Teams at LigaData

Build and maintain scoped Python backend features and AI workflows involving language-model integration, data preparation, testing, evaluation, logging, and deployment support. The role includes API integrations, dataset validation, Docker-based development, CI checks, debugging, documentation, and code reviews under senior mentorship. Responsibilities also include following security and data-handling practices while developing reliable AI applications and gradually taking on broader implementation and debugging ownership.

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.