Data Operations Engineer II

Bachelor’s degree in Computer Science, Information Technology, or a related field.
Minimum of 3-5 years of professional experience in data operations, scripting, and automation.
Advanced proficiency in scripting languages such as Python, PowerShell, or similar.
Proficiency in Object-Oriented Programming (OOP) languages such as C++, Java, or similar.
In-depth understanding of data processing concepts and data integration tools.
Experience managing relational databases such as SQL.
Experience working with cloud platforms (e.g., AWS, Azure, GCP).
Exceptional analytical and problem-solving skills with meticulous attention to detail.
Excellent communication skills with the ability to collaborate effectively within a team environment.
Ability to adapt to changing priorities and manage multiple tasks simultaneously.
Proactive mindset with a strong willingness to learn and explore new technologies.
Demonstrated ability to debug systems, tracing issues back to their source.

Develop, maintain, and optimize complex scripts using languages such as Python, Bash, or similar, to automate data collection and monitoring.
Responsible for improving and maintaining data infrastructures and ensuring the reliability and efficiency of data processes.
Build and manage end-to-end monitoring systems and automated alert mechanisms to ensure the health and performance of data pipelines.
Create and maintain comprehensive documentation of scripts, automation and monitoring workflows, data pipelines, and deployment procedures for knowledge sharing and future reference.
Collaborate closely with cross-functional teams, providing support for scripting needs and contributing to the development of an effective automation strategy.