Offer summary

Qualifications:

Minimum 4 years of engineering experience, Expertise in Python, Familiarity with modern data and ML tools, Knowledge of distributed systems, Design for scale and fault tolerance.

Key responsabilities:

Enhance Python based ingestion framework

Build connectors for modern data systems

Enable ingestion framework for cloud environment

Founded by the leaders who built data teams at LinkedIn and Airbnb, Acryl Data enables you to take back control of your fragmented data stack. We do this by driving the #1 open source Metadata Platform DataHub, which has a community of 10,200+ data practitioners and is deployed in 1,000+ companies.Acryl DataHub is a third-generation streaming metadata platform that integrates with 50+ tools (dbt, Kafka, Snowflake, Airflow, Looker, etc) in the data stack to enable data discovery, data lineage, data governance, and data observability.✅ Connect to your data sources within minutes, and gain end-to-end visibility. ✅ Power mission-critical workflows with a SOC-2-compliant platform.✅ Bring data and business teams together with a single source of truth to create governed data products.Powering data teams at Notion, Zendesk, Riskified, and many more!

Job description

At Acryl Data, we bring clarity to data by enabling delightful search and discovery, data observability, and federated governance across your entire data ecosystem.

Acryl Data is well funded by top tier VCs (8VC, LinkedIn), and is dedicated to building and serving a thriving open source community and product.

In this role, you will

Enhance the Python based ingestion framework to support ingesting usage statistics, lineage and operational metadata from systems like Snowflake, Redshift, Kafka, & more!
Build connectors for major systems in the modern data and ML stacks
Enable the ingestion framework to run in a cloud native environment

Requirements: