Mid Data Engineer (Confluent / Spark)

Job Description:

We are seeking a skilled Data Engineer with a focus on Data Streaming to join our advanced data engineering team. The ideal candidate will have hands-on experience with modern data streaming technologies and strong programming skills.

Responsibilities:

• Design, develop, and maintain data streaming pipelines (including CDC and other source extractions).

• Implement and optimize solutions using Confluent and Spark Structured Streaming.

• Collaborate with cross-functional teams to deliver high-quality data engineering solutions.

• Apply data engineering best practices, including versioning, release management, and deployment.

• Support Agile development processes and integrate with tools such as GitHub Actions, Terraform, Kubernetes.

Requirements:

• Strong proficiency in data streaming technologies (CDC, Confluent, Spark Structured Streaming).

• Programming experience in Python, SQL, Bash, Node.js and working knowledge of Linux/Unix Shell.

• Hands-on experience with data engineering practices (versioning, release management, deployment).

• Familiarity with Agile methodologies and software tools like GitHub Actions, Terraform, Kubernetes.

• Mid-level experience in data engineering, with the ability to work independently and in a team environment.

• We are looking for candidates available to start immediately