Data platform Engineer

This demand is for a Platform Support / Data Engineer with 5+ years’ experience in platform/application support or software/data engineering, including incident management.

• The role requires strong experience in application implementation, RDBMS integration, and hands-on work in Linux/Unix environments with scripting.
• Candidates should be able to drive automation and CI/CD improvements for deployment, monitoring, and incident response, and have working knowledge of data integration and visualization tools (e.g., Informatica, Tableau, Power BI).
• Strong communication skills and experience working in SDLC/Agile environments are essential.

Requirement:

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 5 years of experience working as a platform support engineer, a software engineer, or a data engineer with experience in Incident Management.
• Strong working knowledge and experience in application implementation to implement new platforms.
• Familiar with application integration using RDBMS.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment, and familiar with shell scripts and command line tools.
• Knowledge of data integration, data visualization platforms such as Informatica, Tableau, and Power BI.
• Able to identify automation opportunities to automate operational tasks, streamline deployment via CICD, monitoring, and incident response processes, and reduce manual intervention.
• Exposure and knowledge in the following technologies will be advantageous:
  o Ansible, Python
  o Snowflake, Oracle, MS-SQL, Denodo
  o AWS services
• Experience in Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.
• Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.
• Good team player with strong analytical skills, and enjoys complex problem-solving with innovative ideas.
• Good communication/people skills and able to interact with data analysts, business end-users, and vendors to design and develop solutions.
• Good at working with details and is meticulous with operations.