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

Job Description:

As an Application Support Engineer, you will act as a software detective, identifying and resolving issues in critical business systems. You will work independently and collaboratively to provide innovative solutions, becoming a subject matter expert (SME) in the process. This role involves troubleshooting, engineering support, and improving application support processes, with a focus on ETL tools, data pipelines, and database management.

Key Responsibilities:

· Identify and resolve issues within critical business systems.

· Develop and improve application support processes and strategies.

· Collaborate with cross-functional teams to troubleshoot and resolve complex technical issues.

· Conduct system audits to optimize performance and identify areas for improvement.

· Provide technical guidance and support to end-users.

· Profile, cleanse, and classify data.

· Design and develop data pipelines that ingest data from various sources.

Requirements:

· Hands-on experience with RDBMS such as Oracle, DB2, MS SQL, or PostgreSQL.

· Knowledge of database design and data modelling (logical and physical).

· Experience with ETL tools like SAS DI, Informatica, or Talend.

· Familiarity with data streaming technologies such as Kafka or Spark is an advantage.

· Experience with data visualization tools like Qlik, Tableau, or Power BI is a plus.

· Self-motivated and eager to learn, with a willingness to share knowledge.

Preferred Skills:

· Basic proficiency in Application Remediation, Data Replication & Synchronization, and IT Troubleshooting.

· Intermediate proficiency in ETL tools.

Job Description & Requirements

We are seeking a highly skilled Market Data Analyst Presales Engineer to join our dynamic team. In this role, you will play a pivotal role in driving sales by leveraging your deep understanding of market data and technical expertise. You will collaborate closely with the sales team to identify and qualify opportunities, conduct in-depth technical assessments, and deliver compelling product demonstrations.

Technical Expertise:

Develop a strong understanding of our products and services (Cryptocurrency, Investments, etc), including their technical specifications, capabilities, and benefits.

Stay up-to-date with industry trends, emerging technologies, and competitive landscapes.

Conduct in-depth technical assessments of client requirements and propose tailored solutions.

Contribute to the development of the investment strategy, focusing on emerging trends in Fintech and infrastructure.

Identify new areas for investment within the fintech space, particularly in Payment solutions and decentralized technologies.

Presales Support:

Collaborate with the sales team to identify potential opportunities and qualify leads.

Develop and deliver compelling product demonstrations, presentations, and technical proposals.

Address technical questions and concerns from prospective clients, providing clear and concise explanations.

Conduct proof-of-concept (POC) implementations and data analysis to showcase the value of our solutions.

Data Analysis and Insights:

Analyze market data to identify trends, opportunities, and potential challenges.

Leverage data analysis techniques to support sales efforts and provide valuable insights to clients.

Develop custom data analysis solutions to address specific client needs.

Required Skills:

Data Analysis, Market research, Presales

domain Skills:

Cryptocurrency, Investments, etc.

Portfolio management experience is preferred.

JOB DESCRIPTION

This role encompasses two primary responsibilities, the first involves data science activities and the second focus on full-stack development.

Data Science Responsibilities:

• Collect, clean, and preprocess large datasets
• Develop and deploy machine learning models to address challenges related to Keppel energy systems, including predictive modeling, classification, and clustering
• Apply statistical analysis to derive actionable insights and support data-driven decision-making
• Perform data visualization to effectively communicate findings to both technical and non-technical stakeholders
• Collaborate with data science and engineering teams to identify opportunities for leveraging data in product development and operations

Full Stack Development Responsibilities:

• Design, develop, and maintain scalable web applications, ensuring seamless integration with data pipelines and models
• Build APIs and microservices to serve machine learning models and integrate with front-end interfaces
• Implement responsive front-end interfaces using modern frameworks (e.g., React) to display data insights and support interactive user experiences
• Optimize back-end services for efficiency and scalability, ensuring secure data access and real-time performance
• Troubleshoot and debug issues across the full stack (front-end, back-end, and database layers)

Such other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

JOB REQUIREMENTS

• Bachelor's degree in computer science, software engineering or related field
• Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
• Strong understanding of back-end frameworks and technologies (e.g., Node.js, Django, Flask, Express).
• Proficiency in programming languages such as Python for data science applications.
• Proficiency in front-end technologies
• Hands-on experience with databases and cloud-based data storage solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
  

