Junior Data Platform Engineer

LigaData, Inc.

UT

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Ansible, Apache Hadoop, Apache Hive, Apache Spark, Artificial Intelligence (AI), Automation, Bash Scripting, Big Data, Chef (Configuration Management), Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, DevOps, Distributed Computing, GCP (Good Clinical Practices), Git, GitHub, Jenkins, Linux Operating System, Microsoft Windows Azure, Operational Improvement, Problem Solving Skills, Product Engineering, Puppet (Configuration Management), Python Programming/Scripting Language, Reliability Engineering, Scripting (Scripting Languages), Source Code/Configuration Management (SCM), Systems Administration/Management, Testing, Unix Operating Systems
LOCATION
UT
POSTED
27 days ago

About the Role: Were looking for a Junior Engineer to join our product engineering team. Youll work alongside senior engineers to build, automate & deploy LigaData Data Platform products. This is a hands-on role ideal for someone early in their career who wants to grow in data engineering, infrastructure, and DevOps. Key Responsibilities

Assist in the deployment, configuration, and maintenance of LigaData Big Data platform Support the setup and management of clusters across on-premise and/or cloud environments Develop and maintain automation scripts to streamline deployment, provisioning, and routine operational tasks Build and improve CI/CD pipelines for platform components and data jobs Assist in troubleshooting issues, and help resolve incidents Document deployment procedures, configurations, and runbooks Collaborate with infrastructure engineers, deployment teams and operations teams to improve platform reliability and performance

Required Qualifications

Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience) Basic understanding of Big Data concepts and distributed systems Familiarity with at least one scripting language (Python, Bash, or similar) Foundational knowledge of Linux/Unix environments Knowledge of Kubernetes and container orchestration concepts Familiarity with AI coding tools (e.g., GitHub Copilot, Claude, Cursor) to support development and automation Strong problem-solving skills and willingness to learn

Preferred Qualifications

Exposure to version control (Git) Exposure to Big Data tools (Hadoop, Spark, Kafka, Hive, or similar) Familiarity with automation/configuration tools (Ansible, Terraform, Puppet, or Chef) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions)

About the Company

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LigaData, Inc.