Project Engineer (Data Center)

Job Summary:

The Project Engineer will be responsible for managing and coordinating data center construction projects. This role involves overseeing all aspects of the project lifecycle, from planning to execution, to ensure that projects are completed on time, within scope, and within budget.

Roles & Responsibilities:

• Develop and manage project plans, schedules, and budgets.
• Coordinate with cross-functional teams, contractors, and vendors to ensure project alignment.
• Oversee on-site construction activities to ensure compliance with safety standards and project specifications.
• Conduct regular project meetings and provide status updates to stakeholders.
• Identify and mitigate project risks and issues.
• Ensure all project documentation is complete and accurate.
• Facilitate communication between project teams and ensure timely resolution of issues.

Job Requirements:

• Bachelor's degree in Engineering, Construction Management, or a related field.
• Proven experience in managing construction projects, preferably in the data center industry.
• Strong understanding of construction methodologies, safety standards, and project management principles.
• Excellent communication and interpersonal skills.
• Proficient in project management software (e.g., MS Project, Primavera).
• PMP certification is a plus.

Title: Data Operations Lead

For quick response, please share your resume to [email protected] or WA to +65 92333815.

The role is to manage IT Operations of the datawarehouse /data lake environment and the analytics components to ensure the effective planning, governance and execution to meet the operational service levels agreements and audit compliance requirements.

Key Responsibilities

• Lead database operations, ensuring high availability, performance, and scalability in AWS environments.
• Oversee the deployment, maintenance, and optimization of databases using AWS RDS, Redshift, DynamoDB, and other cloud-native services.
• Manage data integration and transformation workflows using Informatica tools.
• Develop and enforce database governance, backup, and disaster recovery strategies.

Required Skills and Qualifications

• Extensive experience in database operations, particularly with AWS services such as RDS, Redshift, DynamoDB, Aurora, and S3.
• Strong expertise in Informatica PowerCenter, Informatica Cloud (IDMC), or similar data integration tools.
• Deep understanding of operational frameworks, including incident, problem, and change management processes.
• Proficiency in database technologies such as PostgreSQL, MySQL, or SQL Server.
• Familiarity with scripting and automation using Python, Shell scripting, or similar tools.
• Hands-on experience with monitoring and logging tools like CloudWatch, Grafana, or Splunk.
• Strong understanding of data security, compliance, and governance practices.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

HP: +65 92333815

Recruitment Manager

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

• Support the transition of data migration activities from other vendors and ensure alignment with the overall migration strategy.
• Refine data migration requirements, update migration strategy, and coordinate with stakeholders to ensure all aspects of the migration are covered.
• Assess data quality issues, collaborate with business users to prioritize data quality analysis and address any concerns.
• Build and manage test cases, scenarios, test scripts, and define entry/exit criteria for successful data migration.
• Define and establish key performance indicators (KPIs) and dashboards to monitor the execution of the data migration process.
• Work closely with the Data Migration Lead to ensure adherence to timelines and project milestones while supporting the overall data migration strategy.
• Min. 3 years of IT Service Management (ITSM) experience, covering all phases of ITSM (e.g., ITIL).
• Min. 3 years of Business Analyst experience, including documentation and project management.
• Solid knowledge of ITIL or other ITSM frameworks.
• At least 3 years of working experience in banking/ financial service

Note: This is an unpaid Internship

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis. The ideal candidate will have a passion for startups and contributing to the growth of a new company

Responsibilities

• Understand the day-to-day issues that our business faces, which can be better understood with data
• Compile and analyze data related to business' issues
• Develop clear visualizations to convey complicated data in a straightforward fashion
• Work on marketing strategies and help bring them to life

Qualifications

• Currently enrolled in a relevant academic program (e.g., Data Science, Computer Science, Business, or related fields).
• Strong knowledge of data management and analysis techniques.
• Experience with web scraping tools (such as Python, BeautifulSoup, Scrapy, or similar tools).
• Comfortable working with spreadsheets (Excel, Google Sheets) and data visualization tools.
• Ability to work independently, take initiative, and meet deadlines.
• Strong attention to detail and problem-solving skills.
• A passion for startups and contributing to the growth of a new company.

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.

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

Team Introduction

TikTok’s Product data scientist team is a critical component of the platform’s success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market.

Job Description

1. Lead and execute the local service data analysis project of international short videos, help business teams solve problems encountered in POI product construction through analysis, and achieve business goals.
2. Deeply understand user preferences, POI usage, and decision-making psychology, discover the essential needs and pain points of the business through targeted exploratory analysis, find opportunities for improvement/efficiency, provide specific feasible optimization suggestions, promote implementation, and bring actual business improvement.
3. Responsible for formulating and optimizing various product/operation strategies, user decision attribution, A/B experiment design and analysis, abnormal analysis of core indicators, guiding scientific decision-making and iterative closed-loop, promoting the implementation and continuous optimization of data analysis conclusions.

