Total 3,998 data entry clerk job vacancies in Information Technology category in Singapore

About the role: We are seeking a highly skilled and motivated Data Engineer to join our Global Transformation Company. As a Data & AI Data Engineer in the Hospital & Health Care industry, you will play a crucial role in managing, transforming, and analysing complex healthcare datasets to drive data-driven decisions and improve patient outcomes. You will be responsible for developing robust data pipelines, implementing data integration solutions, and ensuring data quality and integrity.

If you are passionate about data, have strong analytical and problem-solving skills, and want to make a meaningful impact in healthcare, this is the ideal opportunity for you. Join our dynamic team and contribute to shaping the future of healthcare through data and AI.

Responsibilities:

• Design, develop, and deploy data pipelines, ETL processes, and data integration solutions to support healthcare data acquisition and analysis.
• Implement scalable and efficient data storage, retrieval, and transformation processes using modern data technologies and tools.
• Collaborate with data scientists, data analysts, and other cross-functional teams to identify data requirements and deliver solutions that meet business and analytical needs.
• Perform data profiling, cleansing, and validation to ensure data quality and integrity.
• Optimize and tune database queries and data processing workflows to achieve high performance and efficiency.
• Develop and maintain documentation for data models, data dictionaries, and data transformation processes.
• Assist in troubleshooting and resolving data-related issues, ensuring timely and accurate resolutions.

Qualifications & Experience:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer, Data Analyst, or similar role in the healthcare industry.
• Expertise in SQL, Python, and data querying languages.
• Experience with cloud platforms such as AWS or Azure.
• Proficiency in data modelling, data warehousing concepts, and database design principles.
• Familiarity with big data technologies (Hadoop, Spark, etc.) and distributed data processing frameworks.
• Knowledge of machine learning algorithms and AI technologies.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Attention to detail and a commitment to delivering quality work.

Skills:

• Outstanding interpersonal and communication skills.
• Strong planning, organization, and time management skills.
• Proficiency in Clinical Information Systems
• Demonstrable success in stakeholder interactions, delivering aligned solutions.
• Familiarity with clinical environments and terminology.
• Strong values of integrity, commitment, and self-improvement.
• A methodical, thorough yet flexible approach.
• Process-driven mindset.

Overview

The Application Test Engineer is responsible to develop automation scripts based on the test scenario. The scripts to conform to standards and are delivered with quality, meeting schedule and requirements.

What we seek to accomplish together:

• Designing and developing test automation scripts based on the requirements provided
• Using test automation guidelines
• Collaborate with Business Analyst (BA) and software engineers to develop the automation scripts
• Advise project team on design consideration to facilitate meeting of requirements.
• Advise business analysts and/or customers on the testing requirements and test techniques
• Participate in the integration testing, system testing, User Acceptance Test (UAT) activities to ensure the smooth execution of automation scripts in respective environment.
• Analyze test results and work with respective teams to resolve issues such as defect open and resolution rate, bottlenecks in performance and other defects
• Prepare test reports & maintain up-to-date documentation
• Manage security testing and non-functional testing activities and ensure the planned test activities are completed as scheduled

A little about you:

• Degree in Computer Science / Computer Engineering / Information Technology related field, or IT equivalent
• Preferably 4 years or more of experience as Application Test engineer
• Experience with TOSCA Automation testing tools.
• Familiar with Unix/Linux commands, Shell Scripting and Windows Powershell
• Familiar with Financial banking domain (Payment / Securities systems) will be added advantage
• Experience using scrum-based software development tools like JIRA, confluence
• Preferably to have experience in integration with DevOps & CI/CD
• Excellent design, strong communication both oral & written and working in a medium to large teams

Key Responsibilities

• Knowledgeable in data analysis and interested in operations management, document management and virtual knowledge-space construction
• Having working knowledge of the biopharma environment is preferred
• Responsible for the use of data science methods in the management of departmental resources including physical inventory, the purchasing and tracking of lab materials, and other consumables
• Helps with providing data set to help management make operational, administrative and HR decisions such as the data visualization, retrieval and the tracking of training records
• Serves as the liaison between Quality, and EHS department and various production groups, responsible for departmental document management and distribution; responsible for departmental safety and quality inspections and gathering feedback
• Complete other tasks assigned by the supervisor related to the smooth running of the department

Key Requirements

• Diploma / Bachelor’s degree in Cell biology, Molecular Biology, Biomedicine and other related majors is preferred
• Preferred internship period - Aug to Dec 2024
• Good experimental habits, ability to process and analyze data and solve problems, and strong execution skills
• Proficiency in operating MS Office suite software
• Knowledge of quality as it pertains to a manufacturing setting
• Mastery of the relevant rules and regulations involved in the position

Who are we?