JOB SUMMARY

• The Financial crime end to end Programme aims to evaluate FC processes E2E to improve client experience, enhance control effectiveness and deliver cost transparency. The Financial Crime Data Analytics Specialist is a pivotal role focused on driving data-driven insights across the entire financial crime lifecycle pan bank (CIB and WRB), to produce comprehensive process and cross functional data driven insights.
• This role requires a strategic thinker with the ability to assess financial crime processes, analyze costs, and uncover opportunities to optimize operations and reduce inefficiencies while maintaining regulatory compliance.
• As a subject matter expert in financial crime analytics, you will collect, analyze, and interpret data from diverse functions—including KYC, EDD, transaction monitoring, names screening, transactional screening, case management, RFI, SARs filing etc. You will provide actionable insights, develop interactive dashboards, and identify trends to support performance improvement and cost reduction initiatives.

RESPONSIBILITIES

1. Comprehensive Financial Crime Process Analytics

• Conduct detailed analyses of financial crime workflow
• Collect data from e2e processes across functions to uncover insights that are not typically covered within function’s analytics including identify inefficiencies, bottlenecks, and redundancies across teams and systems.
• Assess how financial crime processes interact, ensuring that dependencies between functions (e.g., alert triaging and case escalation) are optimized.

2. Financial Crime Cost and Resource Analysis

• Analyze financial crime cost structures, focusing on operational, technology, and resource-related expenses.
• Identify cost drivers and inefficiencies, providing recommendations for cost optimization without compromising compliance or effectiveness.
• Monitor and report on the financial impact of operational changes, including automation and resource allocation adjustments.

3. Data Integration and Management

• Aggregate data from multiple systems and functions, ensuring consistency, accuracy, and completeness.
• Integrate external data sources such as sanctions lists, adverse media feeds, and various detection systems to enrich analytics.
• Ensure adherence to data governance and regulatory requirements, establishing trusted datasets for comprehensive analysis.

4. Advanced Analytics and Insight Generation

• Use statistical and predictive analytics to identify trends, anomalies, and emerging risks in financial crime processes.
• Develop models to analyze false positive rates, throughput times, and alert-to-case conversion rates, identifying areas for improvement.
• Provide actionable insights to enhance the effectiveness and efficiency of risk detection and mitigation processes.

5. Reporting, Visualization, and Performance Monitoring

• Design interactive dashboards and detailed reports tailored to the needs of compliance, risk, and senior leadership teams.
• Create visualizations that clearly communicate key metrics and highlight areas of risk, inefficiency, and opportunity.
• Establish metrics and KPIs to continuously monitor the performance of financial crime functions and their integration points.

6. Driving Process Improvements

• Collaborate with process owners to implement data-driven recommendations for improving workflows, reducing manual effort, and streamlining operations.
• Support the adoption of advanced technologies such as automation, machine learning, and AI to enhance detection capabilities and reduce operational burdens.
• Conduct root cause analyses to address recurring inefficiencies, ensuring sustainable improvements across functions.

7. Stakeholder Engagement and Collaboration

• Partner with Compliance, Risk, Operations, and Technology teams to ensure alignment on analytics initiatives and regulatory expectations.
• Act as a bridge between financial crime functions, fostering collaboration and holistic problem-solving.
• Support audit and regulatory requests by providing comprehensive data analysis and insights into financial crime operations.

8. Continuous Learning and Adaptation

• Stay informed about regulatory changes, industry best practices, and emerging financial crime typologies.
• Incorporate evolving risks and trends into analytics models and reporting frameworks.
• Evaluate and refine analytics tools, methodologies, and processes to adapt to the dynamic financial crime landscape.

Key Deliverables

• Development of end-to-end financial crime performance metrics.
• Analytical models to assess costs, resource utilization, and process effectiveness.
• Interactive dashboards providing transparency for FC E2E processes
• Data-driven recommendations for process improvements and cost reduction initiatives.
• Reports for senior management highlighting opportunities for optimization and progress on key initiatives.

Strategy

• Provide input to the vision of bank’s Financial Crime processes to future proof the bank.
• Continuously develop knowledge of business processes and understanding of industry best practice.

Business

• Partner with stakeholders across the organisation (WRB, CIB, FCSO, FCC CIO, Data)

Processes

• Understand WRB and CIB processes related to Financial Crime business strategy and align process improvements and metrics to these priorities

People & Talent

• Support a change mindset, building a culture of client centricity, improvement habit, agility, and accountability through standardised metrics and measurement, with the expectation that everyone in Operations are drivers and owners of client outcomes.
• Continually strive to share key relevant knowledge and learnings with the others across the team.
• Lead through example and build the appropriate culture and values, embedding a high level of team engagement.
• Ensure ongoing training and development for professional and personal self-growth.

