About Us:

Maximus Organisation is a leading player in the sales and marketing industry, specializing in face-to-face channels to market products for multinational clients.

Responsibilities:

* Engage with customers in face-to-face interactions to promote our clients' products

* Learn and implement effective sales techniques and strategies

* Collaborate with team members to achieve collective goals

Good to have:

* Good Interpersonal skills

* Must be team-oriented and willing to work in a fast-paced environment

* Positive learning attitude

Benefits:

* Specialised 1-to-1 coaching

* Opportunities for career advancement based on performance

* Travel opportunities and fun team-building activities

Join us in shaping the future of sales and marketing. Apply now and become part of our success story!

Contact 82686420 via WhatsApp for a faster response!!

Detailed JD (Roles and Responsibilities)

• Data Collection and Analysis: Collect, analyse, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
• Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users’ requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
• Enhancements: Identify opportunities for process improvement and operational efficiency

Research and Learning: Deeply understand client’s relevant business activities, commercial interests and related processes, and continuously expand your knowledge and skills in data analytics techniques and tools

Mandatory skills

• BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
• 2-4 years of financial/business/data analyst experience
• Knowledge of accounting principles, financial statements, and financial modelling
• Understanding of Data Design Pattern differences between transactional ERP systems (SAP) and analytical data warehouses (BigQuery, Snowflake)
• Knowledge of SQL and working with large datasets
• Experience with data analytics tools and languages (R, Python…)
• Experience building interactive data visualizations, strong storytelling skills (Tableau, Streamlit, Shiny…)

Desired/ Secondary skills

• Experience building/applying statistical and/or machine learning solutions to solve business problems
• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
• Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
• Strong verbal and written communication skills with ability to articulate results of analysis in business terms
• Confirmed ability to conduct complex, data driven analysis
• Ability to work independently and collaboratively in a fast-paced environment

Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis

Domain

eCommerce / Retail / SAP

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Willing to travel to Australia and other APAC regions on a regular basis

Job Description & Requirements

• Lead a project design team from inception to delivery of hyperscale data centres with related activities for new builds and fit out projects
• Liaise with and support the Development Manager and senior management on client and customer proposals to ensure that there is seamless transition once projects are implemented
• Collaborate with our top cloud and enterprise customers and communicate presentations on all aspects of design
• Develop high level master planning, space planning and engineering solutions for potential new developments (feasibility stage)
• Produce consultant briefs to develop designs from feasibility stage through concept, scheme and detailed design stages, ensuring continuity of design philosophy and approach
• Coordinate technical aspects of direct procured equipment and facilitate alignment with the design team
• Understand commercial implications of engineering decisions and build cost models for customers.
• Leverage local subject matter expert's tribal knowledge, spread adoption of best practices
• Coordinate closely with data centre field operations to foster alignment and partnerships for business success
• Provide regular reporting, updates and presentations to senior management and internal stakeholders including progress reporting, risk assessments, investment committees, customer proposals and business case development.
• Build and manage project scope, equipment requirements and assist with proposals and capital requests
• Stay updated on data centre industry trends, best practices, and emerging technologies, incorporating them into designs and builds as appropriate

Job Requirements:

• 10+ years' experience in design and project delivery;
• A Bachelor’s engineering degree is a plus
• In-depth understanding of Australia business regulations with extensive experience working with relevant Partners in the region.
• Experience working for a data centre operator and previous hyperscale and cloud experience, ideally in the Asia Pacific market
• Good overall knowledge of the current data centre market in Australia
• Excel at communication and can deliver effective presentations on data centre operations to customers, peers and management
• Strong leadership and foresight to lead multi-disciplinary teams across multiple geographies

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

One Marina

M-F, 8.30am to 5.30pm

Senior Executive, Business Transformation & Synergy

up to 5300

Requirements

- project Management

- ⁠data analytics and dashboard visualisation

- ⁠strong communication and need to manage and work with global parties and internal depts

§ Support in Project Management for Data Driven Enterprise project (DDE project)

§ Handling enhancement requirement from regional / headquarter stakeholders and assign to development team for development

