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Job Description & How to Apply Below
Step into a Senior Data Engineer role, where you’ll lead the integration of AI into data architecture. Focus on building and optimizing data pipelines in an agile setting.
This is a strategic position in which you will develop and support high-quality datasets that enhance product experiences. Your technical prowess will enable you to design reliable streaming pipelines while leading initiatives that incorporate AI for operational improvements. Highlighting your strong communication skills, you’ll articulate the value of engineering decisions across teams.
Key Responsibilities:
• Construct and optimize streaming data pipelines
• Model production-grade datasets for real estate products
• Strengthen data quality through effective monitoring
• Use AI to enhance data operations and workflows
• Explain complex engineering choices to stakeholders
Requirements:
• 6+ years of experience in data engineering
• Distribution processing expertise with Spark and Kafka
• Python proficiency;
Node/Type Script familiarity advantageous
• AWS data pipeline and tooling experience required
• Extensive knowledge of data modeling and large datasets
Shape data solutions that forge ahead with AI integration while enjoying a collaborative work atmosphere.
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