Data Engineer
Company
Solvd
Location
Brazil, Poland, Argentina, Mexico
Type
Full Time
Job Description
- 8+ years in Python and SQL.
- Passionate about science and building solutions to make the data more accessible to end-users.
- Elasticsearch, science background, or experience with scientific instruments.
- Experience with tools like Spotfire, Tableau, Jupyter notebook (any of them).
- Undergraduate degree in Chemistry, Biology, Computer Science, Statistics, Public Health, etc.
- Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
- Quickly understand a highly technical product and effectively communicate with product management and engineering.
- Proactive problem-solving skills.
- High-bandwidth: thrives when managing multiple simultaneous projects.
- Experience with AWS, Databricks, data pipelines, Node Js.
- Intellectually curious unwavering drive to learn more every day.
- Ability to think creatively about how to solve projects risks without.
- Experience with Snowflake, Lakehouse, and Databricks architecture.
- Own, prototype, and implement customer solutions.
- Research and prototype data acquisition strategy for scientific lab instrumentation.
- Research and prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries).
- Design and build data models.
- Design and build Python data pipelines, unit tests, integration tests, and utility functions.
- Build visualization, report, and dashboards using Spotfire, Tableau, Jupyter notebook and etc.
- Work with the customer to test and make sure the solution fulfills their requirements and solves their need.
- Coordinate project kickoff meetings; manage the customer relationship throughout the project, and conduct formal project closeout meetings.
- Facilitate internal project post-mortems to identify areas of improvement on the next implementation.
Date Posted
12/24/2024
Views
0
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