Data Engineer (Ciudad de México, Miguel Hidalgo)
Core
Design, develop, and implement scalable data pipelines and infrastructure to enable digital transformation and advanced analytics for a leading bank.
Role type
Associate II Data Engineer
Builds
Robust and scalable data solutions and ETL/ELT processes
Domain
Banking / Big Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Python or Scala, Big Data platforms (Hadoop, Spark, Kafka), Cloud platforms (GCP, AWS, Azure), Git, Agile methodologies
Preferred skills
Advanced SQL, NoSQL databases
Technologies
Hadoop, Spark, Kafka, GCP, AWS, Azure, Git
Responsibilities
Design and implement efficient data pipelines; Collaborate with data science and analytics teams; Optimize data infrastructure and ETL/ELT processes; Ensure data quality, consistency, and security; Evaluate and select new data engineering technologies; Document technical solutions and best practices; Provide technical support and troubleshoot data infrastructure issues
Seniority
Mid-level, hands-on IC