§ Design new data mart to enhance visualization effectiveness and coordinate with development team for deployment

§ Assist in managing and developing data handling processes and governance frameworks across the organization

§ Oversee the project backlog and monitor progress through consistent communication with global stakeholders

§ Provide weekly updates on the Looker Explore enhancement backlog in collaboration with the Global Headquarters (GHQ) and Regional Headquarters (RHQ) business team, ensuring that the necessary data and reports are available for business use

§ Support in Project management for global cost saving initiatives

§ Create and maintain cost visualization dashboards using Looker (BI) through effective communication with Product & Network business teams, supporting their efforts to meet cost-saving targets

§ Support in any ad hoc tasks as assigned

To apply: Email your resume to:

The Company

Our client, a prominent Singapore-based organization based in Changi. Headquartered in Singapore, this organization has established a strong presence throughout APAC, Europe, and other key global regions. Known for its dynamic, fast-paced environment, the company is currently seeking a skilled Compliance Manager to join its growing team and contribute to advancing the company’s global compliance framework.

Responsibilities

In this mid-level role based in Singapore, you will work closely with the Chief Legal Officer and VP of Ethics & Compliance to enhance and manage the company’s compliance policies and regulatory initiatives across multiple jurisdictions. This position will focus on data privacy while supporting a broader compliance scope, ensuring that the company adheres to relevant regulations and industry standards worldwide. Key responsibilities include:

• Assisting in the development, documentation, and implementation of compliance policies and procedures to support the Ethics & Compliance team within the Legal & Secretariat department.
• Leading efforts in areas of personal data protection, anti-bribery measures, trade sanctions, and ethics, with an emphasis on translating local and international regulations into actionable company policies.
• Administering third-party due diligence, managing vendor risk, and handling compliance risk areas, such as sanctions red flags or bribery concerns.
• Creating and delivering compliance training programs, including e-learning modules, in-person sessions, and organization-wide compliance communications.
• Collaborating with business units to establish compliance-related processes and effectively engage with internal and external stakeholders, including senior management.
• Managing incident responses for data breaches and assisting in ongoing compliance initiatives as required across jurisdictions.
• Taking a proactive approach to stay updated with regulatory changes and enhance the organization’s compliance standards.

Requirements

• A degree in Law preferred.
• Professional certification in data protection (such as Singapore PDPA certification or GDPR) or an equivalent qualification is preferred.
• 5-10 years of relevant experience in compliance, particularly in data privacy, regulatory compliance, and/or ethics.
• Solid understanding of legal and regulatory requirements in Singapore and other key jurisdictions (US, UK, EU).
• Excellent communication skills, with the ability to draft clear policies and deliver precise communications to various stakeholders.
• Self-motivated with strong initiative, adaptable in a fast-paced environment, and resilient with a high level of professionalism.
• Ability to collaborate effectively within a global team structure, fostering positive relationships with colleagues and stakeholders.
• Open to learning new areas within regulatory and compliance frameworks as required.

Location: Singapore, Changi Office (4 days a week on-site).

A Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities: • Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging. • Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality. • Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance. • Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality. • Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows. • Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring 1 | P a g e compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance. • Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation. • Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC. • Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC. • Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments. • Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements. • Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications Requirements / Qualifications • Bachelor’s or master’s degree in computer science, data engineering, or a related field. • Minimum 7 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC. • Proficiency in programming languages such as Python, Java, or Scala for building data pipelines. • Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes. • Strong knowledge of SQL and NoSQL databases. • Familiarity with data modeling and schema design. • Excellent problem-solving and analytical skills. • Strong communication and collaboration skills. • AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

The Company

Our client, a prominent Singapore-based organization based in Changi. Headquartered in Singapore, this organization has established a strong presence throughout APAC, Europe, and other key global regions. Known for its dynamic, fast-paced environment, the company is currently seeking a skilled Compliance Manager to join its growing team and contribute to advancing the company’s global compliance framework.

