Senior Data Engineer (ETL, Spark)

TL;DR

Senior Data Engineer (ETL, Spark): Designing, developing, and maintaining reliable software for optimizing and systematizing data flows across a large insurance corporation. Focus on performance, availability, and ensuring compliance with security, governance, and privacy protocols.

Location: Hybrid in Buenos Aires, Argentina (at least 3 times per week onsite).

Company

hirify.global is a custom software development company that has been a software innovation partner since 1991, with over 2000 professionals across Eastern Europe and North America.

What you will do

• Design, develop, and maintain reliable software focusing on performance and availability.
• Analyze requirements, review designs, and estimate user stories using project methodologies.
• Proactively propose code refactoring and optimization improvements.
• Maintain high-quality standards by sharing knowledge and participating in internal processes.
• Stay up-to-date with modern technology and obtain professional certifications.
• Support and train less experienced developers.

Requirements

• 4+ years of experience as a Data Engineer.
• Strong proficiency with Databricks, Spark, and ETL pipelines.
• Experience with Delta Lake and familiarity with the Hadoop ecosystem, including on-prem HDFS.
• Upper-Intermediate level of English (B2).
• Must be able to work from the Buenos Aires office at least 3 times per week.

Culture & Benefits

• Close cooperation with customers.
• Challenging tasks and competence development opportunities.
• Ability to influence project technologies.
• Work with a team of professionals in a dynamic environment.
• Low level of bureaucracy.