Minimum Qualifications

1. Bachelor's degree or above, with more than 3 years of work experience.
2. Experience in local life, e-commerce, and other related industries is preferred, with a background in data science, quantitative analysis, such as long chain attribution, statistics, computer science, economics, etc.
3. Possess data analysis capabilities to solve complex problems, design data collection schemes, excellent communication and coordination skills, and cross-departmental team collaboration abilities.

Preferred Qualifications

1. Good at thinking and summarizing, able to continuously improve work methods.
2. Able to quickly understand business logic, quantify the causes and effects of business problems through data, and provide specific feasible optimization solutions.

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.

Principal data strategists at Thoughtworks are experienced consultants who work with clients to create winning data solutions that meet business goals. They play a pivotal role in developing modern data architecture approaches that directly address our clients' key business objectives. Their responsibilities span from conducting in-depth reviews of current data and technology strategy and coming up with targeted data strategy, guiding clients to unlock the full potential of data and providing high-level road-maps.

This role entails a mix of advisory responsibilities in data strategy and governance, as well as the commercial growth of the business. Being able to grow the Data and AI business in the region and develop compelling cross functional proposals using a mixture of consulting and technology services will be a necessity.

Job responsibilities

• You will be responsible for the commercial growth of the business within your region, collaborating with the business to meet personal revenue and growth targets.
• You will collaborate closely with clients to understand their business ecosystem and goals, and leverage this understanding to co-create data and technology strategies aligned with their objectives.
• You will help define a clear vision for the client enterprise to become data-driven and aligned with the overall business strategy.
• You will also consult on complex data programs, providing technical leadership and guidance as a data subject matter expert.
• You will lead and interact with clients across various domains, addressing a spectrum of challenging problems, and collaborate with sales to turn them into viable solutions.
• You will leverage your expertise to act as a translator between business, data and IT, and communicate data strategy to senior client stakeholders, including C-level.
• You will own the creation of end-to-end viable data solutions keeping in mind long-term impacts and overseeing program inceptions for new product development.
• You will be responsible for formulating data governance strategies addressing security, privacy and compliance requirements.
• You will enable capability building in data strategy and governance, growing the next generation of data strategists.
• You will create differentiated assets in data strategy and governance to take to market.
• You will represent Thoughtworks in various online and offline forums, including events and conferences.

Job qualifications

Technical skills

• You have extensive experience as a consultant, with a proven track record of creating data strategy and solutions that drive business value.
• You have solid experience with data platforms and technologies.
• You have experience in providing advisory and consultative guidance for clients and cross-delivery teams.
• You have experience in engaging with C-level stakeholders to influence and enable the operationalization of an enterprise-wide data strategy.
• You have demonstrated leadership abilities, with the capacity to lead technical teams and drive projects to successful completion.
• You are flexible and adaptable to work on a variety of projects, leveraging technical expertise and leadership skills to maximize impact.
• You have a track record of ensuring proper data governance policies, including data lineage, quality checks and classification.
• You are familiar with AI and ML use cases and landscapes to influence the build of the right solutions to harness insights from data.
• You have experience in building high-level solution frameworks, leveraging various paradigms such as data-as-a-product, federated governance, et al, where needed.
• You have experience with data governance, data security and data privacy supporting business requirements.
• You are able to identify new business opportunities and develop differentiated Go-To-Market strategies to grow the Data and AI client and revenue base in the SEA market.
• You are able to work alongside our cloud partners to bring an informed perspective to accelerate new client acquisitions.

Professional skills

• You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
• You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
• You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
• You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
• Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
• Ideate and work with marketing to develop go to market materials, campaigns and sales initiatives to increase brand awareness and drive revenue growth.

• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

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

Data Analyst

6-month contract

About the client:

We deliver ingenious health solutions that enable people to live their best lives. We are a $6.5 billion global healthcare company focused on making a world of difference for women, their families and the communities they care for. We have an important portfolio and are growing it by investing in the unmet needs of Women’s Health, expanding access to leading biosimilars and touching lives with a diverse and trusted portfolio of health solutions. Our Vision is clear: A better and healthier every day for every woman.

As an equal opportunity employer, we welcome applications from candidates with a diverse background. We are committed to creating an inclusive environment for all our applicants.

WHAT WILL YOU DO:

The incumbent is responsible in:

• Distributor model maintenance & Territory alignment activities
• Support the Sales Force Effectiveness (SFE) Manager in terms of:

- Required sales team performance analytics

- Including market cycle meeting presentation preparation

• Support Sales Force Effectiveness (SFE) Manager and Sales Force Effectiveness (SFE) Operations role in terms of:

- Relevant data analysis and input gathering from multi markets.

