Data & AI Engineer

📋 Description

• Lead the architectural design and implementation of cloud-native distributed, high-throughput batch
• Optimize distributed execution engines to handle petabyte-scale datasets under strict SLAs.
• Implement and collaborate on Infrastructure as Code (IaC) to provision data platform assets across
• Establish zero-trust security controls, data lineage tools, and automated compliance scanning for
• Design and manage ETL/ELT pipelines using cloud-native, Google services such as Cloud Storage
• Understand big data processing frameworks for large-scale data sets such as Apache Spark.

🎯 Requirements

• Bachelor's degree in computer science or a related field (or equivalent practical experience)
• 4+ years of data engineering experience.
• 4+ years of experience in architecting data structures for model grounding and engineering
• 4+ years of experience with Python, Scala, SQL, and Go for high-performance data platform
• 4+ years of experience with distributed systems internals, LMS trees, column-family stores, and
• 4+ years of experience with Kubernetes cluster management, custom operators for data platforms, and

🎁 Benefits

• Preferred Qualifications: Active Google Cloud Professional Certification (e.g., Data Engineer, ML
• Preferred Qualifications: Proven track record architecting data solutions for deployment in
• Preferred Qualifications: Experience with GCP security/compliance products (Security Command
• Salary range: Mid Level: $120,000.00 - $160,000.00; Senior Level: $160,000.00 - $190,000.00 based