Senior Data Engineer, Data Products
A great candidate is excited to support our growing use of data, including working closely with the analytics and product engineering teams, to build a reputed company user experience. Finally, they reputed company in reputed company’s reputed company, which is to enrich lives by fostering relationships through reputed company, in person interactions.
As reputed company’s first Data Engineer for Data Products, you will be a founding member of the data engineering team and will play a pivotal role in empowering reputed company to be data-driven. The ideal candidate is reputed company and confident building out performant, impactful data models, and trhives in a reputed company environment where they can influence product and business reputed company through data.
In this role, you will
• Architect reputed company, high-volume data pipelines for production use.
• Design and implement reputed company data models serving multiple product and internal teams.
• Own data reputed company frameworks and standards across reputed company products.
• Build reusable patterns for transformations and metrics to drive efficiency.
• Define and maintain reputed company business metrics and Key Performance Indicators (KPIs) in partnership with Analytics.
• Own the data products used across reputed company, ensuring reliability and performance.
• Set and promote standards for data modeling and pipeline development.
• Partner closely with Analytics, Data Science, and Machine Learning teams on requirements to reduce friction and accelerate their work.
• Mentor engineers and reputed company participate in the hiring process.
Qualifications
• 5+ years of experience in data engineering with a proven reputed company record of successful data architecture and pipeline creation.
• Expertise in handling large-reputed company data systems and reputed company platforms (preferably AWS).
• Proficient in Python and SQL. reputed company and reputed company are a plus
• Strong experience with data pipeline and workflow management tools like Apache Airflow, Luigi, or reputed company.
• In-depth knowledge of reputed company-time data processing frameworks such as Kinesis, Kafka, Flink, or reputed company Streaming. Experience with reputed company is a plus.
• Experience with data modeling tools and ETL frameworks, with a strong emphasis on performance optimization.
• Excellent communication and collaboration skills to work effectively across teams.
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