Data Engineer - Interfaz
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Data Engineer

Apply and be part of our team, work with people who are passionate about their work

01.

Details

San José, Costa Rica
Full time
Remote

02.

Description

We are seeking for an experienced DATA ENGINEER to join our team. This is a remote position in which the candidate will be responsible for confirming, defining and implementing data flows from the source to the desired end, through a controlled and automated process.

03.

Responsabilities

  • Perform data operations, including extracting data from multiple sources and loading into other schemas 
  • Handle multiple file formats (JSON, xml, rdf, reports, etc.) and, if necessary, analyze the data for further processing 

04.

Requirements

  • Experience creating data pipelines using Spark (Scala or PySpark) in databricks 
  • Experience in Amazon Cloud Environment AWS development (S3, EMR, Databricks, Amazon Redshift, Athena) 
  • Experience working with API REST 
  • DevOps experience preferred, but some level of knowledge in DevOps required 
  • Snowflake experience will be an advantage 
  • Knowledge in AWS core services and AWS core architecture best practices 
  • Ability to understand requirements and its changes 
  • Bachelor’s degree in engineering, computer science, information systems, mathematics or similar degree 
  • Certification AWS Cloud Practitioner Essentials (CP-ESS), Architecting on AWS (AWSA), DevOps Engineering on AWS (AWSDEVOPS) y SnowFlake 
  • Bilingual (Spanish/English) 

Professional requirements: 

  • Analytical, problem-solving and communication skills 
  • Planning and management experience
  • At least 3 years of experience in an equivalent position 

If you are interested in the position and fulfill the previous requirements, you can send your CV to jobs@interfaz.io specifying your desired pay and the vacancy you are applying for, or directly by clicking on the APPLY button. 

05.

Desirable skills

What are we looking for?

Analytical
Problem-solving
Good communication skills 
Management
Team Work

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