Vendelux · 3 hours ago
Senior Software Engineer - Data
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Responsibilities
Develop, release, and maintain high quality data pipelines, ETL and ELT processes.
Own and guide the development of our data infrastructure.
Develop custom integrations and APIs to automate our data collection, cleaning and enrichment pipelines.
Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge-sharing methods.
Ensure our data is always available by participating in our on-call rotation.
Work with stakeholders including data-ops, product and executives and assist them with data-related technical issues.
Experience with data pipelines and workflow management tools like Dagster or Airflow, data warehouses like Snowflake or Databricks, and Cloud-based infrastructure like AWS, Google Cloud, Azure.
Determine where in our infrastructure we should host data based on the use case and data model.
Collaborate with Data Scientists in order to design scalable implementations of their models.
Identify bottlenecks and implement improvements to our data and engineering processes, and tools. We're early and the expectation of folks joining at this stage is that you'll play a huge part in setting and improving how we work. Our current stack is Python, Dagster, MySQL and Snowflake, but we’re early stage and open to change where it makes sense.
Qualification
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Required
Minimum of 6 years of relevant engineering experience and exposure to working with data, data pipelines and/or machine learning.
Expert level knowledge of python.
Track record of shaping and shipping valuable features.
Track record of driving high-leverage improvements to infrastructure and process.
Judgment to take on technical debt and risk where appropriate.
Strong communication skills, especially written. Our engineering team is remote-first, so a lot of important work happens in chats and documents.
Previous startup experience.
Preferred
DevOps or platform/infrastructure experience (or deep interest).
Experience with ML Ops processes and designing/building/deploying/productizing ML models.
Company
Vendelux
Vendelux is a provider of an event intelligence platform.
Funding
Current Stage
Early StageTotal Funding
$17.15MKey Investors
Tenacity Venture Capital
2023-11-21Series A· $14.05M
2022-10-13Seed· $0.7M
2022-01-28Seed· $2.4M
Recent News
Alumni Ventures
2024-03-25
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