Data Ops Engineer

This role focuses on ensuring the reliability, efficiency, and scalability of data pipelines and infrastructure. The Data Ops Engineer will be responsible for automating data processes, monitoring system performance, and collaborating with various teams to deliver high-quality data solutions.

Key Responsibilities:

Design, build, and maintain robust data pipelines.
Automate data operations tasks to improve efficiency.
Monitor data infrastructure performance and troubleshoot issues.
Collaborate with data scientists, engineers, and analysts to meet data needs.
Implement data quality checks and ensure data integrity.
Optimize data storage and retrieval processes.
Contribute to the development of data governance policies.

Requirements/Qualifications:

Experience in data operations or a related field.
Strong understanding of data warehousing concepts.
Proficiency in scripting languages (e.g., Python, Bash).
Experience with cloud platforms (e.g., AWS, Azure, GCP).
Familiarity with data pipeline tools (e.g., Apache Kafka, Apache Spark).
Excellent problem-solving and communication skills.
Ability to work independently and as part of a team.