Intern, Cloud Data Management
Emeryville, CA
Applications have closed
Berkeley Lights
The cloud data management intern will play a pivotal data engineering role in the evaluation, development, and deployment of the Berkeley Light platform data analytics pipeline. Berkeley Lights is looking for an ambitious intern to contribute to managing the data generated by our unique software that drives our opto-nanofluidic systems capable of single-cell manipulation and annotation! Currently, we have the capability to interrogate and manipulate tens of thousands of single cells in a completely automated fashion, and we are developing multiple platforms with unique capabilities to enable our customers to discover new drugs and practice biology in novel ways.
As a cloud data intern, you will be responsible for designing the data extraction, ingestion, transformation and loading of data into cloud data stores. You will help define the necessary schemas, table structures as well as interfacing the data with analytics platforms.
In addition to developing the data pipeline, you will assist with data migrations as we implement new platforms, retire legacy systems or onboard new processes/user groups into our enterprise systems.
Responsibilities:
- Responsible for the development of a data integration pipeline including the design of middleware, use of staging tables, combining disparate data sources and formats.
- Extract, transform and load (ETL) of data from flat data files generated by our platform instrumentation software to cloud datastores.
- Automate data preparation for use with data warehouses, data lakes, analytics, and machine learning.
- Write serverless functions (e.g. AWS Lambdas) as part of our data analysis pipeline.
- Provide guidance on analysis and interpretation of high-dimensional data, including genomic, transcriptomic, and proteomic datasets.
- Enable a team of world class scientists and experienced data analysts to turn data into actionable insights. These insights can lead to the next vaccine or cell therapy that change the world!
Qualifications:
- Experienced with programming (C#, Python, R)
- Familiarity with database design; preferably both relational and non-relational (NoSQL).
- Comfortable with on premises local databases (PostgreSQL, MySQL, SQLite MS SQL Server) as well as some familiarity with cloud database services (DBaaS; Amazon RDS, DynamoDB, MongoDB, MS Azure).
- Experienced with cloud services (preferably AWS).
Desired:
- Experience with big data query using Amazon Athena.
- Familiarity with desktop data analytics software (e.g. Tableau, Spotfire) as well as data visualization using scripting languages and tools (e.g. Plotly, Seaborn, GGplot, Esquisse).
- A passion for big data and the visual display of quantitative information.
- Python, R: grammar of graphics Familiarity with software development in C#/.NET, SQL, REST APIs, JavaScript, React.
Tags: APIs Athena AWS Azure Big Data Biology Data analysis Data Analytics Data management Data visualization DynamoDB Engineering ETL JavaScript Machine Learning MongoDB MS SQL MySQL NoSQL Plotly PostgreSQL Python R React Research Seaborn Spotfire SQL Tableau
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