- Utilizing Power BI skills and data management skills for Dashboards reports

REQUIREMENTS:

• Bachelor’s degree or diploma in any fields.
• At least 2 years of data analysis experience
• Proficient in MS Office (i.e. MS Excel) and Data Analytics tools
• Good communication skills

Reg No: R22104540

EA License no: 94C3609

Responsibilities

As a key contributor to our team, you will help build a robust Data Platform that powers analytics and AI-driven solutions. Your responsibilities include:

• Building and maintaining end-to-end data systems using tools like Python, Scala, or similar.
• Designing, developing, and managing data pipelines for real-time decision-making, reporting, and data collection.
• Implementing processes to ensure data quality, governance, and security.
• Developing ETL/ELT processes and working with structured, semi-structured, and unstructured data.
• Creating and optimizing data models and workflows to support data transformation and storage.
• Leveraging cloud data technologies and services, including Azure, for scalable and efficient data solutions.
• Collaborating with cross-functional teams to produce high-quality, well-tested, and secure code.
• Utilizing tools such as Spark Streaming, Delta Tables, and Databricks for handling large datasets.
• Managing diverse data stores, including data warehouses, RDBMS, and in-memory caches.
• Supporting data-driven decision-making with innovative solutions and advanced analytics.

Qualifications

Required Skills:

• Education: BS/MS in Computer Science, Information Systems, Data Analytics, or equivalent experience.
• At least 2+ years of experience in:Building pipelines and incorporating workflow tools into data system designs.
  ETL/ELT, Data Warehousing, or Business Intelligence Development.
  Leveraging SQL for data investigations and problem-solving.
  Working with cloud platforms and services for data processing and storage.
  Handling structured, semi-structured, and unstructured data across diverse storage systems.
  
• Hands-on experience with:Large datasets and tools like Databricks or PySpark.
  Storage systems such as Azure Data Lakes or other cloud-native solutions.
  Spark Streaming and creating Delta (Live) Tables.
  
• Strong background in design, implementation, and testing for scalable data solutions.
• Proficiency in developing for continuous integration and automated deployments.
• Ability to work in a collaborative environment with excellent communication skills.

Preferred Skills:

• Experience with microservices platforms like Kubernetes, Docker, and Helm Charts.
• Familiarity with event-driven streaming systems (Kafka, Event Hub, Event Grid, Apache Flink).
• Knowledge of advanced tools such as DBT or Data Vault methodologies.
• Experience with Microsoft Fabric or administering BI tools.
• Proficiency in additional programming languages like JavaScript, Java, or C#.
• Ability to guide and mentor other developers, providing technical leadership and expertise.

Responsibilities:

1. Assist in managing and analysing data assets, ensuring data quality and accuracy.
2. Collaborate with teams to understand data needs and contribute to data solutions and projects.
3. Utilize data analytics tools and techniques to assist in deriving meaningful insights.
4. Support data visualization efforts to communicate findings to stakeholders.
5. Participate in data governance and compliance initiatives to uphold data security and privacy.
6. Contribute to the documentation of data processes and procedures.
7. Stay informed about industry trends in data analytics and best practices.
8. Provide support in data-driven business planning and performance enhancement.

Qualifications:

• Bachelor's degree in Software Engineering, or a related field.
• Minimum 5 years of experience or understanding of data analysis, data management, and data visualization.
• Hands on experience with data analytics tools such as SQL, Python & Coding
• Good problem-solving and analytical skills with an eagerness to learn and grow.
• Strong attention to detail and organizational abilities.
• Collaborative mindset and willingness to work in a team-oriented environmen

Interested candidate please submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile > https://sg.go.persolkelly.com/job/apply/10579

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

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance, and skills upgrading services, and partnering with employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nationwide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use, and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID <R1105286> (Ngiam Xinyi)

Your career at NTT DATA Business Solutions

Empowering You – to feel our passion for SAP / Analytic Solutions

As NTT DATA Business Solutions, we are more than just a company. We are a team of innovative and passionate people who specialize in creating value-added SAP and Analytic solutions and guiding our customers on their journey to becoming intelligent businesses. We focus on SAP Consulting, SAP Development, Data Analytics, ServiceNow, Managed Cloud Services, Application Management Services (AMS) & Technology and beyond.

Our success is based on TOGETHERNESS, INNOVATION, TRUST, and SUSTAINABILITY – this is the heart of our corporate culture.

As part of the global NTT DATA Group, one of the top 10 IT service providers worldwide, we stand for our open and sustainable acting. More than 15,000 employees from 64 nations in over 30 countries show that diversity is integral to our DNA and that we live tolerance and respect every day.

People are the key to our success. We believe that every individual can make an important contribution and are therefore constantly on the lookout for talented people who can actively strengthen our team.

Are you ready to break new ground?

Job Summary

As a Cloud Data Architect, you will play a pivotal role in designing, building, and optimizing scalable, secure, and cost-effective cloud-based data solutions. This is a full-time/contract, onsite position based in our Singapore office. Collaborating closely with stakeholders, including clients and internal teams, you will deliver robust data architectures that support analytics, reporting, and data-driven decision-making.