Responsibilities

In this mid-level role based in Singapore, you will work closely with the Chief Legal Officer and VP of Ethics & Compliance to enhance and manage the company’s compliance policies and regulatory initiatives across multiple jurisdictions. This position will focus on data privacy while supporting a broader compliance scope, ensuring that the company adheres to relevant regulations and industry standards worldwide. Key responsibilities include:

• Assisting in the development, documentation, and implementation of compliance policies and procedures to support the Ethics & Compliance team within the Legal & Secretariat department.
• Leading efforts in areas of personal data protection, anti-bribery measures, trade sanctions, and ethics, with an emphasis on translating local and international regulations into actionable company policies.
• Administering third-party due diligence, managing vendor risk, and handling compliance risk areas, such as sanctions red flags or bribery concerns.
• Creating and delivering compliance training programs, including e-learning modules, in-person sessions, and organization-wide compliance communications.
• Collaborating with business units to establish compliance-related processes and effectively engage with internal and external stakeholders, including senior management.
• Managing incident responses for data breaches and assisting in ongoing compliance initiatives as required across jurisdictions.
• Taking a proactive approach to stay updated with regulatory changes and enhance the organization’s compliance standards.

Requirements

• A degree in Law preferred.
• Professional certification in data protection (such as Singapore PDPA certification or GDPR) or an equivalent qualification is preferred.
• 5-10 years of relevant experience in compliance, particularly in data privacy, regulatory compliance, and/or ethics.
• Solid understanding of legal and regulatory requirements in Singapore and other key jurisdictions (US, UK, EU).
• Excellent communication skills, with the ability to draft clear policies and deliver precise communications to various stakeholders.
• Self-motivated with strong initiative, adaptable in a fast-paced environment, and resilient with a high level of professionalism.
• Ability to collaborate effectively within a global team structure, fostering positive relationships with colleagues and stakeholders.
• Open to learning new areas within regulatory and compliance frameworks as required.

Location: Singapore, Changi Office (4 days a week on-site).

Roles & Responsibilities

• Supporting operation in the assigned process unit in DCS panel
• Handling day-to-day duties and plant troubleshooting
• Conducting field logging, routine sampling, and plant testing work
• Ensuring equipment complying to SOP and working instructions
• Management of the team, including all aspects of people and performance management.
• Drive and work with support teams to resolve service disruptions and restore services as rapidly as possible.
• Ensure timely escalation and track incident life cycle till resolution.
• Document and update NOC operation processes and troubleshooting guides.
• Identify areas for process and efficiency improvements within NOC.
• Participate and contribute product or enhancement projects.
• Other general duties

Requirements:

• At least 3 years’ working experience in IT Helpdesk / NOC environment (Telco Environment)
• At least 2 years’ management experience to lead a support team
• Strong Communication Skills, with good email and verbal etiquette for compilation information / creation and dissemination of SOPs
• Familiar with Layer 2 and Layer 3 Technologies, eg DWDM, BGP, to aid in fault identification and escalation.
• Able to work independently and as a good team player.
• Good deductive reasoning and problem-solving ability.
• Excellent verbal and written communication and presentation skills.

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you wish to be challenged to think creatively? The people here at Apple don’t just craft products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! The Data Center Operations group is looking for a Field Service Engineer. The successful candidate will be responsible for deploying and maintaining servers and supporting fixtures and infrastructure in Data Centers located within Asia Pacific region. In this role you will focus on developing and sustaining solutions through communication and coordination with Apple Data Center teams and Business Groups to help deliver a solid infrastructure and services to meet global business objectives. We seek a self-starter, visionary team player with strong infrastructure cabling capabilities to drive standards as well as innovative methodologies to achieve these objectives.

Description

You will help complete projects in the deployment and maintenance of compute servers, including cabling infrastructure and DCIM elements. You will provide DC incident management and change control to prevent and/or manage failure scenarios leading to the recovery of services with improvement plans to mitigate future occurrence. A proven track record in vendor management for infrastructure expansion, enforce compliance with technical specifications and quality standards is also needed. You will lead material movements with Engineers, Project Managers and/or Customer Business teams on executing movements within required delivery timelines. Ensure required actions are implemented in Apple systems to facilitate job function, identify issues and perform Root Cause Analysis to prevent future operational impact.

