Technical Support Engineer - Data & Cloud Platforms

Project description

We are looking for a Technical Support Engineer to provide L2/L3 support for enterprise data platforms and cloud-based applications. The role involves managing production environments, ensuring system stability, and supporting data warehousing and batch processing systems. You will work across Azure-based infrastructure, microservices, and database ecosystems, ensuring adherence to ITIL service management practices.

Responsibilities

Provide L2/L3 production support for data platforms, batch systems, and microservices

Manage incidents, problems, and changes in line with ITIL service management processes

Monitor and support applications deployed on Azure, including Java-based microservices

Perform Linux scripting for automation, troubleshooting, and operational efficiency

Administer Windows environments, including Active Directory and security groups

Manage and monitor job scheduling using Control-M and Cron

Support data warehousing and ETL processes (DataStage/DBT)

Work with Oracle and PostgreSQL databases for issue resolution and performance tuning

Collaborate with development, DevOps, and infrastructure teams for issue resolution and deployments

Ensure system availability, reliability, and performance through proactive monitoring

Support audit, risk, and compliance activities, including asset management

Maintain documentation, runbooks, and operational procedures

Skills

Must have

5+ years strong Technical Support Engineer experience

Strong understanding of ITIL processes (Incident, Problem, Change Management)

Hands-on experience with Azure cloud platform

Proficiency in Linux scripting and troubleshooting

Good knowledge of Windows (Active Directory, security groups)

Experience with scheduling tools such as Control-M and Cron

Experience supporting data warehousing and batch processing systems

Experience managing Java/Microservices environments

Strong knowledge of Oracle and PostgreSQL databases

Exposure to ETL tools such as IBM DataStage or DBT

Understanding of operational support, monitoring, and production environments

Nice to have

Experience in asset management, risk, audit, and compliance processes

Familiarity with DevOps tools and CI/CD pipelines

Knowledge of cloud monitoring and logging tools

Exposure to containerization technologies (Docker/Kubernetes)

Experience working in Agile/Scrum environments