Solution Engineer

• Job Description: Solution Engineer
  
• Department: Data Engineering
  
• Reports to: Presales Lead
  

• To support the presales and solutioning team in building and demonstrating technical solutions for customers and prospects. The Solution Engineer will be responsible for hands- on technical tasks such as setting up demo environments, configuring software components, deploying on servers or cloud, and performing technical validation. The role serves as a bridge between technical solutions and business requirements, ensuring solutions are practical, demonstrable, and aligned with client expectations.
  

• Provision, configure, and maintain technical environments for demos, proof-of-concepts (POCs), and pilot deployments.
  
• Set up software stacks using containers (e.g., Docker), virtual machines, and Linux-based systems.
  
• Support Solution Architects in creating and customizing demo scenarios based on real-world use cases.
  
• Automate environment setup and basic workflows using scripting (e.g., Bash, Python, SQL, PySpark).
  
• Troubleshoot and resolve technical issues during demo preparation or client
  
• engagements.
  
• Work closely with the Sales and Solution teams to understand customer needs and tailor the technical solution accordingly.
  
• Assist in preparing technical documentation, diagrams, system architecture overview and commercial costing.
  
• Provide technical input during proposal, tender, and RFI/RFP processes.
  
• Keep up-to-date with emerging technologies relevant to data platforms, integration, analytics, and cloud infrastructure.
  
• Occasionally support onsite or remote client sessions for technical demos and workshops.
  

• Solid understanding of Linux administration, networking basics, and shell scripting.
  
• Hands-on experience with Docker, containerized environments, or other deployment
  
• automation tools.
  
• Has programming experience, preferably with Python, Shell scripting, and SQL in Data and ETL ecosystem.
  
• Ability to read and understand technical documentation and software architecture
  
• diagrams.
  
• Exposure to data platforms, databases, or integration tools is a plus (e.g., PostgreSQL,
  
• Apache Superset, KNIME, Airflow).
  
• Experience working with public cloud platforms (e.g., AWS, Azure, GCP) is an advantage.
  
• Strong troubleshooting, problem-solving, and analytical thinking.
  
• Good interpersonal and communication skills to work with both technical and non-technical stakeholders.
  
• Self-motivated and able to manage multiple priorities under limited supervision.
  
• Self-driven and able to take own initiative to learn and explore
  
• Capable of picking up new technologies and practices in a rapid manner
  

• Degree or Diploma in Computer Science, Software Engineering, Information Technology, or related field.
  
• At least 3+ years experience in a similar role, ETL/ELT development OR strong portfolio of personal projects or freelance work.
  

• Certifications such as Cloudera, CompTIA Linux+, Docker Certified Associate, AWS Cloud Practitioner, or equivalent.
  
• Hands-on experience with Hadoop, Cloudera, Trino, Neo4j, and ETL Development.
  
• Experience with CI/CD pipelines or basic DevOps practices.
  
• Exposure to business intelligence, data engineering, or ETL concepts.
  
• Familiarity with Git and collaborative development workflows.
  

Job Type: Full-time

Pay: RM5,000.00 - RM7,500.00 per month

Work Location: In person