We are seeking an innovative and creative thinker who can anticipate market needs, craft cutting-edge solutions, and provide significant value to our clients through forward-thinking data-driven technologies.

Key Responsibilities

• Cloud Data Architecture:Design and implement cloud-based data architectures that are scalable, secure, and performance-optimized, addressing both current and future business needs.
  
• Cloud Platform Expertise:Utilize leading cloud platforms (AWS, Azure, GCP) to build and deploy data pipelines, storage solutions, and advanced analytics systems.
  
• Cloud Security and Networking:Implement and maintain robust cloud security measures, including encryption, identity and access management (IAM), network security, and firewalls. Ensure compliance with relevant security standards and frameworks such as ISO 27001, SOC 2, and GDPR.
  Manage and configure network security tools such as Virtual Private Cloud (VPC), firewalls, and VPNs across cloud platforms to secure data in transit and at rest.
  
• Data Integration and Quality:Lead the design and execution of ETL/ELT processes, ensuring seamless integration of data from diverse sources while maintaining data quality, consistency, and accuracy.
  
• Cross-Functional Collaboration:Partner with Data Engineers, Data Scientists, Business Analysts, and clients to align technical solutions with business requirements and objectives.
  
• Performance and Cost Optimization:Continuously monitor and enhance the performance, scalability, and cost-efficiency of cloud data solutions, leveraging tools such as AWS CloudWatch, Azure Monitor, or Google Stackdriver to ensure adherence to industry best practices.
  
• Data Governance:Develop and enforce robust data governance frameworks, including policies for data access, compliance, security, and disaster recovery.
  
• Technology and Trend Evaluation:Stay informed about emerging technologies and market trends, recommending and implementing innovative tools and methodologies to enhance data architecture.
  
• Comprehensive Documentation:Prepare and maintain detailed technical documentation, including architectural diagrams, to support solution implementation and ensure alignment among stakeholders.
  
• Innovation and Client-Centric Solutions:Address evolving market demands and client challenges by developing creative, forward-thinking data solutions using modern technologies tailored to unique business needs.
  

Required Skills

• Technical Skills:Expertise in database design, including relational (SQL) and non-relational (NoSQL) databases, as well as data modeling techniques.
  Advanced knowledge of data pipeline and orchestration tools, such as Apache Airflow, AWS Glue, and Azure Data Factory.
  Proficiency in programming languages such as Python, Java, or Scala for data processing and system development.
  Familiarity with CI/CD pipelines and infrastructure-as-code tools like Terraform and CloudFormation for streamlined deployment and scalability.
  Proven ability to design innovative and differentiated data strategies, aligning solutions with market trends and unique business needs.
  Strong creative problem-solving skills, capable of thinking outside the box to address complex technical and market challenges.
  Experience with cloud-native services such as AWS S3, Azure Blob Storage, or Google BigQuery.
  
  Cloud Security and Networking Expertise:Strong understanding of cloud security principles, including encryption, IAM, network security, and firewalls.
  Hands-on experience with cloud security tools such as AWS IAM, Azure Security Center, Google Cloud IAM, and firewall configurations.
  Knowledge and experience in setting up and managing Virtual Private Cloud (VPC), firewalls, and VPNs across cloud environments to secure data.
  Familiarity with security frameworks such as SOC 2, ISO 27001, and GDPR compliance.
  
• Soft Skills:Exceptional problem-solving and analytical capabilities, with a results-driven approach to addressing technical and business challenges.
  Excellent communication and interpersonal skills to collaborate effectively with technical teams, stakeholders, and clients.
  Ability to simplify complex technical concepts and present actionable strategies that align with business objectives.
  Adaptability: Thrive in dynamic environments and adjust to evolving project scopes or client requirements.
  

Required Qualifications

• Essential Qualifications:Education: Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
  
• Preferred Qualifications:Cloud certifications such as AWS Certified Solutions Architect, Azure Data Engineer, or Google Professional Data Engineer.
  Security certifications such as AWS Certified Security – Specialty, Certified Cloud Security Professional (CCSP), or Certified Information Systems Security Professional (CISSP).
  Certifications in Big Data technologies or data governance frameworks.
  
• Experience:Minimum of 8 years of experience in data architecture, with at least 3 years specializing in cloud-based solutions.
  Hands-on experience with major cloud platforms such as AWS, Azure, or GCP.
  Proven track record of designing and implementing data architectures that support analytics and reporting at scale.
  
• Technical Expertise:Proficiency in database technologies, including SQL and NoSQL databases, and data modeling.
  Expertise in data pipeline tools like Apache Airflow, AWS Glue, and Azure Data Factory.
  Strong programming skills in Python, Java, or Scala.
  Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  
• Core Competencies:Ability to design innovative, scalable, and secure data solutions aligned with business needs.
  Strong knowledge of data governance, compliance, and security best practices.
  
