Engineering Manager
Tasks
- Build real-time and batch pipelines
- Collaborate with product, business, and data science teams
- Define data platform strategy and roadmap
- Design fault-tolerant distributed systems
- Drive adoption of new data platform technologies
- Ensure project quality scalability and timely delivery
- Establish software development deployment and monitoring best practices
- Implement data ingestion processing and analytics
- Lead and mentor engineering team
- Manage incident response and incident management
- Provide architectural guidance and hands on coding
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amundsen | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Batch Processing | Cloud platform | Data Governance | Data Processing | Datahub | Distributed Systems | Docker | ETL | Event Driven | Event-driven architecture | Go | Google Cloud | Google Cloud Platform | Kubernetes | MLflow | Microsoft Azure | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Scala | TFX | Terraform
Education
N/A
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