Data Engineer (La Plata) (Argentina), Gobernador Gálvez

What You'll DoDesign and build Spark data ETL pipelines on AWS data platform.Collaborate with cross‐functional teams such as data scientists, fraud, marketing and other business stakeholders to understand their data needs and deliver reliable solutions.Optimize data infrastructure – Design and maintain robust data infrastructure by using modern data platform architecture.Ensure data quality and reliability.Innovate and follow best practices.Ensure operational excellence of the data platform, including monitoring, incident response, performance optimization, and continuous improvement.Who We're Looking For (Must Haves)Professional experience working in data warehousing, data architecture, and/or data engineering environments, especially using Spark, Hadoop, Hive, etc., with solid understanding of streaming pipelines.Proficiency in at least one high‐level programming language (Scala, Java, Python or equivalent).
Good understanding of databases.Experience building large‐scale data products and understanding the tradeoffs made when building these features.Deep understanding of system design, data structures, and algorithms.Excellent knowledge of distributed computing frameworks such as Hadoop MapReduce and Spark.Strong knowledge of AWS infrastructure – EMR, S3, Lambda, Redshift etc.Strong understanding of data quality and governance.Team player, self‐driven.
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