Value Added Services (VAS) is one of three growth strategies for Visa globally, aimed at diversifying Visa’s revenue with products and solutions that differentiate its network and deliver valuable solutions across other networks.

We are seeking a dynamic Manager to join our newly established GTM and Commercialization team within the VAS organization. This team is dedicated to expanding VAS revenue growth in the Asia Pacific region, by making VAS products easier to buy and sell.

The successful candidate will be based in Singapore, working closely with both Hub and market leaders.

This role is perfect for those who thrive on variety and enjoy tackling new challenges each day, and not seeking a routine job profile. Given the small size of our team, the role requires a high degree of flexibility and adaptability to handle different types of work. The ideal candidate should be proficient with numbers, have a firm grasp on business fundamentals, and possess strong interpersonal skills.

If you enjoy a dynamic work environment, have an aptitude for numbers, and have a keen understanding of what drives business success, I would love to hear from you.

Primary responsibilities:

• Sales Pipeline Tracking and Management: Oversee the sales pipeline, ensuring it aligns with our commercial goals. Regularly monitor and manage sales progress and outcomes, identifying bottlenecks and opportunities to optimize the sales process. Your role will be pivotal in driving revenue growth through effective pipeline management.
• Training and Education of VAS Specialist and Generalist sellers: Partner with functional teams to develop and deliver training programs that not only enhance the skills and knowledge of sales teams but also instill a deep understanding of our commercial objectives. Equip the team with the necessary tools and strategies to effectively sell our VAS products, thereby contributing to revenue growth.
• Data-Driven Sales Targeting: Create and maintain robust sales models that use data to identify key sales targets within the VAS organization. Your role will involve using these models to drive sales strategies that are aligned with our commercial goals, ultimately contributing to revenue growth.
• Data Analysis and Insights: Leverage data to drive strategic decision-making across the organization. Provide key insights on product utilization, client demographics, sales trends, and potential growth opportunities.
• Cross-Functional Collaboration: Work closely with internal functions to drive alignment on commercial goals and strategies. This includes facilitating effective communication and collaboration between teams to ensure a One Visa approach to achieving our commercial objectives.
• Influencing VAS Policies and Procedures: Take a proactive role in influencing VAS policies and procedures to make it easier to sell our products. This will involve understanding the barriers to sales and working to remove these through changes to policies and procedures.
• Commercial Strategy Development: Work closely with the team leader to support the development and implementation of commercial strategies for VAS products.

• Assist in ongoing ERP projects as well as roll-out activities such as User Acceptance Testing.
• Helping to clean and validate customer, supplier and inventory data by identifying and correcting errors and inconsistencies. Ensuring accuracy and completeness of data.
• Data preparation and data entry into the software and spreadsheets, as well as other supportive tasks during the implementation.
• Strong communication skills to engage with internal and external stakeholders.
• Strong interest in building data tools & automation. Good knowledge of Power BI is an advantage for assisting in building visualization dashboards. Strongly self-motivated, proactive, and willing to learn due to our knowledge limitation in Power BI.
• Documenting ERP processes, user manuals, and other related information for future reference.

1. Possess good knowledge of data centre operation tasks and duties.
2. Liaise with DC/Building landlord to ensure optimal operation of electricity, HVAC and monitoring environments within Mission Critical IT facilities in Data Centre and remote buildings.
3. Strong ability to support activities in data centre and computer rooms
4. Ensure data centre physical security procedures are followed strictly.
5. Prompt escalation of incidents following the standard incident response procedure & track till closure
6. To generate reports to management


Requirements
1. Minimum 5 years Data Centre facility experience preferable in a team.
2. Experience working in a high-pressured environment with 24x7 on-call responsibilities
3. Strong understanding of incident, problem and change management procedures based on ITIL best practices
4. Experienced in supporting Data Centre vendors, out-sourcing vendors.
5. Ability to multi-task and proficient in Microsoft Office applications; Excel & PowerPoint
6. Good written and verbal communication skills
7. Highly motivated and self-driven
8. An analytical and inquiring mind to derive innovative solutions.
9. Ability to work independently and in a team
10. Must have experience working in data centre operations in financial institutions.
11. Familiarity with equipment requirements in Data Centre such as storage, servers and networking equipment such as routers, switches is a plus.
12. Familiar with Structured Cabling system and its related components.