• Additional Technical Skills:Familiarity with Big Data technologies like Hadoop, Spark, or Kafka.
  Knowledge of modern data warehouses (e.g., Snowflake, Databricks).
  Experience with containerization and orchestration tools like Docker and Kubernetes.
  
• Industry Knowledge:Exposure to specific industry verticals and their data needs, enabling tailored solutions.
  
• Creative Leadership:Demonstrated ability to lead innovation initiatives and craft strategies that align with emerging market trends.
  

Position Start Date: 1st January 2025

Responsibilities:

Key duties and responsibilities include, but are not limited to:

1. Application Development

• Analyze the needs and requirements, plan and execute application-related bug fixings, enhancements, or new projects, including testing, provisioning, training and deployment of new solutions and applications.
• Document IT solutions and applications design and configuration and keep the documentation up to date for operational reference.
• Assist with user onboarding and training on new applications.

2. Application Support:

• Provide technical support to staff and students regarding the school's various applications, including learning management systems (LMS), student information systems (SIS), and administrative software.
• Troubleshoot technical issues related to application access, functionality, and performance.
• Manage access and permission to IT applications and ensure only authorized users have access to IT solutions and data.

3. Data Management:

• Manage and maintain the school's student data, ensuring accuracy, integrity, and security.
• Generate reports and data visualizations to support informed decision-making by school administration.
• Assist with data migration projects and ensure compliance with relevant data privacy regulations.

4. System Administration & IT Support:

• Perform basic system administration tasks for applications and data storage systems, ensuring system uptime and availability.
• Install, configure, and maintain application software and related tools.
• Monitor system performance and identify potential issues.
• Provide IT support and solutions to end users within the school and provide AV support to teachers in classroom projection systems, Smart TVs and Audio Systems.
• Assist in troubleshooting (First Level) laptops and PCs. Analyses and recovers system when malfunction occurs or alerts the respective vendor for repair or replacement of affected parts if the item is under warranty.
• Perform other duties as directed by the Head of Information Technology or such people as the School may designate

Qualifications:

The eligible candidate must have:

• Bachelor’s degree in information technology, Computer Science, Data Analytics, or a related field (preferred).
• Good knowledge in the System Development Life Cycle (SDLC) and methodologies such as Agile and Waterfall in software development and project management.
• Past experience or exposure to applications and platforms, including school management solutions (e.g., PowerSchool, iSAMS, Firefly) and Microsoft Dynamics and Talend Data Integration Platform.
• Experience with data analysis tools (e.g., Excel, Google Sheets) and potentially programming languages (e.g., Python, R) for more advanced data manipulation.
• Experience in integrating different platforms such as PowerShell, Phyton, .NET, Java, SQL Server Integration Services, and Reporting Services in an International school environment will be preferred.

Astek has an opening of a Data Management Analyst role.

• Conduct data analysis to identify inconsistencies, trends, and areas for data improvement in a financial services environment.
• Lead and manage data reconciliation and quality checks, ensuring the integrity of financial data by implementing, monitoring, and troubleshooting data processes.
• Handle data issue management, ensuring timely resolution and minimizing the impact on business operations.
• Utilize Oracle PL/SQL to manage, query, and analyze large datasets related to financial data.
• Perform User Acceptance Testing (UAT) for financial data-related applications, ensuring that the system is functioning as required and meeting the specified business needs.
• Monitor and manage Service Level Agreements (SLA), responding to queries from internal stakeholders and end-users in a timely manner.
• Provide comprehensive documentation support for both technical and functional specifications, including data models, data mappings, and process flows.
• Leverage investment data domain knowledge to ensure proper data management practices are followed in line with industry standards.
• Apply strong problem-solving and logical thinking to resolve data challenges and drive continuous improvement in data management processes.

Qualifications and Requirements:

• CAT-1 cleared/eligible candidate is required for this role (Only Singapore Citizen allowed)
• Bachelor's degree in Computer Science, Information Technology, Finance, or a related field.
• Minimum 4 years of relavant experience
• Proven experience in data management in financial services firm is a must.
• Experience in data reconciliation, data quality checks, and issue management specific to financial data.
• Proficiency in Oracle PL/SQL for querying, reporting, and managing financial datasets.
• Extensive experience with UAT processes for financial applications and data systems.
• Solid understanding of investment data domain knowledge, including financial instruments, transactions, and reporting practices.
• Strong ability to manage SLAs and respond to inquiries from stakeholders and users in a timely and professional manner.
• Excellent problem-solving abilities, with an emphasis on logical thinking and attention to detail.
• Strong written and verbal communication skills for clear documentation and reporting.

