Summary: Join our team as a Senior Data DevOps Engineer with Azure expertise, constructing and optimizing data infrastructure and operational workflows. Highlights: 1. Design and administer scalable data solutions in Azure 2. Collaborate cross-functionally to improve performance and reliability 3. Automate data processing tasks with Python Join our team as a Senior Data DevOps Engineer with Azure expertise, where you will play a key role in constructing and optimizing data infrastructure and operational workflows. You will be responsible for designing and administering scalable data solutions in Azure, collaborating with data engineers and diverse teams to ensure efficient, reliable, and high\-performing data pipelines. We encourage you to apply and contribute to our innovative projects. **Responsibilities** * Develop and manage Azure\-based data infrastructure including ADLSv2, Databricks, Synapse, and Data Factory * Work alongside data engineering teams to create and sustain efficient data pipelines and workflows * Automate data processing tasks with Python to increase operational effectiveness * Establish and maintain CI/CD pipelines using Jenkins, GitHub Actions, or similar tools * Collaborate cross\-functionally to improve performance, scalability, and system reliability * Deploy and manage data tools such as Apache Spark and Kafka across cloud and local environments * Continuously monitor data infrastructure to identify and fix performance bottlenecks * Resolve complex technical challenges related to data platforms and pipelines **Requirements** * At least 3 years’ experience in Data Engineering or related disciplines * Strong Python skills with expertise in batch processing workflows * Advanced knowledge of SQL for large data sets querying and management * Extensive experience with Azure cloud services for data infrastructure * Hands\-on experience with Infrastructure as Code solutions including Ansible, Terraform, or CloudFormation * Skillful in setting up and managing CI/CD pipelines via Jenkins, GitHub Actions, or equivalent * Experience with data tools like Spark, Airflow, or R for processing and workflow management * Comprehensive knowledge of Linux OS with scripting and system management capabilities * In\-depth understanding of network protocols such as TCP, UDP, ICMP, DHCP, DNS, and NAT * Excellent English communication skills, both written and spoken, at B2\+ level **Nice to have** * Familiarity with AWS or GCP cloud platforms * Experience with Kubernetes for orchestration of data workflows * Knowledge of monitoring tools like Prometheus, Grafana, or Azure Monitor * Exposure to Big Data technologies and enhanced data analytics workflows * Experience with cloud data governance and security standards