Senior Data Operations Engineer

November 21

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dentsu Austria

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51 - 200 employees

Founded 1900

🤝 B2B

📱 Media

🏢 Enterprise

Description

• Seeking a highly skilled and experienced Senior Data Operations Engineer to join a dynamic team. • Involves managing Data ETL processes, building and maintaining data assets, and supporting data append systems. • Execute and manage ETL processes ensuring timely delivery, data integrity, and availability. • Provide technical support and troubleshooting for data append systems, ensuring seamless integration and data accuracy. • Identify, diagnose, and resolve data-related issues promptly to minimize downtime and ensure data quality. • Collaborate with data engineers, business partners, delivery teams, and other stakeholders. • Maintain comprehensive documentation of data processes, workflows, and system configurations. • Identify opportunities for process improvements and implement best practices to enhance data operations efficiency.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. • Minimum of 5 years of experience in data engineering or data operations, with a proven track record of managing complex data systems. • Proficiency in SQL, Snowflake, Python, and Atlassian. • Strong analytical and problem-solving skills with the ability to troubleshoot and resolve data issues effectively. • Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders. • Ability to work collaboratively in a team environment and manage multiple priorities in a fast-paced setting.

Benefits

• A range of medical • dental • vision • 401(k) matching • paid time off