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Lead Software Engineer - Data Orchestration - Remote Eligible
Build a highly scalable ingestion platform to efficiently acquire high-quality data.
Atlanta
Senior
4 weeks ago
Screenhero
Collaborative Screen Sharing — you each get your own mouse, and…
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✨ About The Role
- The Lead Software Engineer will be responsible for developing and maintaining real-time analytics and low-latency data access layers built on modern OLAP solutions.
- The role involves optimizing the end-to-end workflow for data users at Slack, including crafting libraries and scheduling data pipelines.
- Improving data quality and reliability through effective monitoring and failure detection will be a key responsibility.
- The engineer will collaborate with cross-functional partners and lead technical initiatives from start to finish.
- Mentoring and coaching other engineers across the organization will be an important aspect of the role.
⚡ Requirements
- The ideal candidate will have over 5 years of experience in data engineering or data infrastructure, demonstrating a proven ability to lead complex solution designs and implementations.
- A strong background in real-time analytics and low-latency data access layers, particularly with OLAP stores, is essential for success in this role.
- Experience with orchestration tools like Airflow and cloud infrastructure, preferably AWS, is highly valued.
- The candidate should possess extensive knowledge of building and maintaining large-scale ETL pipelines and various big data frameworks.
- Strong problem-solving skills and the ability to drive high-value initiatives while managing multiple tasks effectively are crucial.
About Screenhero
Collaborative Screen Sharing — you each get your own mouse, and…