Minimum Qualifications

• Expertise with data center operational tasks, including rack sizing, construction, equipment installation and decommissioning. Willing to do hands-on activities.
• Hands-on experience with various copper and fiber cabling structures, cable infrastructure design and labeling methodology.
• Expertise with break-fix and incident management.
• Experience with DCIM (Data Centre Infrastructure Management) tools. Hands-on operations in securing and monitoring equipment with enterprise level management tools.
• Possesses a global perspective with the ability to understand and work effectively in a culturally diverse organization
• The proven ability to manage key stakeholder interests while at the same time managing conflicting priorities and business interests.

Preferred Qualifications

• Must be capable of independent problem solving and self-motivated.
• Strong communicator at all levels with excellent oral and written skills to a variety of audiences.
• Prior experience in DC operations, supply chain, DC Construction would be beneficial.

We are seeking a skilled SQL Migration and Database Specialist to lead our database migration projects and optimize our data management processes. This role requires expertise in SQL and database management, with a focus on ensuring smooth migrations, data integrity, and minimal downtime. You will work closely with IT teams to develop migration strategies, troubleshoot issues, and enhance database performance.

Key Responsibilities:

• Plan, execute, and oversee SQL database migrations, ensuring accuracy, data integrity, and minimal downtime.
• Analyze existing database structures and recommend improvements to optimize performance and scalability.
• Perform data validation and consistency checks before, during, and after migrations.
• Identify and resolve performance bottlenecks, optimize queries, and ensure databases run efficiently.
• Implement robust backup and recovery plans to protect data during migration and reduce risk of data loss.
• Diagnose and resolve database issues in a timely manner, ensuring minimal disruption to operations.
• Maintain detailed documentation for migration processes, configurations, and procedures.
• Work closely with cross-functional teams, including application developers, system administrators, and project managers, to ensure seamless database integration and alignment with business goals.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven of 5+ years of experience in SQL database migration and administration.
• Strong understanding of relational database design, optimization, and data modeling.
• Familiarity with various SQL database platforms (e.g., MySQL, MS SQL Server, Oracle).
• Proficiency in SQL scripting and query optimization.
• Experience with data migration tools and techniques.
• Strong problem-solving skills and ability to diagnose and resolve database issues.
• Knowledge of ETL processes and data integration.

Soft Skills:

• Excellent communication skills, with the ability to explain complex database concepts to non-technical stakeholders.
• Strong attention to detail and a commitment to accuracy and data integrity.
• Ability to work in a fast-paced environment and manage multiple tasks effectively.

Preferred Qualifications:

• Experience with cloud database solutions (e.g., AWS RDS, Azure SQL Database).
• Knowledge of data security best practices and GDPR compliance.
• Certifications in database management or cloud technologies (e.g., Microsoft Certified: Azure Database Administrator).

This position is ideal for a recent graduate who is passionate about solving challenging business problems and building applications that provide an excellent user experience. As a Data Engineer, you will be an integral part of the Loyalty and Marketing development team, focusing on designing and building software solutions that leverage data to solve business problems.

The role is for a self-motivated individual with strong foundational software engineering skills. The candidate will be extensively involved in hands-on activities, including POCs, design, documentation, and development of new functionality. The candidate must be flexible and willing to switch tasks based on the team's needs.

Responsibilities:

• Assist in the design, development, and implementation of software solutions.
• Participate in the development of new products iteratively by building quick POCs and converting ideas into real products.
• Design and develop mission-critical systems, delivering high-availability and performance.
• Interact with both business and technical stakeholders to deliver high-quality products and services that meet business requirements and expectations while applying the latest available tools and technology.
• Develop code under the guidance of senior developers to ensure deliverables are on time, within budget, and with good code quality.
• Maintain a passion for delivering zero-defect code and contribute to ensuring the team's deliverables meet or exceed the prescribed defect SLA.
• Assist in coordinating Continuous Integration activities and other related items in addition to contributing core product code.
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.