• To support customer in maintaining their existing AliCloud solutions in accordance with best practices.
• To fix issues in customers existing AliCloud solutions.
• To communicate with Alibaba Cloud for advice on technical issues.
• To communicate and align with offshore AliCloud Data Engineer on task assigned to FPT team.
• Bachelor degree or above in IT and engineering, with relevant professional certificates.
• AliCloud related certification is a MUST.
• At least 1 other cloud (non AliCloud) certification will be preferred. More cloud certifications will be a big PLUS.

Requirements

• 3 to 5 years of working experience in IT industry.
• Hands-on experience in at least 1 AliCloud related project is a MUST. More AliCloud projects will be a PLUS.
• Hands-on experience in other cloud (i.e. non-AliCloud) related projects will be a PLUS.

Wipro Limited is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful.

A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 220,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future.

Network Data Administrator

Responsibility & Requirement

• Managing end to end administration of all Network platforms (Cisco Router & switches, Cisco Wireless infra along with Infoblox DDI).
• Ability to configure and debug and do basic level trouble shooting in technology areas like routers, switches, WIFI.
• Exposure to troubleshooting of routing protocols (RIP, EIGRP, OSPF, BGP).
• Experience on switching (VLAN, VTP, RPVST, Stacking).
• Experience in Cisco Catalyst 9K, 3550, 3650 and Nexus 7K & 9K, Cisco ISR/ASR routers.
• WAN Router configuration and Troubleshooting.
• Knowledge on Riverbed WAN optimizer.
• Network infrastructure management & configuration.
• Experience to handle Cisco wireless Infra, Cisco Prime and WAP devices.
• Strong knowledge on Infoblox DNS, DHCP.
• Able to take handover from project team as required.
• Regular audit of network devices and take corrective action accordingly.
• Performance Management & Optimization.
• Root Cause Analysis.
• Provide inputs for Capacity Planning/ Migration/ Optimization / Future upgrade strategy based on the performance trend.
• Preparation of Daily/Weekly/Monthly reports.
• Coordination with multiple vendors.
• Handling escalated incidents or high critical tickets.
• Plan and schedule for change management.
• Develop and maintain architecture diagrams and documents.
• Prepare SoPs and SMTD
• Good Communication skills.

Required Skills:

• LAN Switching, Cisco Nexus Switches, Routing protocols, Cisco wireless setup
• Minimum experience of 6 years in related field.
• Minimum Degree in related field.

Technical skills

Hands-on experience required on the following technologies:

• Routing protocols - EIGRP, OSPF, BGP, PBR.
• LAN Switching - VLAN, VTP, STP, HSRP, GLBP, Cisco Nexus Switches (5k, 7k, 9k) - VDC, VPC, OTV, FEX.
• Cisco Wireless setup.
• Infoblox DDI.
• TCP/IP protocol suite, Quality of Service.
• Riverbed WAN optimizer.
• Knowledge on IPSec VPN, AAA Architecture, TACACS+ and RADIUS will be preferred.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Responsibilities:

Shall provide Data Centre (DC) operations at the Customer’s premises and premises identified by the Customer. The DC Operations shall cover the following:

1.DC Environment Support; and

2.DC Facilities Management Services.

DC Environment Support

Shall monitor the facilities infrastructure in the DC to ensure that they are within the operating levels defined by the Customers. The infrastructure to be monitored shall minimally include:

(a)Power infrastructure (such as Uninterrupted Power Supply and power distribution boards);

(b)Cooling Infrastructure (such as computer room air-conditioning units);

(c)Fire detection and suppression systems (such as FM200, water sprinklers, fire extinguishers);

(d)Environment monitoring system (such as humidity and temperature); and

(e)Water leakage detection.

(f)Shall ensure the DC infrastructure is monitored on twenty-four (24) hours a day, seven (7) days a week, inclusive of Saturdays, Sundays and Public Holidays.

(g)The Vendor shall inform the Customer within one (1) hour when problems are detected.

(h)Shall work with the Customer and Customer-appointed Supplier to resolve any infrastructure issues detected in accordance to the support hours as required by the Customer.

DC Facilities Management Services

(a)Shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier.

(b)Shall work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.

(c)Shall ensure the network cabling in the data centre and within the racks are neat and tidy.

(d)Shall work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.

(e)Shall plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.

(f)Shall obtain the Customer’s approval before finalizing the plan for any activity.

(g)Shall provide on-site support during the maintenance activities unless otherwise agreed by the Customer.

(h)Shall maintain up-to-date documentation of the data centre design layouts.

(i)Shall manage the physical security of the data centre in accordance with the guidelines provided by the Customer.

(j)Shall monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer:

Security Alarm and Security Card Access System; and

Closed-Circuit Television (CCTV).

(k)Shall ensure that only authorised personnel are allowed to access the DCs.

