Senior Staff Data Engineer

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Requirements:

• Requires 12+ years of related experience in data engineering.
• Bachelor's degree in Computer Science; or a Master's degree with equivalent experience.
• Extensive experience in developing end-to-end data engineering infrastructure for large-scale applications.
• Proven leadership in guiding technical teams to innovative outcomes.
• Mastery of data engineering architecture, frameworks, and processing including Hadoop, Databricks, Python, and PySpark.
• Comprehension of software engineering principles and collaborative development workflows.
• Experience with cloud platforms (AWS, Azure, GCP) and cloud-native services.
• Track record of integrating DevOps practices and CI/CD pipelines.
• Strong problem-solving skills and communication abilities.

Responsibilities:

• Set strategic vision and implement cutting-edge data infrastructure roadmap.
• Provide technical leadership, mentoring, and guidance to data engineers.
• Translate model requirements into optimized data pipelines with data quality assurance.
• Establish best practices for model versioning, experiment tracking, and evaluation.
• Engineer automated CI/CD pipelines for seamless deployment and monitoring.
• Define and refine performance benchmarks, optimizing data infrastructure.
• Collaborate with various teams to design, develop, and test major software and data systems components.
• Drive strong data engineering practices and remain at the forefront of industry trends.