Salary: up to $3200

Working Days & Hours: Mon-Fri Office Hours, 1 half day sat once a month

Location: Kent Ridge

Job Description:

- Responsible for supporting Medical Social Workers (MSW) team in direct patient work, administrative work and general duties

- Manage routine cases assigned by MSWs independently

- Provide training for new social work and administrative assistants

- Conduct financial assessment on eligibility of applicants for the various financial schemes

- Conduct field visits and facilitate discharges by accompanying patients home or to social service organizations

- Able to independently take on inpatient and outpatient casework, doing follow up work for discharged patients and networking with community services to facilitate seamless care

Job Requirements: Min Diploma in Social Work or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

As a Data Center Design Manager you will be part of a global engineering leadership team, comprised of highly effective Architects, Structural, Civil, Mechanical, Electrical, and Control Engineers. AWS drives the engineering on our capacity delivery projects. This unique vantage point allows the Design Managers to maintain a close connection with project details and drive project outcomes. You will have impact on the design direction and ability to improve design delivery for all APAC projects, while establishing design procedures and protocols for the development of future systems. This role is an opportunity to collaborate with many facets of the AWS organization, external engineering resources and regulatory agencies.

Key job responsibilities

• Leading a team of engineers in the design of data center critical infrastructure systems
• Facilitating weekly meetings with internal engineer resources, internal customers and external consultants to address design issues, meet design milestones and escalate as needed.
• Driving process improvements.
• Creating and tracking metrics related to cost, quality and duration of design as well as collecting data from construction and commissioning teams as designs are implemented.
• Establishing capital project design budgets and contributing to complex business cases for existing region and new region deployment.
• Collaborating with AWS finance teams to secure funding for projects.
• Working in partnership with AWS Engineering leads to schedule engineering resources and influence design changes based on internal customer needs.
• Partnering with internal customers to establish project scope, schedule and deliverables.
• Managing document controller’s workflow and audit of deliverables

Responsibilities:

• Design and build scalable data pipelines using AWS services such as Glue, Redshift, S3, and EMR to process and transform large datasets.
• Implement best practices for data storage, data lakes, and data warehousing on AWS to ensure optimal performance, security, and cost-efficiency.
• Develop and integrate Generative AI models using AWS SageMaker, Bedrock, and other AI/ML services to deliver intelligent automation and insights.
  Build, train, and fine-tune machine learning models, including Generative AI models, for various business use cases.
• Implement data governance frameworks to ensure data integrity, quality, and compliance with industry regulations.
• Secure data environments by enforcing best practices for AWS Identity and Access Management (IAM), encryption, and data privacy policies.
• Automate data processing and machine learning workflows using AWS Lambda, Step Functions, and Infrastructure-as-Code (IaC) tools like CloudFormation or Terraform.
• Continuously optimize data architectures and AI solutions to reduce costs and improve performance.
• Collaborate with cross-functional teams to identify business challenges and design data-driven AI solutions that address them.
• Provide technical guidance to teams on AWS data services and AI/ML best practices.
• Monitor and maintain the performance of data pipelines, AI models, and AWS infrastructure, ensuring they are robust, reliable, and scalable.
• Troubleshoot data and AI model issues, providing timely resolutions to maintain uninterrupted operations.

Your skillsets/requirement:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related fields.
• 3-5 years of hands-on experience in AWS data engineering and AI/ML projects.
• Proven experience with AWS services such as Glue, Redshift, S3, SageMaker, and Lambda

Job Summary

We are seeking a detail-oriented Data Analyst to support daily operational reporting, data extraction for various business needs, and audit-related tasks. This role is integral to ensuring data accuracy, providing actionable insights, and supporting compliance within our credit card operations. The ideal candidate should have a strong analytical background, experience with SQL, and an understanding of financial data relevant to the credit card industry.

Responsibilities

1.Daily Operational Reporting

• Generate, review, and distribute daily, weekly, and monthly reports related to credit card transaction volumes, financial performance, and other OKRs.
• Ensure the accuracy, reliability, and timeliness of all reporting outputs.
• Collaborate with different departments to customize reports to meet operational needs.

