
A Technical Lead Role in Data Engineering
Há 3 dias
We are seeking an accomplished Technical Lead in Data Engineering to elevate our data monitoring system for a key client.
This role focuses on developing robust, scalable, and proactive alerting workflows to ensure high-quality data and reliability across pipelines.
- Design and implement a resilient data monitoring framework to enhance incident detection and reduce false positives.
- Enhance alerting mechanisms for pipeline failures, data anomalies, and data freshness across Snowflake and dbt models.
- Streamline orchestration and dependency management in Airflow to increase reliability and observability.
- Integrate AWS DMS, Kinesis, and Firehose monitoring into our centralized alerting system.
- Collaborate with stakeholders to define SLAs and implement meaningful metrics for data health.
- Document monitoring architecture and ensure knowledge transfer to internal teams.
- Strong understanding of Snowflake architecture, performance tuning, and metadata management.
- Experience creating and maintaining dbt models with test coverage and clear documentation.
- Expertise in managing Airflow DAGs, handling retries, and structuring tasks for reliability and visibility; experience with Astronomer is beneficial.
- Deep familiarity with AWS DMS, Kinesis, and Firehose, especially around monitoring and alerting integrations.
- Experience with data monitoring tools or custom observability frameworks.
The successful candidate will work with autonomy, ownership, and opportunities for growth. We foster an environment of learning, innovation, and challenging projects, where you can deepen your expertise and collaborate with talented professionals.
Our core values include:
- Customer First Mentality
- Bias for Action
- Ownership
- Humility and Respect
- Frugality
- Deliver Impact
- Raise our Standards
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