What Jobs are available for Aws Data in Malaysia?

Key Responsibilities

• Design, develop, and maintain data pipelines and

ETL/ELT workflows using AWS services.

• Build and optimize data lakes and data

warehouses on AWS (e.g., S3, Redshift, Snowflake, Databricks).

• Implement data ingestion from multiple

structured and unstructured sources.

• Develop and deploy scalable data processing

solutions using AWS Lambda, Glue, EMR, Kinesis, Step

Functions, and Terraform.

• Ensure data quality, governance, and security in

compliance with organizational and regulatory standards.

• Collaborate with data scientists, analysts, and

business stakeholders to enable analytics and AI/ML initiatives.

• Monitor, troubleshoot, and optimize data

infrastructure performance and costs.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer

Science, Data Engineering, or related field.

• 5+ years of experience in Data Engineering with

strong exposure to AWS Cloud.

• Strong hands-on expertise with AWS services

such as S3, Glue, Redshift, Lambda, IAM,

CloudFormation/Terraform.

• Experience with data pipeline orchestration

(Airflow, Step Functions, or similar).

• Proficiency in Python, SQL, and PySpark.
• Strong knowledge of data warehousing, data

lakes, and data management practices.

• Familiarity with Snowflake, Databricks, or similar

platforms (preferred).

• Strong understanding of DevOps practices, CI/CD

pipelines, and cloud infrastructure.

• Excellent problem-solving and

communication skills.

Job Type: Full-time

Pay: RM4, RM7,405.00 per month

Key Responsibilities

• Design, build, and manage AWS infrastructure using IaC tools (Terraform, CloudFormation, CDK).
• Implement and maintain AWS security controls (IAM, encryption, monitoring, incident response).
• Partner with security and compliance teams to build secure, auditable environments.
• Act as a cloud adoption consultant, supporting migration and modernization initiatives.
• Provide guidance on governance, operational models, and best practices.
• Contribute to architectural discussions and provide input into high-level cloud design decisions.
• Work with business and technical stakeholders to align AWS solutions with strategic objectives.
• Mentor engineers and promote a culture of cloud-first, security-focused adoption.

Skills & Experience

• Strong cloud security expertise
  across IAM, encryption, monitoring, and compliance.
• Strong knowledge of AWS core services (EC2, S3, RDS, Lambda, ECS/EKS, VPC, IAM, CloudWatch, KMS, etc.).
• Proficiency with Infrastructure-as-Code (Terraform, CloudFormation, CDK).
• Exposure to DevOps practices and CI/CD pipelines.
• Knowledge of container orchestration (EKS, ECS, Kubernetes).

Summary
Position: L3 AWS Cloud Engineer

Experience: 7-9 Years

Location: Malaysia

Employment Type: Full-Time

Job Summary

We are looking for an experienced L2 AWS Cloud Engineer with 6-8 years of experience to design, implement, and manage AWS cloud infrastructure. The candidate must have a strong understanding of AWS networking, Kubernetes, DNS routing, cloud security, and CDN services, ensuring robust and secure cloud environments.

Key Responsibilities

• Design and deploy scalable, secure, and highly available AWS infrastructure.

• Configure and manage AWS networking components (VPC, Route 53, Direct Connect).

• Deploy and manage containerized applications using Kubernetes (EKS or self-managed).

• Implement DNS routing policies and optimize CDN services using AWS CloudFront.

• Enforce cloud security best practices, including IAM policies, security groups, and encryption.

• Automate infrastructure provisioning using IaC tools like AWS CloudFormation or Terraform.

• Monitor and optimize cloud performance using tools like CloudWatch, and third-party solutions.

• Troubleshoot complex issues and provide root cause analysis.

• Collaborate with cross-functional teams to support application deployments.

Required Skills and Qualifications

• 6-8 years of experience in cloud engineering, with at least 5-6 years focused on AWS.

• Strong understanding of AWS networking (VPC, subnets, Route 53, ELB).