2. Data Extraction for Business Operations

• Use SQL or other query tools to extract data as needed for ad-hoc analysis,performance tracking, and business operations.
• Work with cross-functional teams to understand data needs, design queries, and ensure data integrity.
• Identify data trends and provide recommendations based on analysis.

3. Audit and Compliance Support

• Support internal and external audit activities by retrieving and validating required datasets.
• Document data sources, extraction methodologies, and calculations to ensure data transparency.
• Collaborate with compliance and risk management teams to ensure data reporting aligns with regulatory requirements.

4. Data Management and Quality Assurance

• Conduct regular quality checks on datasets and reports to ensure consistency andaccuracy.
• Participate in data cleansing and enrichment initiatives to improve data quality.
• Maintain data documentation and ensure adherence to data governance policies.

5. Continuous Improvement

• Identify opportunities to automate data processes and reporting workflows.
• Develop and enhance analytical tools and dashboards to support decision-making.
• Stay updated on industry trends and best practices in data analytics for financial services.

Qualifications

• Bachelor’s degree in Data Science, Finance, Economics, Statistics, or a related field.
• Proven experience as a Data Analyst, preferably within the financial or credit card industry.
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI)
• Strong analytical and problem-solving skills with a keen eye for detail.
• Familiarity with audit processes and regulatory compliance requirements.
• Ability to communicate insights effectively to both technical and non-technical stakeholders.

Preferred Skills

• Knowledge of data warehousing and ETL processes.
• Understanding of credit card operations and financial transaction data.
• Experience with statistical tools (e.g., Python, R) is a plus.

We are seeking an experienced Veritas Data Insight Consultant to join our team. This role requires hands-on expertise in the sizing, deployment, implementation, and technical support of Veritas Data Insight solutions, with experience in Veritas Cluster Server (VCS) or InfoScale. The ideal candidate will have a strong technical background, excellent communication skills, and a proven ability to manage customer relationships effectively.

Key Responsibilities:

• Sizing and Design:Analyze client requirements and design scalable, effective solutions for data insight and governance using Veritas Data Insight.
  Conduct proper sizing to ensure solutions meet current and future storage and data management needs.
  
• Deployment and Implementation:Lead the deployment and configuration of Veritas Data Insight solutions, ensuring smooth integration and alignment with client systems.
  Implement and optimize Veritas Data Insight solutions for maximum effectiveness in data visibility, usage monitoring, and security compliance.
  
• Technical Support and Problem Resolution:Provide technical support, troubleshooting, and timely problem resolution for Veritas Data Insight and associated products.
  Resolve client issues and escalate complex problems as necessary, maintaining high levels of customer satisfaction.
  
• Customer Relationship and Collaboration:Serve as the primary technical liaison with clients, managing expectations and maintaining strong relationships.
  Collaborate with internal and client teams to ensure project objectives are met and best practices are followed.
  
• Documentation and Reporting:Produce detailed documentation of technical processes, configurations, and operational procedures.
  Prepare and present reports, project updates, and technical findings to clients and stakeholders.
  

Qualifications and Experience:

• Experience: 4-7 years of hands-on experience with Veritas Data Insight, including deployment, implementation, and support.
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Technical Skills:Proficiency in Veritas Data Insight, Veritas Cluster Server (VCS), or InfoScale.
  Strong technical troubleshooting and problem-solving skills.
  Familiarity with data governance, storage management, and compliance best practices.
  
• Soft Skills:Excellent writing, presentation, and communication skills.
  Proven customer relationship management and client-facing experience.
  Team-oriented, collaborative, and committed to achieving project success.
  

Why Join Us?

This role offers the opportunity to work with advanced data insight and governance solutions within a collaborative and growth-oriented environment. You will play a key role in helping clients achieve better data management and security outcomes, while expanding your expertise in Veritas technologies.

How to Apply: Please submit your resume and a cover letter detailing your experience with Veritas Data Insight, VCS or InfoScale, and your interest in this position and send to [email protected]