Key skills
ETLHadoopHDFSSparkDatabricksAgile
About this role
Role Overview
- Design, develop, and maintain reliable software in line with technical requirements, focusing on performance and availability
- Analyze requirements, review designs, and estimate user stories following project methodology (Agile, Waterfall, etc)
- Proactively propose code refactoring and optimization improvements according to the best software development practices and coding standards
- Help maintain and improve high-quality standards within the developer community by sharing knowledge, conducting tech talks, and participating in the internal promotion verification process
- Stay up-to-date with modern technology and obtain professional certifications
- Support less experienced developers by providing training, distributing, and monitoring tasks
Requirements
- 4+ years of experience as a Data Engineer
- Strong proficiency with Databricks, Spark, and ETL pipelines
- Experience with Delta Lake
- Familiarity with the Hadoop ecosystem
- Experience or understanding of on‑prem HDFS
- Upper-Intermediate level of English
- Ability to work from the Buenos Aires office at least 3 times per week
Tech Stack
- ETL
- Hadoop
- HDFS
- Spark