This is a fully remote position, open to applicants in United States.

• Design and implement scalable batch and near-real-time data pipelines utilizing Python, PySpark, Glue, EMR, Lambda, and Step Functions.

• Specify data storage, transformation, and access methodologies across S3, Redshift, Athena, RDS, and DynamoDB.

• Create event-driven and integration solutions leveraging SNS, SQS, Kinesis, and APIs.

• Set standards for data quality, observability, monitoring, logging, and recovery from failures.

• Enhance data processing, storage, and query efficiency across AWS platforms.

• Lead the resolution of production issues and conduct root cause analysis along with corrective actions.

• Assist in cloud migration, data migration, and modernization projects.

• Evaluate solution designs, code quality, and production readiness across various projects.

• Collaborate with architects, platform teams, and business stakeholders to ensure technical solutions meet business requirements.

• Promote best practices for CI/CD, deployment automation, and documentation.

• Degree holder necessary for the visa application process.

• Over 12 years of software development experience with a robust IT foundation.

• Background as an application developer for projects of similar scope and responsibilities.

• In-depth knowledge of AWS services and architecture.

• Strong expertise in Python object-oriented programming, PySpark, SQL, and ETL frameworks.

• Extensive experience with AWS Glue, EMR, Redshift, RDS, Athena, Lambda, Step Functions, SNS, SQS, S3, CloudWatch, and CloudTrail.

• Comprehensive understanding of enterprise data architecture, migration, and support frameworks.

• Familiarity with GitLab, Terraform, and release/deployment processes.

• Demonstrated resilience, emotional intelligence, and a commitment to agile delivery.

• Profound understanding of the distinction between coding and engineering.

• Proficient in oral English.

• Proficient in Spanish.

• Flexible remote work options.

• Opportunities for continuous learning.

• Engagement in high-impact projects.

• Collaboration with international teams and expertise from global delivery centers.

• Opportunities for growth and professional development.

Data Infrastructure Architect

People also viewed