Data Infrastructure Engineer

We are seeking a skilled and motivated Data Infrastructure Engineer proficient with Kafka, Databricks, and Snowflake skills. The candidate must possesses a specialized skillset focused on building, maintaining, and optimizing the core components of a modern data ecosystem, to join our dynamic team. You will play a crucial role in the design, development, and maintenance of our infrastructure, ensuring seamless and efficient software delivery processes.
Years of experience needed:

• 4-6 years of experience as Data Infrastructure Engineer
• Telecommunication Billing experience is preferred.

Technical Skills:

• Hands-on experience on Apache Kafka clusters for real-time data streaming, event processing, and building decoupled data architectures.
• Experience of working with Databricks for data engineering and building ETL/ELT processes within the Databricks environment.
• Experience to leverage Snowflake as a cloud-based data warehouse for analytical workloads
• Must have hands-on experience on maintaining uptime and reliability of data processing of DataOne, automates IAC, deployment, monitoring.
• Familiarity with version control systems, particularly Git, and collaboration platforms.
• Knowledge of infrastructure-as-code (IAC) principles and tools, such as Ansible and Terraform.
• Strong problem-solving skills, a proactive approach to system health, and the ability to troubleshoot complex issues.
• A solid background in system administration, infrastructure management, or software engineering.
• Experience in incident response, post-incident analysis, and implementing preventive measures.
• Familiarity with observability tools, monitoring, and alerting systems.
• A commitment to balancing reliability concerns with continuous innovation and development