Senior Data Operations Engineer

If you are a highly motivated and results-driven individual with a passion for data operations, we would love to hear from you! Join our team and be a part of a dynamic, innovative, and collaborative work environment where your ideas and contributions are valued and recognized.

Position: Senior Data Operations Engineer

Location: San Francisco, California, United States

Salary: $228000 - $256000

Overview: We are seeking a highly skilled and experienced Senior Data Operations Engineer to join our dynamic and growing team. As a Senior Data Operations Engineer, you will play a critical role in managing and maintaining our data infrastructure. You will be responsible for ensuring the smooth operation, performance, and scalability of our data systems. Your expertise and technical knowledge will be essential in optimizing our data processes and workflows to support the needs of our business.

Key Responsibilities:

• Design, develop, and implement data operations strategies and processes to support the organization's data needs.
• Collaborate with cross-functional teams to understand data requirements and implement solutions that meet business objectives.
• Develop and maintain data pipelines and workflows to ensure efficient and accurate data processing.
• Troubleshoot and resolve data quality issues, ensuring data accuracy and consistency.
• Monitor and manage data storage, ensuring optimal performance and scalability.
• Identify and implement improvements to data infrastructure, systems, and processes to enhance efficiency and reliability.
• Work closely with data analysts and scientists to support data analytics and reporting needs.
• Develop and maintain documentation for data systems, processes, and workflows.
• Stay up-to-date with industry best practices and emerging technologies in data operations and recommend innovative solutions to improve efficiency and effectiveness.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Minimum of 5 years of experience in data operations, data engineering, or a related role.
• Strong experience with data processing and ETL tools such as Spark, Kafka, and Airflow.
• Proficiency in SQL and database technologies such as MySQL, PostgreSQL, or MongoDB.
• Experience with cloud data platforms such as AWS, Azure, or Google Cloud.
• Familiarity with data warehousing concepts and technologies.
• Strong understanding of data management and governance principles.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities.