Project description:A tech firm revolutionizing scientific research by integrating lab instruments, software, and data apps in biopharma, fostering accelerated discoveries.Responsibilities:* 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 requirementsand 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.Mandatory requirements:* 8+ Sr. Engineer > 5 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.* Intellectually curious unwavering drive to learn more every day.* Ability to think creatively about how to solve projects risks.* Experience with Snowflake, Lakehouse, and Databricks architecture.Good to have: * Graduate degree in Chemistry, Biology, Computer Science, Statistics, Public Health, etc.Tech stack:* Databricks* AWS* AWS REDSHIFT (hands-on experience required)* ECS* S3* Athena* RDS* ETL/ATL (Airflow)Python:* Python Pipelines Jobs* Python 3+DB/SQL:* SQL/TSQL* Databases MySQL, MariaDB, Aurora, PostgreSQL, ±MS SQL* Key-Value Databases* Non relational DBS
