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Senior Data Integration Engineer
3 weeks ago
Key Role Responsibilities:
- Design and develop large-scale data pipeline solutions to integrate multiple internal and external data sources, driving business growth through strategic initiatives like public claims and Ads partner integrations.
- Provide continuous technical support for viewership metrics initiatives and manage YouTube data feeds, ensuring seamless integration and high-quality data delivery.
- Guarantee the technical success of YouTube viewership data integrations, offering expert guidance and detailed documentation to stakeholders.
- Identify and optimize new third-party reporting opportunities using advanced YouTube technologies and analytics tools.
- Develop and maintain efficient ETL pipelines in languages like Python and C++, adhering to industry best practices and ensuring scalability.
Essential Qualifications and Skills:
- Bachelor's degree or equivalent practical experience in a related field.
- Minimum 3 years of experience coding in one or more programming languages, with a strong focus on data-driven projects.
- Minimum 3 years of experience working with data infrastructure and designing complex data pipelines for system integration, with expertise in data modeling and exploratory querying.
- Minimum 3 years of experience with managing internal and external data stacks, including systems like Flume, DataFlow, and Spark, with a strong understanding of data architecture and design patterns.
- Preferred: Experience with statistical tools, BI tools (e.g., Tableau, Power BI), and Machine Learning for production workflows, with a proven track record of delivering results-driven projects.
What We Offer:
A dynamic work environment that fosters innovation, collaboration, and professional growth. Join a talented team of experts who share your passion for data-driven insights and technology advancements.