• Hands-on experience with Kubernetes for container orchestration.

• Strong Experience in Linux and Windows troubleshooting

• Knowledge of DNS routing and CDN services (e.g., AWS CloudFront).

• Expertise in cloud security practices (IAM, KMS, security groups).

• Proficiency in scripting (Python, Bash) and IaC (CloudFormation, Terraform).

• Experience with monitoring and logging tools (CloudWatch, ELK stack).

• AWS Certified SysOps Engineer

Preferred Skills

• Experience with CI/CD tools (Jenkins, GitLab CI, AWS CodePipeline).

• • Familiarity with serverless architectures (AWS Lambda, API Gateway).

Key Responsibilities

Strategy and Planning

• Develops and execute strategies for overall improvement in the efficiency of Risk Data Solutions & Strategy (RDSS) Unit's operations and the quality of data in the RDM.
• Understand the data needs of different teams in Group Risk and propose solution / process enhancements that will benefit majority of the data users, meet Basel and other regulatory requirements.
• Drive, manage or participate in strategic and key focus projects (e.g. enhancement of data marts, implementation of new data solutions, data quality initiatives, new systems integration, streamlining and automation of processes on ERI's data platforms, etc.); and ensure the implementation is delivered with quality within the stipulated timeframe.

Business Performance and Management

• Ensure RDM monthly reporting cycles are completed successfully in a timely manner.
• Review new product papers, systems interfaces, data and process changes and propose solution enhancements that are necessary to facilitate Credit / Market Risk Weighted Asset (RWA) computation, Single Counterparty Exposure Limit (SCEL) and Non-Retail Portfolio reporting and analytics.
• Plan and prioritize for work deliverables to be delivered based on a realistic timeline.
• Work together with relevant Risk reporting and GT teams on RDM data enrichment and ensure that data mapped into the RDM meets Basel IRB and other regulatory requirements
• Responsible for Data Integration from CIMB Entities/Subsidiaries/Branches to the RDM for Group Risk reporting.
• Provide support and guidance to Data Management teams in regional entities to align processes, infrastructure solution and capabilities, where applicable.
• Promptly escalate critical data quality and data governance related issues to the Data Owners / System Owners and track progress for resolution.

People Management

• Lead / guide an effective and cohesive team that operates seamlessly between departments, division and across borders.
• Engage with key stakeholders effectively to derive clear communication, implementation strategies, expectation of deliverables and timeline.
• Initiate ideas for continuous improvement of team members' skillsets and expertise in data management and operational efficiency of RDM.
• Provide guidance to the team on the RDM data model extension/enhancement to cater for new data requirements.
• Manage external vendors and GT team supporting the SAS RDM and RWA solution to ensure effective support, efficient system enhancement and optimal system performance.

Regulatory Compliance

• Ensures the department's operations are in compliance with Group, local and regional regulations
• Ensures the data required for regulatory reports submission are accurate and ready for usage as per agreed SLA

Job Requirements

• Qualification: Degree in IT / Information Management / Computer Science from a reputable university

• Relevant Work Experience:

• Minimum 8 years of experience in data warehouse / data mart

• implementation
• Minimum of 7 years working in the banking industry
• Minimum 3 years of experience in project management (added advantage if Risk related projects).
• Minimum 3 years of prior leadership / team lead role in an established banking/financial institution

Technical/Functional skills

Mandatory

• Knowledge in SAS application (SAS-EG / SAS-Base).
• Knowledge on data warehouse, data lake and/or data mart implementations
• Knowledge in Data Management and Data Governance processes / controls.
• Knowledge in data integration and solutioning.
• Ability to write SQL queries for data profiling and issues investigation
• Ability to design logical data models
• Knowledge in Basel, SCEL, and other related regulatory requirements.
• Sound knowledge in banking product data and features.
• Knowledge in core banking application, loan origination systems
• Knowledge in risk systems (e.g. credit scoring and rating systems, limit monitoring systems, Risk Weighted Assets (RWA) computation engines, risk data marts)
• Basic project management experience.

