Engineering Manager, Data & Analytics

📋 Description

• Own the technical direction and evolution of large-scale real-time and batch analytics systems.
• Scale streaming workloads built on technologies such as Kafka and Spark Streaming.
• Evolve analytical and data-processing workloads across Snowflake, HDFS, and object storage.
• Support real-time, scheduled, ad-hoc, and log-level reporting at advertising scale.
• Drive improvements in scalability, reliability, performance, data quality, and infrastructure
• Modernize components of the existing ecosystem while protecting business-critical workloads.

🎯 Requirements

• 10+ years of engineering experience with significant experience leading and managing engineering
• Proven experience hiring, mentoring, developing, and growing engineers and technical leaders.
• Strong technical background in large-scale distributed data and analytics systems.
• Hands-on architectural understanding of Kafka, Spark/Spark Streaming, Snowflake, HDFS, and object
• Deep understanding of streaming, batch processing, distributed computing, data modeling, and
• Experience operating and evolving high-throughput, business-critical production systems.

🎁 Benefits

• Paternity/maternity leave
• Healthcare insurance
• Broadband reimbursement
• Kitchen loaded with healthy snacks and drinks
• Catered lunches