Backend Software & Data Engineer

Prenomics

Spain

15 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.buscojobs.com.es

Tech stack

HTML Airflow Amazon Web Services Amazon S3 Cloud Computing Information Engineering Django Web Framework Python (Programming Language) PostgreSQL Microsoft Message Queuing Redis Tensorflow

+14 more

WebSocket Google Cloud Apache Spark AWS Lambda Backend Scikit Learn Information Technology Data Analytics Celery Api Gateway Amazon Elastic Mapreduce (EMR) Docker Amazon Redshift Microservices

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

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.