Added Advantage

• Knowledge in loan credit administration and operational process flow (e.g. loan application, approval, disbursement, monitoring, etc)
• Understanding on ETL design best practises
• Knowledge in Visualization tools such as Tableau, QlikView.

Personal skills (Soft Competencies (Core/Leadership))

• Strong communication, writing and presentation skills (English)
• Excellent analytical skills
• Good stakeholder management skills and ability to communicate effectively with both IT and business divisions (local and regional)
• Strong presentation and influencing skills, required for discussions with stakeholders; and knowledge transfer sessions (internal and/or external to the department)
• Strong team work culture

Key Responsibilities

Strategy and Planning

• Understand the new data needs of different teams in Group Risk and propose solution enhancements that will benefit majority of the data users.
• Lead and/or participate in key strategic initiatives and focus projects and ensure the implementation is delivered with quality within the stipulated timeframe.
• Continuously review the data and operational processes of the data platforms managed by RDSS and propose the necessary enhancements to optimize performance and efficiency.
• Provide advisory to other teams within Group Risk on data management, solutions or risk data related matters, when required.
• Work together with relevant Risk teams to implement Generative-AI initiatives.

Business Performance and Management

• Promptly highlight data quality and data governance related issues to the Data Owners / System Owners and track progress for resolution.
• Plan and prioritize for work deliverables to be delivered based on a realistic timeline.
• Provide support and guidance to Data Management teams in regional entities to align infrastructure solution and capabilities, where applicable.
• Supports Team Lead in relevant data-related initiatives (e.g. new data marts or data solutions, data quality initiatives, new systems integration, Gen-AI use cases, streamlining and automation of processes on ERI's data platforms, etc)
• Oversees and ensures timely project delivery as the Business Project Manager or Business Analyst roles.
• Work closely with other Risk and BU teams to perform impact assessment of external changes (e.g. upstream system changes, new products processes, Basel Models changes, regulatory requirement changes, etc) to the data platforms supported RDSS (e.g. RDM, IMDP).
• Work together with the relevant teams to ensure data and functional requirements are fully captured for ease solutioning and data mapping, where relevant, into the data platforms managed by RDSS

People Management

• Demonstrate the culture of an effective and cohesive team player that operates seamlessly between departments, division and across borders.
• Initiate ideas for continuous improvement of team skillsets and expertise in data management and operational efficiency for data platforms managed by RDSS.
• Provide suggestions on data model extension/enhancement to cater for new data requirements across all platforms managed by RDSS.
• Manage external vendors and GT team during project implementation to ensure effective support, efficient system enhancement and optimal system performance.

Regulatory Compliance

• Ensures the department's operations are in compliance with Group, local and regional regulations
• Ensures the data required for regulatory reports submission are ready for usage as per agreed SLA

Job Requirements

• Qualification: Degree in IT / Information Management / Computer Science from a reputable university
• Relevant working experience:
• Minimum 8 years of experience in data warehouse, data lake and/or data mart implementation
• Minimum of 7 years working in the Banking industry
• Minimum 2 years of experience in GenAI implementation
• Minimum 2 years of experience in Cloud implementation
• Minimum 3 years of prior leadership / team lead role in an established banking/financial institution
• Minimum 3 years of experience in project management (added advantage if Risk related projects).

