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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

ELEKS

Open Positions (1)

Engineering

Senior Data Engineer – Insurance Project