Key skills
PythonScalaSparkGoogle Cloud PlatformBigQueryData EngineeringData Pipeline DesignSystem OptimizationData ScienceMachine LearningAutonomyAIGCPGoogle CloudSaaSCustomer Success
About this role
Eagle Eye is an AI driven retail technology SaaS company powering personalized promotions and loyalty programs for leading global brands. In this role, you will be responsible for deploying, operating, and continuously improving data-driven platforms for enterprise clients while ensuring system performance and reliability.
Responsibilities:
- Integrate client data pipelines into our data stack
- Deploy and configure our platform for new clients
- Ensure data quality, consistency, and reliability across incoming and outgoing data flows
- Investigate and resolve technical tickets related to data pipelines, system performance, and algorithm behavior
- Act as a technical escalation point for Customer Success teams
- Diagnose root causes, propose fixes, and ensure long-term prevention of recurring issues
- Analyze system and algorithm performance using metrics, logs, and experimentation
- Identify opportunities to optimize data pipelines, processing logic, and algorithm configurations
- Collaborate with Product and Data Science teams to prioritize and roll out improvements
- Design and analyze A/B tests to measure the impact of changes
Requirements:
- 3-5 years of experience as a Data Engineer or Data Solutions Engineer in a production-heavy environment
- A bachelors degree in Computer Science, Data Engineering, or a related field
- Deep hands-on experience with Python and/or Scala
- Proven expertise using Spark for large-scale data processing
- Practical experience building and managing data stacks within Google Cloud Platform (GCP) and BigQuery
- A solid foundation in data engineering principles, including data pipeline design and system optimization
- A working knowledge of Data Science and Machine Learning concepts to help bridge the gap between data flows and algorithm performance