Technical/Functional skills

1) Mandatory

• Sound knowledge in Data Management and Data Governance processes / controls;
• Knowledge in data integration and solutioning.
• Experienced in implementing ETL design best practises
• Ability to write SQL queries for data profiling and issues investigation
• Ability to design logical data models
• Sound knowledge in Banking product features
• Knowledge in core banking application, loan origination systems
• Knowledge or experience in Generative-AI implementation (such as Amazon Bedrock, OpenAI, Microsoft Azure AI, Co-Pilot 365)
• Knowledge or experience in implementing or using Cloud platforms (e.g. AWS, Google Cloud, Microsoft Azure)

2) Added Advantage

• Knowledge in SAS application (SAS-EG / SAS-Base)
• Knowledge in Basel, SCEL, and other related BNM regulatory requirements.
• Knowledge in loan credit administration and operational process flow (e.g. loan application, approval, disbursement, monitoring, etc)
• Experience in projects using Agile methodology
• Knowledge or experience in Visualization tools such as Tableau, QlikView.

Personal skills (Soft Competencies)

• Strong communication, writing and presentation skills (English)
• Excellent analytical skills
• Good stakeholder management skills and ability to communicate effectively with both IT and business divisions (local and regional)
• Strong presentation and influencing skills, required for discussions with stakeholders; and knowledge transfer sessions (internal and/or external to the department)
• Strong team work culture

Job Role: AWS Cloud Consultant

Location: Kuala Lumpur

Role Type: Fulltime

Job Description:

1. Define end to end
   Enterprise and Cloud based Architectur
   e catering to client needs and requirements
2. Analyze Complex application landscapes, anticipate potential problems and future trends, assess potential solutions, Impacts, and risks
   to propose cloud roadmap, solution architecture and associated TCO
3. Develop and implement cloud architecture solutions based on AWS
   and knowledge of AWS , GCP or IBM Cloud is added advantage when assigned to work on delivery projects.
4. Analyze client requirements, propose for
   overall Application modernization, migrations and green field implementations and should be able to execute those projects as technical consultant
5. Experience in implementing and deploying a
   DevOps
   based, end to end cloud application
6. Lead teams for a discovery and architecture workshop, influence client architects, and IT personnel
7. Guide other architects working with you in the team. Adapt communications and approaches to conclude technical scope discussions with various Partners, resulting in Common Agreements.
8. Deliver an optimized infrastructure services design leveraging public, private, and hybrid Cloud architectures and services
9. Act as subject matter and implementation expert for the client as related to technical architecture and implementation of proposed solution using Cloud Services
10. Implement Solution using AWS Cloud Services, open source and other 3rd party technologies
11. Create and develop process frameworks, documents, SOP's, cook book, automation scripts/tools for
    Cloud Discovery, Migrations, Application modernization, DevSecOPs and Services transitions to cloud
12. Experienced in developing
    Terraform/Powershell/AWS Cloud Formation/Jenkin/Ansible /templates
13. Lead internal and external initiative to standardize, automate and develop competitive assets and accelerators

Avensys is a reputed global IT professional services company, and our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. And we service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

We are currently looking to hire AWS Fullstack Developer, This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB TYPE:

5 Months Renewable contract

ROLES AND RESPONSIBILITIES

• Responsible for analyzing, designing, coding, and testing multiple components of application code across one or more clients.
• Perform maintenance, enhancements, and development work.
• Expected to be a subject matter expert, collaborate and manage the team to perform effectively.
• Responsible for team decisions, engage with multiple teams, and contribute to key decisions.
• Provide solutions to problems for your immediate team and across multiple teams.
• Develop innovative solutions that enhance application performance and user experience. Collaborate with cross-functional teams to ensure seamless integration of application components.
• Conduct code reviews and provide constructive feedback to team members. Stay updated with the latest industry trends and technologies to drive continuous improvement. Mentor junior developers and foster a culture of knowledge sharing within the team.

REQUIREMENTS

• Bachelor's degree in Computer Science/Information Technology
• Minimum 7 years' experience in AWS cloud, python, .net framework (C#), Database in SQL & non-SQL, React, in JavaScript and TypeScript.
• Skillful with system design & API design, engineering best practices, coding standards and mentorship.