Requirement – DC Operations

Minimum Requirement:

The DC Operator shall possess minimally the following skill sets:

(a)Three (3) years of working experience in Data Centre Engineer Operations experience;

(b)Certified Data Centre Facilities Operations Manager (CDFOM) or equivalent; and

(c)ITIL v4 Foundation Certification or equivalent

Role Purpose

The Program Manager will spearhead key Data Quality initiatives, including customer-facing reports and training programs, ensuring seamless management from concept to execution. This role is pivotal in delivering actionable insights through high-quality reporting and driving knowledge sharing across teams via tailored training initiatives. By working closely with internal stakeholders and customers, the Program Manager will ensure that all deliverables align with Data Quality strategic goals, and contribute to long-term organizational success.

Roles & Responsibilities

• Drive sessions with senior stakeholders from diverse business teams and geographical locations to understand and break down business problems, bringing an understanding of technology, analytics methods, and operating model approaches.
• Shape vision of the final program, decompose its roadmap into manageable project/stages, write a program proposal to secure stakeholders endorsement, project funding, and resources. Responsible for program budget.
• Drive change management activities along with steering committees and Data Quality Council to achieve excellent use of data to drive decision-making and resolution of key issues.
• Lead end-to-end project management: Oversee projects from requirements definition through deployment, including developing schedules, defining scopes, estimating budgets, and creating implementation plans with risk mitigation strategies.
• Manage communications from multiple project managers to make program status visible to all stakeholders.
• Drive continuous improvements in fundamental product features to achieve excellent use of data, including user community engagement and feedback loop.
• Develop and maintain strong relationships with external resources, including third-party vendors and researchers, to enhance project outcomes.
• Engage with the Data Quality Council and the Country Cross-Functional Data Quality teams to secure sponsorship, gain buy-in, seek guidance, and foster collaboration.
• Convince others to accept new concepts, practices, and approaches.
• Understand customers' and key stakeholders' interests and concerns.
• Provide knowledge transfers, and technical guidance to RO/CO cross-functional teams

Requirements

• Bachelor’s Degree, and Master’s Degree in Supply Chain / Logistics / Business Administration, preferred.
• Education and/or certification in LEAN/First Choice Bronze, Six Sigma, preferred.
• 5-10 years of experience in Industrial Engineering/Solutions Design/Consulting.
• 5+ years of progressive experience in at least one of the following: Project management and implementation, operations management, or organization design and implementation, required.
• Experience in regional or global roles preferred.

Job Description:

• Participate in the development and construction of the data platform.
• Implement and maintain data collection, processing, and analysis processes to ensure data accuracy and completeness.
• Collaborate with other departments and teams to ensure integration and coordination with other key systems.
• Conduct technical research and tackle technical challenges to ensure system availability, stability, and scalability.

Job Requirements:

• Familiar with the big data product ecosystem, including but not limited to Flink, Spark, Hive, Kafka, Doris, etc., with extensive practical experience in architecture design and performance optimization.
• Solid foundation in Java programming, understanding of I/O, multithreading, collections, and basic frameworks, with some knowledge of JVM principles.
• Proficient in using development framework technologies such as Spring Cloud and Spring Boot.
• Good logical thinking and quick problem-solving abilities, able to quickly identify problems and propose feasible solutions in complex product technical and application scenarios.
• Strong sense of responsibility, keen interest in big data-related technologies, and strong continuous learning and self-motivation abilities.
• Proficient in English and Mandarin to effectively communicate with colleagues in different regions and shareholders.

Job Description/Responsibility:

1. Provide CAD support for Land & Hydrographic Survey projects.

2. Prepare and set up processing plan for assigned projects and carry

out processing for assigned projects.

3. Determine Processing/Drafting requirements together with Survey

Manager.

4. Organize, maintain and safekeeping survey data and AutoCad

drawings.

5. Responsible for correct processing of survey data and correct

technical data submitted for the report.

6. Maintaining clear and organized design documentation and

records.

7. Creates and modifies drawings for all projects according to the

effective procedures and standards.

8. Working rights required for this role.

9. Singaporean/SPR preferred.

Job Requirement:

1. Process data (CAD).

2. Good knowledge of AutoCad and possesses technical proficiency.

3. Conversant with Data Processing Software.

4. Attention to detail and time management enables efficient data

process for timely project delivery.

5. Good command of English language.

Responsibilities;
Write production code and develop applications/interfaces for Trading
Analytics.
• Co-design the architecture for Data Platform and Data Analytics, including the development of Data Lake/Warehouse, optimization of data ows, and highly automated data cleansing.
• Test and deploy algorithms, develop applications, and interfaces for various use cases in Markets area.
• Ensure that applications are properly documented, and that the implementation is in line with internal architecture guidelines and principles.
• Provide support regarding Data Analytics platform and software.
• Automate, monitor, and improve performance of quantitative models.
• Interact with stakeholders and external vendors to optimize data and software infrastructure.
• Assist Product owner with technical questions, creating reports and
implementation roadmaps, technology assessment and decisions.
• Work and collaborate with stakeholders in an Agile-based approach.

