DataOps

Position: DataOps Employment: full-time Company: LLC "7 Red Lines" Work format: remote Employment contract: Labor Code of the Russian Federation Salary: discussed upon completion of the interview Contact information Telegram: recruiter contact About the company 7 RED LINES is a next-generation AI integrator. Since 2016, we have been implementing complex IT projects for large companies, and today we are actively developing the AI, Data, and intelligent automation areas. Responsibilities • Develop and maintain IT infrastructure, ensure system stability and fault tolerance. • Configure and support CI/CD processes, automate service deployment and operation. • Work with containerization and orchestration based on Docker and Kubernetes. • Automate infrastructure and operational tasks using Ansible, Bash, and Python. • Administer databases, ensure backup, recovery, and monitoring. • Support and optimize data loading, transformation, and processing (ETL) processes. • Participate in the development of data warehouses (DWH) and data marts. • Configure monitoring, alerting, and diagnostics for infrastructure and services. • Analyze and resolve performance, loading, and data processing issues. • Use AI tools and AI agents to automate routine DevOps tasks and improve work efficiency. Our expectations • At least 4 years of experience in DevOps and/or Data Engineering with practical skills in both areas. • Proficient in Linux (Ubuntu/Debian, CentOS/RHEL). • Experience with Docker, Kubernetes, and Helm. • Practical experience with Ansible and GitLab-based CI/CD. • Automation skills using Bash and Python. • Proficient in SQL and experience with PostgreSQL. • Experience with one or more DBMS: PostgreSQL, ClickHouse, Greenplum. • Understanding of data warehouse (DWH) construction principles and ETL process organization. • Experience with Apache NiFi and/or Apache Airflow. • Experience configuring monitoring and alerting (Grafana, Prometheus, or similar). • Understanding of network technologies and protocols TCP/IP, HTTP, DNS. • Ability to independently solve technical problems and interact with the project team. Would be a plus • Practical experience in developing ETL processes, data warehouses, and data marts. • Experience with Python libraries SQLAlchemy and Pandas. • Familiarity with Arenadata products (ADB, ADS, ADH). • Experience with Hadoop, PySpark, or Apache Kafka. • Experience with Terraform and OpenStack. • Experience configuring high-availability and scalable systems. • Understanding of Data Quality principles and experience in automating data quality checks. • Practical experience using AI/LLM tools and AI agents for automating engineering tasks.