DataOps Engineer - Remote

Overview

We are looking for a technical professional with experience in implementing and maintaining data solutions on AWS, focused on automation and data quality.

In Short

• Development of ETL/ELT pipelines with AWS Glue.
• Configuration and optimization of migration flows with DMS.
• Implementation and maintenance of cataloging services.
• Monitoring and optimization of data processes.
• Implementation of unit and integration tests.
• Management of data environments.
• Implementation of quality controls.
• Monitoring of jobs and pipelines.
• Incident resolution and performance optimization.
• Work schedule: Monday to Friday, 9 AM to 6 PM (Mexico City).

Requirements

• Intermediate-advanced English (desirable).
• AWS Data Services, ETL development, data quality, monitoring, and alerts.
• Tools: Glue, DMS, Redshift, Lake Formation, DataZone, S3, IAM, CloudWatch, CloudTrail, KMS, Macie.
• Programming: Python, SQL, Shell Scripting, PySpark.
• Infrastructure as code: Terraform, CloudFormation.
• Automation and CI/CD: Git, Apache Airflow, Step Functions.
• Methodologies: Agile & Scrum, version control, test automation, documentation.
• Desirable certifications: AWS Solutions Architect Associate, AWS Data Analytics Specialty or Data Engineer.

Benefits

• Hybrid modality (2 times a week in-person).
• Project-based hiring (10 months).
• Dynamic and collaborative work environment.
• Opportunities for professional growth.