Job offer Data Engineer en Madrid

Scalefast en Madrid

Empleo de Data Engineer en Scalefast

Data Engineer

Scalefast Madrid

$55,000 - $65,000

Oficina Full-time
Data 2-5 años AWS
Job by TalentHackers
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Job description


Company in the e-commerce sector, with HeadQuarters in Los Angeles and locations virtually all over the world. It has more than 300 employees. They have created Global e-commerce as a service platform, which is the fastest e-commerce platform in the USA and allows the best brands (Lóreal, Capcom, Logitech, etc.) to launch their products and speed up the process of selling products internationally. Ideal for companies looking for rapid global expansion. +20 million customers shopping on its platform.


They offer the possibility to work with international and entretainment focused clients, to grow with the company and a dynamic and multicultural "start-up" ambient.


  • Curriculum and degree in Computer Science, Big Data.
  • 2+ years of experience and a proven track record as a data engineer (creating, coding, maintaining).
  • Deep knowledge in SQL and NoSQL query languages. (Nice to have experience with Rds, MariaDb, DynamoDb, data + schema architecture (S3 + Athena).
  • Proven track record in creating and managing ETL.
  • Experience in different data architecture technology, frameworks, tools, with deep understand in clouds environments (good to have experience in AWS (must) additionally Azure, and/or Oracle, and/or GCP).
  • Knowledge and/or experience with Hadoop ecosystem.
  • Fluent in Python programming language, latest versions (code compliant with pep8, linting code, best practices for reusable code, open to pair programming and programming in teams).
  • Fluent in creating and maintaining Infrastructure as code (Terraform) is a plus.
  • Fluent in Gitlab projects (ci/cd over Gitlab programming also).
  • Fluent with Datadog.
  • Experience with data stack in AWS (S3, Lake formation, Glue, EMR, IAM, Api Gateway, Lambda, Athena, Kms, Sns, Secret Manager, Quicksigth, Rds, Step Functions, DynamoDb, EventBridge, Guarduty, CloudTrail, Ec2)
  • Experience working with other data experts (data analysts, data scientists) and IT experts
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