Regards,

Lini

Recruitment Consultant

R22108463

• Hiring to create the future ready Data & Analytics professional!
  Luxoft, a DXC Technology Company has embarked upon an extensive multi-year program to hire and upskill professionals and engage them in projects involving cutting edge data & analytics solutions for our extensive global clientele.
  If you wish to progress your career into next gen data engineering, visualization, and advanced analytics solutions this opportunity is for you. We seek highly energetic Fresh Professionals with 0 to 3 years or Mid-Career Professionals with more than 3 years of experience having fundamental programming skills, analytical thinking, data concepts and a great passion to learn. Prior extensive experience in data & analytics projects is not mandatory but a definite plus.
  Applicants need to be Singapore citizens.
  This engagement shall involve an extensive 12 months training program (for Fresh Professionals) and 6 months training program (for Mid-Career Professionals) well interlaced with embedded on the job training in live internal or client projects. Post completion of training the candidate shall be certified as a "Data Warehouse & Big Data Professional" ready to be immediately deployed into client projects
  
  Training details
  In the course of this engagement candidates shall be trained on a variety of cutting edge data & analytics technologies such as:
  1. Data modelling using different schema patterns such as Star/Snowflake/DataVault in Data Warehouse or Data Mining
  2. Python programming
  3. Hadoop architecture & HDFS storage platforms
  4. Tools like Sqoop for Ingestion of data from source systems to HDFS
  5. Apache Kafka architecture to create topics and partitions
  6. ETL job development, monitoring & optimization using Hive script & Impala
  7. Spark programming - Spark SQL, Spark Streaming
  8. Data pipeline setup, analysis, insights & analytics using end to end data solutioning platforms such as Cloudera leveraging cloud infrastructure on AWS or Azure
  9. Data quality, governance & security technologies
  
  Training program shall also include other topics such as:
  1. Communication management
  2. Stakeholder management
  3. Change management
  4. Creative & computational thinking
  5. Business analysis
  
  Possible Roles post training period:
  1. Data engineer
  2. Data architect
  3. Data visualization & analytics expert
  4. Advanced data analytics expert
  5. AI/ML expert
• Responsibilities:• Demonstrate passion to learn cutting edge big data technologies
  • Consistently participate in the training sessions and learning programs
  • Actively engage and apply learnings into live internal or client projects during course of the training
• Mandatory Skills:Java
  Python
  SQL
  
• Mandatory Skills Description:• A good degree, postgraduate or Diploma qualification in IT Engineering
  • Fresh Professionals (0-3 years of work experience) or Mid-Career Professionals (3+ years of work experience) in IT, along with good knowledge in data structures, SQL and Java OR Python
  • Analytical and problem-solving skills
  • Strong written and spoken communication skills and interpersonal skills
• Nice-to-Have Skills:• Fundamental understanding of Big Data concepts (academic trainings or certifications)
  • Experience in financial services domain

Job Duties:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Job Requirements:

• Serve as a technical expert on executive-level project teams providing technical direction, interpretation and alternatives

• Improve Problem Management and Stability within MS SQL environments

• Willingness to work in a high-volume environment

• Effectively collaborate with architecture, application development, requirements group, QA, testing and PMO teams

• Work with Audit/Compliance teams to install and maintain MS SQL security updates and patches

• Manage trouble and request queues ensuring timely resolution

• Provide expert support, analysis and research into exceptionally complex problems

• Assist with analysis, evaluation and preparation of recommendations for system improvements, optimization, development, and/or maintenance efforts

• Monitor status of critical system services for performance and server health

• Develop mutually beneficial working relationships with customers.

• Review, improve and approve technical work, to guide others, and to teach.

• Provide production support for MS SQL database systems independently.

• Provide COB support for MS SQL database systems.

• Identify tuning opportunities, implement improvements and advise developers on SQL tuning options.

• Install, Patch and upgrade MS SQL servers.

Our client is a local bank.

Location: Raffles Place

Benefits:

• Competitve salary and benefits
• Hybrid working arrangement (depending on nature of role)
• Learning & development opportunities

Responsibilities:

• Foster robust relationships with stakeholders to identify opportunities for harnessing data effectively, facilitating the successful delivery of reports, dashboards, and analytics.

• Develop and refine our approach to HR analytics for addressing business challenges through advanced analysis and a comprehensive understanding of data infrastructure and products.

• Interpret and communicate data insights to stakeholders, empowering them to make informed business decisions based on data.

• Take the lead on HR data and metrics projects aimed at creating meaningful measures and benchmarks to enhance and optimize organizational performance.

• Create and implement data models to support forward-thinking HR initiatives, utilizing predictive analytics to anticipate, evaluate, and analyze various business challenges and objectives.

• Establish a rigorous and systematic analytical model and methodology, integrating market research, data, and theory to drive impactful HR analysis.

