Infrastructure & Data Engineer Specialist

Job Description

• Design, implement, and maintain IT infrastructure, including servers, storage, virtualization platforms, networking, and cloud environments.
• Manage and optimize data infrastructure to ensure high availability, scalability, security, and performance.
• Develop, maintain, and optimize data pipelines and ETL/ELT processes for data integration from multiple sources.
• Administer and monitor databases, data warehouses, and data lake solutions.
• Collaborate with business stakeholders, data analysts, and application teams to understand infrastructure and data requirements.
• Ensure data integrity, reliability, backup, disaster recovery, and business continuity processes are effectively implemented.
• Monitor infrastructure and data platform performance, identify bottlenecks, and implement continuous improvements.
• Implement security best practices, including access management, data protection, and compliance with company policies.
• Automate infrastructure provisioning, deployment, and operational processes using scripting and Infrastructure as Code (IaC) tools.
• Troubleshoot and resolve infrastructure, database, and data integration issues in a timely manner.
• Prepare technical documentation, system architecture diagrams, and standard operating procedures.
• Stay updated with emerging technologies and recommend improvements to enhance infrastructure and data capabilities.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field.
• Minimum 2 years of experience in IT Infrastructure, Data Engineering, or a similar role.
• Strong knowledge of Windows/Linux server administration, virtualization (VMware/Hyper-V), and networking fundamentals.
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Proficiency in SQL and database management systems (Microsoft SQL Server, PostgreSQL, MySQL, or Oracle).
• Experience designing and maintaining ETL/ELT pipelines using tools such as SSIS, Azure Data Factory, Apache Airflow, or similar platforms.
• Knowledge of scripting languages such as Python, PowerShell, or Bash.
• Familiarity with data warehousing, data lakes, and big data technologies is an advantage.
• Experience with monitoring tools, backup solutions, and disaster recovery planning.
• Understanding of cybersecurity principles, identity and access management, and data governance.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication skills with the ability to work collaboratively across cross-functional teams.
• Relevant certifications (e.g., Microsoft Azure, AWS, VMware, Cisco, or Kubernetes) are an advantage.