Qualications & Skills;
• Bachelor Degree in Information Technology, Computer Science,
Engineering.
• 7+ years of work experience as a Developer/Software Architect. Experience in implementing nancial software is a plus.
• Advanced knowledge of architectural design of real time Data Analytics solutions including Data Architecture, Databases, Data Lakes, Data ows, and Data transformations.

Advanced coding skills in programming languages such as Python, Scala, and Java. Previous knowledge of C++, C#, and/or Haskell would be a plus.

• Expert knowledge of Cloud Computing regarding one of Azure, Google Cloud, or AWS.

• Knowledge of Spark, Databricks, and Kafka.

• Previous knowledge of Oracle, MS-SQL, MongoDB is a plus.

• Experience with Jira, Jenkins, Git, Docker, Kubernetes, and Dash (or similar) is a plus.

• Knowledge of object-relational mapping and object-oriented databases.

• Experience with real-time analytics, OneTick and/or KDB+ is a plus.

• Knowledge of VBA, R, Matlab, Tableau, and PowerBI is a plus.

• Knowledge of Big Data, Machine Learning, and Quantitative Finance is a plus.

• Collaborative, team player, open minded, and easy to work with.
• Procient presentation skills and high attention to detail.
• Able to explain technical results to nontechnical audiences.

greehill is looking for professional with good GIS and spatial orientation skills to process and quality control field date (photogrammetry and Lidar) to join our Singaporean team.

Who we are

As the global pioneer in nature-based smart-city solutions, we help cities around the world to become more sustainable and more resilient against climate change. We are leading in applying smart city technologies such as the latest remote sensing and machine learning to green urban assets. With our cloud-based platform cities improve the well-being of their citizens through a greener, healthier, safer and more resilient urban environment while reducing operational costs. We currently operate offices in Budapest, Berlin, Singapore, San Francisco and Paris.

Your contribution will be

• Verify the quality of acquired field data
• Process Mobile Laser Scanning trajectories and Terrestrial Laser Scanning data
• Align and adjust different measurements
• Ensure quality control of post-processed data
• Solve GIS related tasks of processing
• Manage camera adjustment
• Provide data export and data management

We need you to have

• Advanced computer skills (PC, Windows OS) with at least 5 years of experience
• GIS experience
• Good spatial (3D) orientation ability
• Ability and interest to quickly understand and apply new data processing pipeline
• Fluent English communication
• Strong team spirit

We give preference to

• Lidar data post-processing knowledge
• Experience with laser scanning, field data capture and data processing
• Knowledge of RIEGL processing software (RiscanPro, RiProcess)
• Knowledge of photogrammetry, camera calibration
• GNSS knowledge about RTK quality, raw GNSS data post-processing
• Interest in state-of-the-art technologies

As part of our recruiting process, we would like to request all interested applicants to apply directly through TD's Careers Site at:

https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Senior-Manager--Data-Scientist_R_1374555-1

Job Description:

Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

KEY ACCOUNTABILITIES

• Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
• Work closely with business owners to identify opportunities and serve as an ambassador for data science
• Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
• Design and deliver enterprise analytic solutions to our customers
• Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
• Build complex statistical models that learn from and scale to petabytes of data.
• Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
• Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
• Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
• Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
• Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
• Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
• Be comfortable working through ambiguity and help make informed decisions
• Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
• Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
• Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
• Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
• Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)
• Deliver advanced analytical capabilities above and beyond existing methods
• Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
• Showcase advance level peer leadership, impact and influence partner, and may mentor / coach peers
• Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques
• Act as a key business partner, guide and collaborate with business leaders to prioritize and identify key business needs and provide impactful analytical insights

EXPERIENCE & EDUCATION

• Undergraduate degree or technical certificate
• 12+ years relevant experience
• 3+ years managing a team supporting advanced machine learning
• Advanced coding skills (python, pyspark preferred)

• Support the transition of data migration activities from other vendors and ensure alignment with the overall migration strategy.
• Refine data migration requirements, update migration strategy, and coordinate with stakeholders to ensure all aspects of the migration are covered.
• Assess data quality issues, collaborate with business users to prioritize data quality analysis and address any concerns.
• Build and manage test cases, scenarios, test scripts, and define entry/exit criteria for successful data migration.
• Define and establish key performance indicators (KPIs) and dashboards to monitor the execution of the data migration process.
• Work closely with the Data Migration Lead to ensure adherence to timelines and project milestones while supporting the overall data migration strategy.
• IT Service Management (ITSM) experience, covering all phases of ITSM (e.g., ITIL).
• Business Analyst experience, including documentation and project management.
• Solid knowledge of ITIL or other ITSM frameworks.
• Working experience in banking/ financial service
• Experience in financial industry and/ or IT Service Management (ITSM) is a plus.
• Proficient in Microsoft Office (PowerPoint, Excel, Word) for documentation and reporting