Teams at LigaData

Supports the development, maintenance, monitoring, and troubleshooting of ETL/ELT pipelines and Big Data workloads. Responsibilities include SQL development, data validation, quality checks, workflow automation, production monitoring, anomaly analysis, and collaboration with engineering, DevOps, QA, database, and analytics teams. The role uses Hadoop, Spark, Airflow, Kafka, Kubernetes, Python, Shell scripting, and various data formats while contributing to code reviews, documentation, and continuous improvement.

Administer and optimize Linux systems, databases, container platforms, and Hadoop-based Big Data environments. Automate infrastructure operations with Bash, Python, Ansible, APIs, and AI-assisted tools. Manage monitoring, troubleshooting, performance tuning, replication, high availability, disaster recovery, security integrations, upgrades, and production support across distributed systems. Collaborate with technical teams, conduct root cause analysis, and maintain operational documentation.

Build and evolve full-stack web applications, REST APIs, service layers, and React-based interfaces for real-time data platforms. Develop Python and FastAPI services, work with relational databases, authentication, dashboards, and messaging integrations. Contribute to GenAI features including streaming LLM chat, MCP tool calling, and metadata enrichment. Use AI coding assistants responsibly, collaborate with senior engineers, troubleshoot in Linux, participate in Agile development, and deliver maintainable, tested code.