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      Urgent! Lead Data Engineer Job Opening In Malaysia, Malaysia – Now Hiring Monroe Consulting Group
Job Summary:
We are seeking an experienced and driven Lead Data Engineer to spearhead the design and development of a modern, cloud-native data warehouse on AWS.
This role is critical to building a scalable, secure, and efficient data platform that supports analytics, reporting, and AI use cases across the organization.
The ideal candidate is both technically hands-on and capable of leading a team to deliver enterprise-grade data solutions.
Job Responsibilities:
Cloud Data Architecture Ownership - Take end-to-end ownership of cloud data architecture-designing, developing, and implementing a robust data warehouse using AWS services such as S3, Glue, Redshift, Lambda, Step Functions, and Athena.
Infrastructure Evolution - Lead the evolution of data infrastructure with a long-term vision, ensuring scalability, reliability, and performance to support growing business needs.
Engineering Excellence - Define and enforce high standards across data engineering-driving excellence in source control, automation, testing, and deployment through clean, well-documented code and strong CI/CD workflows.
Data Governance & Security - Ensure data integrity, governance, and security are embedded throughout the pipeline, delivering datasets stakeholders can depend on with confidence.
Technical Mentorship - Act as a trusted technical mentor, growing the skillset of your team and raising the bar on data engineering quality through peer reviews and knowledge sharing.
ETL/ELT Pipeline Development - Design and maintain high-performance ETL/ELT pipelines to rapidly transform raw data into ready-to-use, structured datasets.
Data Modeling Optimization - Continuously optimize data models (e.g., star schema) for analytics and reporting, accelerating decision-making across the business.
Agile Innovation - Embrace agility-identify inefficiencies, ship improvements quickly, and iterate with speed and precision to drive continuous enhancement.
Cross-Functional Collaboration - Partner closely with analytics, business, and IT teams to understand needs and co-create scalable, user-friendly data solutions.
Break down silos and foster a collaborative, cross-functional approach to solving complex data challenges.
Inclusive Leadership - Lead with empathy and clarity-creating an inclusive team culture where knowledge is shared and everyone is set up to succeed.
Self-Service Enablement - Build data systems that empower internal stakeholders to self-serve insights and deliver exceptional customer experiences.
Innovation & Technology Leadership - Stay ahead of the curve on emerging AWS technologies, recommending innovations that help better serve customers and scale smarter.
Translate complex data into actionable solutions that directly impact product, strategy, and customer satisfaction.
Key Requirements:
Experience - 6-7 years of experience in data engineering, with at least 3 years working in cloud-based environments (preferably AWS).
AWS Expertise - Strong hands-on experience with AWS S3, Glue, Redshift, Lambda, Step Functions, and other core AWS services.
Technical Proficiency - Proficient in SQL and Python for data transformation and automation.
Pipeline & Modeling Experience - Proven experience in building and managing data models and data pipelines for large-scale data environments.
Data Architecture Knowledge - Solid understanding of data warehousing principles, data lakes, and modern data architecture patterns.
Leadership Experience - Experience leading and mentoring data engineering teams with a track record of developing talent.
Communication Skills - Strong communication and collaboration skills to work effectively with cross-functional teams and translate technical concepts to business stakeholders.
Preferred Skills (Advantage):
Advanced Platforms - Experience with Snowflake on AWS, or Databricks is a plus.
DevOps Practices - Exposure to DevOps practices such as CI/CD for automated deployment and infrastructure as code.
Governance Frameworks - Familiarity with data governance and security frameworks in AWS environments.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Lead Data Potential: Insight & Career Growth Guide
Real-time Lead Data Jobs Trends in Malaysia, Malaysia (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Data in Malaysia, Malaysia using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 7809 jobs in Malaysia and 491 jobs in Malaysia. This comprehensive analysis highlights market share and opportunities for professionals in Lead Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Monroe Consulting Group is currently hiring and seeking a Lead Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Lead Data Engineer Jobs Malaysia.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Monroe Consulting Group adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead Data Engineer Jobs Malaysia varies, but the pay scale is rated "Standard" in Malaysia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Lead Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Lead Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
 
            Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Lead Data Engineer interview at Monroe Consulting Group, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Monroe Consulting Group's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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