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 workflows, monitoring system performance, and collaborating with data scientists and engineers to optimize data delivery.

Key Responsibilities:

Design, build, and maintain robust data pipelines.
Automate data processing and infrastructure tasks.
Monitor data systems and proactively address performance bottlenecks.
Collaborate with data scientists and engineers to optimize data workflows.
Implement data quality checks and ensure data integrity.
Troubleshoot and resolve data-related issues.
Contribute to the development of data operations best practices.

Requirements/Qualifications:

Experience in data operations or a related field.
Strong understanding of data warehousing and ETL 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 Airflow, Kafka).
Excellent problem-solving and communication skills.
Ability to work independently and as part of a team.