Platform Engineer

POSITION SUMMARY

We are seeking a talented Data Platform Engineer to design, build, and manage data pipelines leveraging Apache Airflow. In this role, you will work with Python-based DAGs, orchestrate workflows on Kubernetes, and enable seamless integration across on-premises and AWS cloud environments.

EXPERIENCE AND REQUIRED SKILL SETS

• 3–6 years of experience in data engineering or platform engineering.

• Strong hands-on expertise with Apache Airflow and Python.

• Solid understanding of Kubernetes and container orchestration.

• Proven experience working with hybrid infrastructure (on-premises + AWS).

• Familiarity with CI/CD practices and infrastructure-as-code tools (e.g., Terraform) is a plus.

• Strong problem-solving skills with the ability to work independently.

Nice to Have

• Experience with Terraform.

• Knowledge of networking concepts.

• Familiarity with GitLab.

• Experience using Helm for Kubernetes application management.

RESPONSIBILITES

• Design, develop, and maintain scalable data pipelines using Apache Airflow and Python.

• Deploy, configure, and manage Airflow on Kubernetes clusters.

• Integrate and orchestrate workflows across hybrid infrastructure (on-premises and AWS).

• Collaborate closely with data engineers, analysts, and DevOps teams to ensure reliable and efficient data flow.

• Monitor, troubleshoot, and optimize pipeline performance, reliability, and scalability.