Risk Management

• Manage changes and reporting in line with all relevant risk management frameworks, where applicable

Governance

• Develop awareness and understanding of the regulatory framework in which the Group operates and the regulatory requirements and expectations relevant to the role.
• Support effective governance in compliance with applicable internal policies and external laws and regulations, overseeing changes in business controls as required.

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Lead to achieve the outcomes set out in the Bank’s Conduct Principles
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• FC E2E Programme Director
• FC E2E Accountable Executives (WRB & CIB)
• FCSO & FCC MT
• Head of KYC/ Onboarding and key Subject Matter Experts in CIB and WRB
• Head of Compliance and key Subject Matter Experts
• Head of Data/ Chief Data Office
• T&O Programme Management
• Programme Directors, Hives, Architects and Product Owners of Satellite Programs contributing to the delivery of the FCE2E transformation.

Other Responsibilities

• Analytical - Excellent analytical skills, including ability to use business intelligence tools, and sort through complex data to articulate business trends and implications.
• Discipline - Excellent time-management skills and ability to handle multiple tasks simultaneously. Highly process and policy oriented.
• Attitude - Goal-oriented, positive and proactive. Comfortable in a fast-paced, results-oriented work environment. Ability to communicate effectively with senior leaders.

Our Ideal Candidate

• 5+ years in data analytics within the financial services industry or within Banking industry.
• Work experience especially in Financial Crime related roles is a requirement.
• Strong understanding of Financial Crime related processes, technology, rules and regulations are requirements,
• Bachelor’s or Master’s degree in Data Analytics, Business Analytics, Statistics, Computer Science, Finance, or a related field.
• Advanced expertise in analytics tools (e.g., SQL, Python, R) and business intelligence platforms (e.g., Tableau, Power BI).
• Experience in data integration, process mining, and workflow analysis tools.
• Strong understanding of data governance, quality assurance, and management best practices.
• Comprehensive knowledge of financial crime processes
• Understanding of financial crime typologies, emerging risks, and advanced detection techniques using AI/ML.
• Exceptional analytical skills, with the ability to uncover insights from complex datasets and translate them into actionable recommendations.
• Strong problem-solving skills, focused on practical and sustainable improvements.
• Ability to articulate technical findings to diverse stakeholders, including non-technical audiences.

Role Specific Technical Competencies

• Data Science
• Statistics
• Written and oral presentation skills
• Data Science & Programming (Python & R)
• Business intelligence platforms (e.g., Tableau, Power BI).
• Financial Crime knowledge

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Your main responsibilities will include:

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

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

Allied Container Group is a leading container haulage operator and yard operator founded in Singapore in 1975. We are dedicated in using technology to improve the lives of small businesses and consumers in the logistics sector.

As part of the team, we are looking for Data Entry Clerk

Job Highlights

• We offer attractive salary commensurate with work experience
• Great opportunities for learning & career advancement
• Medical, dental & insurance benefits

Job Responsibilities

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

JOB REQUIREMENTS

• GCE 'O' level qualification and above
• 1 to 2 years of working experience
• Able to work independently
• Meticulous and have a keen eye for details with an inquiring mind

Interested Applicants, pls WhatsApp us at 8082 6811 for instant interview

Our client, a well-known company is looking for candidates for the position of Demand and Supply Specialist.

SUMMARY

• Function as Demand & Supply Specialist to manage monthly operations, mid-long term sales forecasting for Indonesia
• Work closely with counterparts such as Pricing colleagues, cross functional team and Distributor to maximize sales with appropriate production in Indonesia

RESPONSIBILITIES

• Create monthly Demand & Supply plan and negotiate with Distributor
• Explain Demand & Supply thinking way to cross function team so as to secure production allocation for future months
• Good overview of market, promotion activities and competitor situation to explain to internal stakeholders
• Visualize and summarize distributors requests for fleet / ad-hoc orders to ensure production supply
• Visit distributor and dealers regularly to gather feedback from frontline and improve forecast accuracy
• Monitor sales achievement daily/monthly and discuss countermeasure with Distributor or Function team to bridge the gap.