Requirements:

• At least 7 years of experience in HR analytics, business analytics, organizational research, or organizational psychology.

• Extensive expertise in data analysis, including analytics data models, data warehousing, and data product management.

• Proficient in utilizing popular data analysis and visualization tools such as SQL, Tableau, Python, Qlikview, and PowerBI.

• Demonstrated experience in collaborating with various HR and business stakeholders, possessing exceptional communication skills and the ability to influence others effectively. Proficient in storytelling.

• Strong analytical and problem-solving abilities, capable of utilizing data to extract valuable insights and make informed, data-driven decisions.

Attention to: Hailey

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

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

Major Responsibilities

• Ensure site operations, including incident management and escalation in accordance with approved Client/JLL procedures.
• Undertake and supervise planned and reactive activities utilizing the CMMS platform.
• To check on site repair and maintenance carried out by subcontractors to ensure work completion.
• Ensure the implementation of safe systems on site activities.
• Undertake regular inspections of the facility on energy conservation, maintenance practices, utility management and risk management procedures.
• Provide training to engineering maintenance partners on equipment operational procedures, including emergency procedures and requirements.
• Maintain the site asset database, provide updates in accordance with CMMS requirements.
• Prepare and provide input to the site’s monthly reporting for client.
• Ensure compliance with statutory regulations on fire, health and safety standards.
• Ensure all safety procedures, including Crisis Management/ Business Continuity and Emergency Procedures are maintained at all times.
• Ensure that maintenance documentation meets the required standards and sufficient information is provided to operate an effective asset management regiment.
• Participate in site reviews, including maintenance standards, equipment replacement, security, change control, single points of failure, Tier adherence and operational risk.
• To perform additional tasks as required by the Shift Lead.

Ideal Experience

• Nitec, Higher Nitec or Tertiary qualifications in a mechanical, electrical or operational engineering discipline.
• 2 - 3 years of relevant experience in engineering or constructions services.
• 1 – 2 years’ experience in the operation of electrical and mechanical services in Tier III or equivalent data centre or critical facility.
• Critical environment experience within similar sized site or operation.
• Experienced with continuous improvement initiatives and preparation of reports.

1. Possess good knowledge of data centre operation tasks and duties.

2. Liaise with DC/Building landlord to ensure optimal operation of electricity, HVAC and monitoring environments within Mission Critical IT facilities in Data Centre and remote buildings.

3. Strong ability to support activities in data centre and computer rooms

4. Ensure data centre physical security procedures are followed strictly.

5. Prompt escalation of incidents following the standard incident response procedure & track till closure

6. To generate reports to management

Requirements

1. Minimum 5 years Data Centre facility experience preferable in a team.

2. Experience working in a high-pressured environment with 24x7 on-call responsibilities

3. Strong understanding of incident, problem and change management procedures based on ITIL best practices

4. Experienced in supporting Data Centre vendors, out-sourcing vendors.

5. Ability to multi-task and proficient in Microsoft Office applications; Excel & PowerPoint

6. Good written and verbal communication skills

7. Highly motivated and self-driven

8. An analytical and inquiring mind to derive innovative solutions.

9. Ability to work independently and in a team

10. Must have experience working in data centre operations in financial institutions.

11. Familiarity with equipment requirements in Data Centre such as storage, servers and networking equipment such as routers, switches is a plus.

12. Familiar with Structured Cabling system and its related components.

[What you will be working on]

- Leading industry and internal projects focused on innovative data application solutions, with a specialization in IoT technologies and other relevant domains.

- Providing expert consultation and proficient development capabilities in data engineering, analytics, and IoT across diverse industries.

- Analysing data technology trends, formulating comprehensive project proposals, and facilitating the implementation of advanced data solutions.

- Initiating and managing project proposals for funding, grants, and sponsorships relevant to data applications, analytics, signal processing, and IoT technologies.

- Leading and coordinating various data-centric and IoT programs for the organization, ensuring alignment with strategic objectives.

[What we are looking for]

- Suitable credentials in Computer Science, Data Science, Electrical Engineering, or a related field.

- A minimum of 10 years of hands-on experience in data engineering, analytics, and software development with a strong emphasis on IoT.

- Advanced proficiency in software development, including languages such as Python, Java, C++ and proficiency in relevant frameworks (e.g., TensorFlow, PyTorch).

- Strong expertise in data engineering, data analytics, statistical analysis, signal processing, and a comprehensive understanding of the IoT ecosystem.

Knowledge of multiple database systems (e.g., MySQL, MongoDB, Apache Hadoop) and experience with big data technologies.

- Familiarity or experience in Cloud computing, Linux/Unix, networking technologies, and the integration of IoT data at the backend.

