Anagenex
Anagenex is an innovative biotechnology company that specializes in AI-driven drug discovery. By harnessing vast datasets, Anagenex accelerates the design and testing of millions of drug candidates to identify potential therapies for various diseases. Their advanced methodologies aim to transform the lengthy drug development process, enabling faster delivery of medicines to patients in need.
11 - 50 employees
Founded 2019
🧬 Biotechnology
🤖 Artificial Intelligence
💊 Pharmaceuticals
💰 $30M Series A on 2022-06
Senior Data Engineer - Remote
March 28
Anagenex
Anagenex is an innovative biotechnology company that specializes in AI-driven drug discovery. By harnessing vast datasets, Anagenex accelerates the design and testing of millions of drug candidates to identify potential therapies for various diseases. Their advanced methodologies aim to transform the lengthy drug development process, enabling faster delivery of medicines to patients in need.
11 - 50 employees
Founded 2019
🧬 Biotechnology
🤖 Artificial Intelligence
💊 Pharmaceuticals
💰 $30M Series A on 2022-06
📋 Description
• We are looking for a savvy Data Engineer to join our growing team of data experts. • The hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. • Build and deploy the data pipelines that power Company’s machine learning platform. • Develop warehouse architectures that integrate data from diverse sources. • Design analytics solutions for both product development and internal collaborators.
🎯 Requirements
• A minimum of 1 years experience in data engineering, analytics engineering, or software engineering with an emphasis on large scale data management and processing systems. • Proficiency in Python and advanced SQL. • Advanced experience with ETL pipelines, data modeling and managing data warehouses (Snowflake, BigQuery, Redshift, etc). • Experience with SQL RDBMS such as MySQL, Postgres, Oracle, SQL Server, etc., as well as NoSQL systems such as MongoDB is required. • Experience with tools including Meltano, dbt, Airflow, and Superset is required. • Experience with Docker, Git and AWS (EC2, ECS, S3, Step Functions, and Athena). • Analytics and Business Intelligence knowledge is highly preferred. • Experience working with common SaaS APIs (such as CRMs) is preferred.
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