveries.

• Update WMS, TMS on Cargo Status.

• Liaise with customers for all matters pertaining to shipments and deliveries.

• Handle any other ad-hoc / administrative duties.

Qualification Summary

Experience:

This position requires minimum 1 years of relevant experience in Logistics industry.

Education:

Minimum 'O' levels or Diploma in Logistics or Business Administration.

Skills:

• Good working knowledge of the following logistics operations areas – distribution, manufacturing, inventory planning, materials management.

• Good Interpersonal skills

• Good Communication skills

• Good Knowledge in Warehouse Management System (WMS)

• Good customer relationship management skills

• Proficient in MS Word, Excel, Outlook etc

PRODUCT AREA

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

JOB DESCRIPTION

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

ADDITIONAL JOB DESCRIPTION

In this role, you will exercise domain expertise and drive engagements with both internal and external audiences. You will stay up-to-date on technology in analytics space, and make things happen through influence, passion and willingness to harness customer business opportunities, and deliver complex data analytics solutions.

Qualifications

JOB RESPONSIBILITIES

• Partner with the Data Analytics Specialists Leaders (i.e., Sales and Customer Engineering), Product Leaders and Executive Leadership to ensure solutions alignment with engineering, product priorities, and Go-To-Market (GTM) priorities.
• Work with Customer Engineering Leadership to develop and motivate a team of engineers spanning across APAC specialists in the areas of focus and assist in the delivery of published materials aligned to the specific specialist focus area, supporting Google Cloud solutions and use cases.
• Reflect the APAC customers, partners and field to influence a data-driven goal and direction for technology, solutions and use case development at Google Cloud.
• Travel up to 30% of the time as needed.

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 6 years of experience in a customer-facing role in the enterprise space, translating customer business needs into cloud centric solutions in the field of data analytics and big data.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (e.g., ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.

PREFERRED QUALIFICATIONS

• Understanding of Data Analytics and the business issues in adopting Data Analytics solutions.
• Ability to collaborate across organizational boundaries, build relationships, and import and export talent and ideas to achieve a broader organizational goal.
• Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
• Excellent presentation skills, with the ability to deliver a professional business and technical pitch to the C-level and Board levels.

About the Client

Our client is one of the reputed MNC firms in Singapore

Responsibilities

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

• Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

• Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

• Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

• Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

• Stay updated with emerging trends and advancements in the big data technologies space to ensure continuous improvement and innovation

Skills/Requirement

Must have Skills:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

• Strong experience in developing Spark applications. Experience with Spark Streaming is a plus

• Proficiency in Scala programming language and familiarity with functional programming concepts

• In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL

• Experience integrating and working with Elasticsearch for data indexing and search applications

• Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization

• Experience with distributed computing, parallel processing, and working with large datasets

• Familiarity with big data technologies such as Hadoop, Hive, and HDFS

• Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries

• Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

• Familiarity with version control systems (e.g., Git) and collaborative development workflows

• Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret to inform that only shortlisted candidates will be contacted

PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Registration No. R1547247 (Jyothi Chandrakanth Kamath)

**********************************

The information contained in this e-mail and any accompanying documents may contain information that is confidential or otherwise protected from disclosure. If you are not the intended recipient of this message, or if this message has been addressed to you in error, please immediately alert the sender by reply e-mail and then delete this message, including any attachments. Any dissemination, distribution or other use of the contents of this message by anyone other than the intended recipient is strictly prohibited.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries.

All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.

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Key Responsibilities

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives.
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions.
• Ensure data quality and integrity throughout the data processing lifecycle.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Key Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc).
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket).
• Experience with Graphana, Prometheus, Splunk will be an added benefit.
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.