REQUIREMENTS

• Basic knowledge of demand & supply concept or working experience preferred in Automotive/Logistics
• Individuals with 1-2 years of relevant experience are preferred
• Proficient in MS Office (Excel/Powerpoint) to run analysis & visualization, reporting purposes etc.
• Flair for numbers, strong analytical skills with an eye for details
• Excellent communication skills and a team player
• Well organized with good time management abilities to meet deadlines and schedules
• Determined and takes strong ownership in task
• Able to travel overseas as and when required by business
• Open to work overtime when required

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

We regret that only shortlisted candidates will be notified.
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.

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 10 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Grafana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Work closely with product vendors to design, deploy and integrate different data platforms with the organization's ecosystem.
• Ensure that the deployed platforms follow the IT security and compliance policies.
• Establish processes and develop monitoring mechanisms to detect the availability of the platforms.
• Act as the solution architect and develop the end-to-end onboarding of projects onto the data platforms deployed in the organization for different BI needs such as data ingestion, visualization, data governance.
• Perform testing on the deployed data platforms

• Bachelor's Degree in Computer Science or equivalent.
• At least 5 years' experience of working as a platform support engineer or a software engineer or a data engineer.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Strong hands-on experience and working knowledge of application implementation to implement new platforms.
• Familiar with application integration using RDBMS.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment, and familiar with Shell scripts and command line tools.
• Knowledge of data integration and data visualization platforms such as Informatica, Tableau, and Power BI.
• Exposure and knowledge in the following technologies will be advantageous:
  • Java, Python
  • Snowflake, Oracle, MS SQL, Denodo
  • AWS services
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.
• Good team player, with strong analytical skill and enjoy complex problem solving with innovative ideas.
• Good communication/people skills and able to interact with data analysts, business end-users and vendors to design and develop solutions.
• Good at working with details and is meticulous for operations.

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.

• 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.

Admin cum data entry

Invoicing – data entry, printing, scanning and filing,reply E-mail

Liaise with Traffic Controllers to ensure Works Orders are processed accurately and submit for billing promptly

Maintain proper filing system (invoices/documents) for audit purposes

Handle any other duties assigned by the Supervisor & Manager from time to time

Requirement:

Minimum ‘N’ level or equivalent

Knowledge of Accounting & Finance will be an added advantage

Proficient in Excel

Can work overtime when required

Positive attitude and customer-oriented

Working hours:

Mondays to Fridays: 8.30am to 5.30pm

O/T allowance will be given

Company transport provided. Reimbursement of Taxi fare for O/T.

Cindy Teng (EA Reg No: R2090544)

Active Manpower Resources Pte Ltd (EA Lic No: 06C3757

• 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

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)

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

Job Summary

We are looking for Data Engineer who will be playing a key role in creating, building and maintaining our client’s data infrastructure.

Mandatory Skill-set

• Degree in Computer Science or related discipline;
• Minimum 2-3 years of experience in Data Analysis and experience of Project management;
• Knowledge of making frameworks and power point presentations;
• Good hands-on experience in Python/ Spark and SQL to code complex data engineering use cases;
• At least 2 years of experience in Data Management and data governance;
• Able to collect, parse, manage, analyse and visualise large sets of data to turn information into insights accessible through multiple platforms and works more with structured data;
• Basic project management knowledge, Team presentation skill & Business analytical skill;
• Excellent interpersonal, and communication skills with the ability to coordinate / work with multiple teams;
• Motivated, driven, logical, and possess excellent time management skills;
• Has strong analytical and problem-solving skills with attention to detail.

Desired Skill-set

• Experience in financial industry;
• Familiarity with Agile development methodologies.

Responsibilities

• Create, build, and maintain the data infrastructure required for Extraction, Transformation and Loading of data from a wide variety of sources.
• Ensure high-quality data is delivered to support Compliance model development.
• Support the implementation of Data Analytics / Automation for Compliance teams and Business stakeholders.
• Liaise with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for Compliance Data models.
• Liaise with Business stakeholders / analysts and ensure assembled data assets used for model development meet business requirements.
• Build & maintain data dictionaries / data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives.
• Monitor the execution & performance of data models and liaise with IT for any technical / system outages.
• Keep track of datasets / tables in the working schema and support purging of unused tables periodically.
• Perform data analysis required to troubleshoot data related issues and support the resolution of raised data issues.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

• 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

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Analyst

Internal Code: A24122

This is a contract role - the engagement is from January 2025 to July 2025

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

• Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.
• Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Job Responsiblities:

- Develop and implement advance statiscal and machine learning models to solve complex problems.

- Lead the data-driven decison- making process, from date collection and analysis to implementation and monitoring of solutions.

- Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.

- Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.

Job Requirement :

Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable

At least 10 years of relevant working experience in data projects or data science or analytics.

Proficient in Python, R, SQL, and other programming languages and tools for data analysis and manipulation.

Experience in developing and deploying data products and applications using cloud platforms, such as AWS, Azure, or Google Cloud.

Our client is actively searching for a Data Analyst/ Senior Data Analyst to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

You will be a member of the Department of Infectious Diseases, where you will provide support in the areas of data collection, management and analysis. Your main responsibility will be in supporting the ICU Multidisciplinary Infectious Diseases (IMI) service, Haematology-Infectious Diseases clinical service and other related services, where you will be responsible for collecting, organizing and analyzing relevant data.

It will involve the administration of current data management systems, as well as planning and developing new databases, as and when required. You should have the skills and ability to manage electronic information in multiple formats, and to process and analyze this data for reporting and presentation. Your work requires proficiency with databases, analytical and reporting tools, an ability to learn quantitative tools/software and methodologies, and use of presentation software and good communication skills. You will have the opportunity to be a part of multidisciplinary teams for a different range of projects including research, quality improvement and education. In addition, prior experience in healthcare settings is preferable.

The responsibilities of this role are:

• Manage existing databases, including extracting, cleaning, processing and analyzing data for routine and ad-hoc reports, and trouble-shooting of existing data systems
• Develop new and ad-hoc databases for clinical audits, surveillance programmes and research projects
• Develop a methodology and system for managing and extracting complex data from various databases or sources, which will require proficiency in logical data models and developing data dictionaries
• Produce documentation of new or existing systems and data-management support documents like standards, best practices, policies and procedures etc
• Conduct presentations describing data structures, data analysis methods, and results of data analysis
• Preparation of quarterly to annual reports related to IMI service or other related services
• Support other related research activities as directed by Head of IMI service
• Be a member of multidisciplinary teams which may involve ICU physicians or other specialty physicians, ID physicians, microbiologists, pharmacists
• Perform general administrative duties as required
• Participate actively as a team member in quality improvement projects at hospital-wide and departmental levels
• Work beyond routine work responsibilities, in the exigencies of services e.g. during infectious disease outbreaks
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department
• Applicants must have high integrity, a strong commitment to maintaining patient data confidentiality, be eager to learn and be proactive in contributing to the team

The ideal candidate will need to have the following qualities and experience:

• Minimum Bachelor's degree in Computer Engineering, Software Engineering or equivalent with at least two (2) years of experience.
• Proficient in programming languages such as Python (e.g., Flask, Django), R (e.g., Shiny), SQL.
• Experience in managing AI/ML products is highly desirable.
• Experience in SharePoint, Excel (Visual Basic), HTML, XML, Java preferred.
• Knowledge in Data anonymization, de-identification and re-identification process and techniques is preferred.
• Possess skills in statistical modeling and machine learning with experience in data storage, processing, analytics and distribution software and platforms.
• Strong communication/people skills required to interact with data scientists, engineers, business end-users and vendors to design and develop solutions.
• Ability to write clear documentation of procedures, and ability to write specifications for data models to be developed.
• Participate actively as a team member in organizational development and quality improvement.
• Be a change agent and inculcate mindset for change for hospital-wide and departmental- level.
• Able to work beyond routine work responsibilities and office hours, in the exigencies of services e.g., during infectious disease outbreaks.

CTES Consulting PTE LTD

EA License No.: 07C3481

EA Personnel Registration No.: R1104237 (Jaclyn Tan)

An exciting career awaits the right candidate! Click "Quick Apply" to register your interest now.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• 7+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
• Proficiency in SQL and Python
• Strong statistical knowledge
• Expertise in visualization and using data insights to make recommendations and achieve goals
• Proven ability to manage and deliver on multiple projects with great attention to detail
• Ability to clearly communicate results and drive impact
• Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.

Preferred qualifications

• Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
• Prior experience at a growth stage internet or software company.
• Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
• Good understanding of development processes and best practices like engineering standards, code reviews, and testing.

Hybrid work at Stripe
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

• Design and build the DWH database models (star schema).
• Ensure data quality, security and compliance with industry standards and internal guidelines.
• Work with business counterparts as well as IT Business Consulting, Infrastructure teams and external vedors on new data requirements.
• Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

What you'll need

· Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

· Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Power BI and Tableau.

· Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

· Customer-oriented with good communication and interpersonal skills.