WHAT'S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to - Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name : Emimal Joshwa

Reg No :

Avensys Consulting Sdn Bhd

Privacy Statement
: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Enterprise Sales – Data Center Solutions Business Unit: LDCS

About the Role:

We are seeking a high-performing Enterprise Sales professional to join our Data Center Business Unit. This role is focused on managing and expanding Domestic and Global Key Accounts, including Large Enterprises, Colocation Providers and Hyperscale Data Centers.

This role is responsible for driving strategic engagement and revenue growth across Legrand's comprehensive portfolio of Data Center solutions, including Racking Systems, Containment, Cable Management, UPS, Busway, PDUs, Cooling, and Cabling Infrastructure, deployed within Data Center environments.

The ideal candidate will have a proven track record in B2B enterprise sales, preferably with direct experience in Data Center infrastructure deployments

Key Responsibilities:

• Own and manage strategic relationships with large enterprise customers, colocation operators, and hyperscalers.
• Develop and execute account plans to drive revenue growth and solution adoption across multiple product lines.
• Collaborate with internal solution engineering, marketing, and project delivery teams to propose end-to-end infrastructure solutions.
• Conduct detailed customer needs analysis and identify cross-selling and upselling opportunities.
• Monitor market trends, customer feedback, and competitor offerings to fine-tune sales strategy.
• Coordinate with channel partners, consultants, and contractors to influence specifications and project wins.
• Provide accurate sales forecasting, pipeline updates, and management reporting.
• Lead commercial negotiations, proposals, and contract closures.

Required Qualifications:

• Bachelor's Degree in Engineering, Business, IT or related field.
• Minimum 3 years of B2B Sales or Business Development experience, preferably in infrastructure, IT, or electrical domains.
• Strong understanding of enterprise buying cycles and account management practices.
• Excellent communication, presentation, and stakeholder management skills

Job Type: Full-time

Pay: Up to RM5,000.00 per month

Application Question(s):

• Do you have at least 3 years of B2B sales or business development experience?
• Have you previously worked in the Data Center, IT infrastructure, or electrical solutions domain?
• Do you have experience managing key enterprise accounts, colocation providers, or hyperscalers?
• Are you familiar with enterprise buying cycles, account planning, and solution-based selling?
• Are you comfortable with traveling for client meetings and project engagements when required?

Language:

• Chinese (Preferred)
• Cantonese (Preferred)
• Mandarin (Preferred)

Business Unit:
LDCS

About The Role
We are seeking a high-performing
Enterprise Sales professional
to join our Data Center Business Unit. This role is focused on managing and expanding
Domestic and Global Key Accounts
, including
Large Enterprises
,
Colocation Providers and Hyperscale Data Centers
.

This role is responsible for driving strategic engagement and revenue growth across Legrand's comprehensive portfolio of Data Center solutions, including Racking Systems, Containment, Cable Management, UPS, Busway, PDUs, Cooling, and Cabling Infrastructure, deployed within Data Center environments.

The ideal candidate will have a proven track record in B2B enterprise sales, preferably with direct experience in Data Center infrastructure deployments

Key Responsibilities

• Own and manage strategic relationships with large enterprise customers, colocation operators, and hyperscalers.
• Develop and execute account plans to drive revenue growth and solution adoption across multiple product lines.
• Collaborate with internal solution engineering, marketing, and project delivery teams to propose end-to-end infrastructure solutions.
• Conduct detailed customer needs analysis and identify cross-selling and upselling opportunities.
• Monitor market trends, customer feedback, and competitor offerings to fine-tune sales strategy.
• Coordinate with channel partners, consultants, and contractors to influence specifications and project wins.
• Provide accurate sales forecasting, pipeline updates, and management reporting.
• Lead commercial negotiations, proposals, and contract closures.

Required Qualifications

• Bachelor's Degree in Engineering, Business, IT or related field.
• Minimum 3 years of B2B Sales or Business Development experience, preferably in infrastructure, IT, or electrical domains.
• Strong understanding of enterprise buying cycles and account management practices.
• Excellent communication, presentation, and stakeholder management skills