Applicants may check their application status at the end of 8 weeks from the closing date of this job posting.

My client, based in Singapore, They are committed in delivering innovative digital entertainment solutions. Their flagship product caters to the global gaming market. Users worldwide engage in popular party games, interactive chats, and karaoke sessions on our platform. Since inception, their products has expanded globally, reaching various regions including Greater China, the Middle East, Japan, Korea, and North America, achieving significant success

Work location: Science Park, nearest station - is Kent Ridge MRT station

Role

• Oversee the development of product risk control business indicators, including monitoring and conducting attribution analysis for risk control business.
• Develop strategies for product risk control, track their effectiveness, and establish a comprehensive risk control data indicator system for the business line.
• Target platform black and gray production users, extract features, devise effective response strategies, and promptly halt illicit activities.
• Demonstrate quick learning and thinking abilities, possess a sharp data insight, structured thinking skills, cross-team collaboration prowess, and a fervent dedication to practical business problem-solving.
• Proficient in data statistics and related professional skills, adept at applying regression, classification, clustering, deep learning, and other machine learning algorithms to address business challenges.

Qualifications:

• Hold a Bachelor's degree or higher, with an interest in mathematical statistics; possess a foundational understanding of computer science or mathematics
• Proficient in commonly used data analysis tools and languages such as Excel, SQL, R, Python, and SPSS.
• Exhibit strong logical thinking, communication skills, reliability, self-motivation, curiosity, and an interest in the internet and data analysis.

APPLY NOW! Interviews are ongoing! Email to [email protected]

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

Chiam Lee Ping Dayna

Consultant

Reg. No: R1764404

Stellar- Link Partners Pte Ltd (EA License: 21S0698)

Mandatory Skills

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

Note: Proficiency in Spark SQL is mandatory. Experience with Avaloq data is preferred

WFH Role

Require strong Data Center Migrations experience.

Senior Network Architect to enable the goals and objectives of the Data Center Transformation (DCT) program. The Senior Network Architect will be responsible for designing migration strategies and infrastructure solutions to fulfill client and business requirements.

• The Senior Network Architect will establish and maintain a professional working relationship at multiple levels both internally and with the client by developing a core understanding of the client's unique business needs and competitive challenges, shape strategy and architect solutions to fulfill client needs, and interface with both internal and external/ industry experts to anticipate customer needs and facilitate network solution development as follows:
• Provide technical design recommendations and associated architectures by gathering and documenting existing client network and device information into a workbook that will be leveraged to develop the migration plan.
• Define high level requirements and conducting cost/benefit analysis to maximize utilization of available resources.
  Make recommendations for the establishment/update of standards and guidelines for the designof technology solutions including integration of Network technologies across multiple platforms
• The successful candidate will provide technical leadership in Network infrastructure and design and establish standards and guidelines for the design of technology solutions
  Working knowledge and in-depth experience in the areas of TCP/IP, DNS, Lan/Wan infrastructures, VPN, Cisco routers and switches, including Nexus, Opnet, Nortel switches,
  BlueCoat proxy, IPS, Checkpoint firewalls, OSPF routing, SNMP, VLans, Access Control Lists,IPSec and associated network monitoring and security tools are required.

REQUIRED:

• Minimum 10+ years of experience in a senior level engineering or architecture role engaged in the planning and solution design of IP network infrastructures including technologies such as BGP/OSPF routing, L2/L3 switching, server load balancing, QoS, MPLS, network security and network monitoring in large scale multi-site data center, service provider, or SaaS environments.
• Experience with design of next generation data center networks enabling cloud computing including technologies such as network virtualization, unified network fabric and Software Defined Networks is a plus.
• University degree in Computer Science, Software Engineering or equivalent academic experience
• Demonstrated experience required with solution design of delivering video over IP (IPTV), OTT video delivery (Internet and mobile video streaming), CDN, Storage, DNS, DHCP and IP Address Management infrastructure is a plus.
• Thorough knowledge of IP multicast and associated protocols UDP, IGMP, PIM routing, etc.
• Hands on experience in building and configuring network for multiple disciplines
• Demonstrated experience with network security technologies including network firewall, IPSec and SSL VPN, RADIUS/TACACS, network intrusion and detection, network access control and web content proxy/filtering is a plus.
• Solid understanding network and network security architecture best practices
• Ability to think on a multi-site enterprise level; be forward looking and drive tactical and strategic technology roadmaps.
• Ability to work well under pressure and to meet tight deadlines.
• Must be self-motivated and able to work independently with minimal supervision.
• Possess excellent written and verbal communication skills, presentation, documentation and problem solving skills