Backend Software & Data Engineer
Role details
Job location
Tech stack
Job description
Development of the backend of our Advanced Data Analytics Platform, based on Python, Django and AWS, using Websockets, Async views, Celery, Airflow, Docker Microservices, Redis, AWS Lambdas, AWS Cognito, SageMaker, Redshift, + a lot more.Development of our own libraries for automated data collection, including scrapping websites with our own ethical scrapping library.Database modeling and design. (PostgreSQL, Redshift, S3, AWS EMR, Google BI engine).AWS architecting and deployments with Docker, AWS Lambda, AWS API Gateway, AWS SQS, + a lot more.RequirementsStrong background in Computer Science, Physics, Math, Engineering, or equivalent.Hands on experience with Python and SQL.Extra kudos for any experience with: Django, PostgreSQL, AWS, GCP, Redis, Microservices, Docker, Airflow, etc.Extra kudos for any experience with other backend frameworks, cloud computing or data engineering in general.Life at PrenomicsWork with state-of-the-art technologies: Angular11, lit-html, Python, AWS, Redshift, Spark, SciKit Learn, Tensorflow, and others.Unlimited supply of de/caffeinated and non/sugary beverages, cereals and fruit.Weekly hours devoted to learning and discussing new technologies.Join an innovative data science startup with several ongoing awesome projects.#J-*****-Ljbffr
Requirements
Strong background in Computer Science, Physics, Math, Engineering, or equivalent. Hands on experience with Python and SQL. Extra kudos for any experience with: Django, PostgreSQL, AWS, GCP, Redis, Microservices, Docker, Airflow, etc. Extra kudos for any experience with other backend frameworks, cloud computing or data engineering in general.