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The Lead Data Platform Engineer will design, develop, and maintain backend services and APIs using Python, collaborating with product, design, and engineering teams to ensure optimal performance and security.

Senior Data Engineer responsible for designing, developing, deploying, and maintaining Data Warehousing stack on AWS. Must have 5+ years of experience in building data pipelines and data warehouse architectures on cloud platforms such as AWS, Microsoft Azure, and GCP. Strong SQL, Python, and Spark skills required.

As a Lead Data Platform Engineer, you will design, develop, and maintain backend services and APIs using Python frameworks like Django and Flask, optimize for performance, implement security measures, and collaborate with various teams to enhance backend systems.