Overall Responsibilities 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. Key Responsibilities 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 overviews 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. Skills and Attributes 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 Minimum Qualifications 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. Preferred (Optional but Advantageous) 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. Show more Show less