Data Engineer

Short company description

Euro-Testing Software Solutions is involved in software consulting, having experience of approx. 20 years on the market in Romania and abroad, through specific IT solutions and services offered in the following areas:

• Software Testing (manual testing, testing automation, performance testing, outsourcing, training and certification, etc.)

• Cyber ​​Security

• DevOps/DevSecOps

• Implementation and Customization of Atlassian & OpenText products (MicroFocus) and other niche products/solutions

• AI based Decision Intelligence solutions.

Requirements

• Bachelor’s or Master’s degree in computer science, Engineering, or a related technical field.
• Minimum 3 years of experience in Data Engineering , Data DevOps, or a relevant field, preferably in the banking or telecommunications industry.
• Advanced knowledge in specific Data Engineering technologies: Spark, Hadoop, Hive, Python, R, Databricks, Kafka, Debezium, Golden Gate (2 or more preferred).
• Strong understanding of networking and microservices architectures like Kubernetes/EKS/OpenShift.
• Experience with Cloud architecture and Big Data solutions, particularly with Databricks and AWS.
• Automation & CI/CD tools (Git, Jenkins/Github Actions, Ansible/Terraform, Shell/Python).
• Excellent problem-solving skills with the ability to collaborate effectively with various teams.
• Professional certifications would be a plus, especially if you have practical experience with the technologies.
Preferred Qualifications:
• Experience in the banking or telecommunications industry.
• Proficient in Linux, with advanced system management and shell scripting skills.
• Knowledge of Service Management and software development methodologies.
• Professional certifications in relevant technologies or practices.

Responsibilities

• Design, implement, manage, and monitor end-to-end IT solutions for Advanced Analytics and Data Replication (CDC) platforms.
• Ensure the seamless operation of services within SLA performance parameters, with a focus on Databricks and cloud-based solutions.
• Innovate and optimize IT services and systems, emphasizing cloud solutions such as Databricks and AWS.
• Implement Data Products in a Data Mesh architecture.
• Support and maintain existing applications, ensuring they are running efficiently and effectively.
• Work closely with the Data team to transition data pipelines into optimized production-ready states for various workflows.
• Administer and manage Data environments, tech stack, and traditional databases.
• Implement automation and CI/CD practices using tools such as Git, Jenkins/GitHub Actions, and Ansible/Terraform.
• Participate in diagnosing and solving complex problems, documenting configurations to maintain best practices across IT infrastructure.

Other info

This role focuses heavily on developing, maintaining, and optimizing our data infrastructure, particularly in Databricks and cloud environments, while supporting existing applications.