
Senior AWS Data Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Design, develop, and sustain scalable ETL and data pipelines utilizing Python, PySpark, and AWS services.
• Create and oversee workflows using Glue, Lambda, and Step Functions.
• Construct event-driven integrations employing SNS, SQS, and associated AWS services.
• Architect and enhance data lake and warehouse solutions utilizing S3, Athena, and Redshift.
• Compose and optimize high-performance SQL for intricate transformations and reporting.
• Devise and execute frameworks for data validation, monitoring, logging, alerting, and error handling.
• Design and facilitate API-based and JSON-based integrations across both internal and external systems.
• Diagnose operational issues, ascertain root causes, and enact corrective measures.
• Contribute to documentation, deployment automation, and adhere to engineering best practices.
• Collaborate with stakeholders and provide mentorship to junior team members as necessary.
• Degree required for the visa application process.
• 8–12 years of software development experience within the relevant platform.
• Strong IT background and experience.
• Experience as an application developer on projects of comparable scope and responsibility.
• Profound expertise in Python, PySpark, and SQL.
• Extensive hands-on experience with AWS Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
• Familiarity with enterprise data lakes, data warehouses, data marts, and big data environments.
• Strong grasp of ETL best practices, data quality, and operational support.
• Experience with APIs, JSON, and cloud-based data integration patterns.
• Knowledge of GitLab, Terraform, CI/CD, and AWS developer tools.
• Experience with DynamoDB, EC2, ECS, and Batch.
• Exposure to data migration and cloud modernization initiatives.
• Understanding of performance engineering for code pipelines and near real-time systems.
• Good comprehension of Agents and MCP.
• Advanced proficiency in oral English.
• Advanced Spanish proficiency.
• Resilience, emotional intelligence, and a focus on agile delivery.
• Deep understanding of the distinction between coding and engineering.
• Flexible remote work arrangement.
• Continuous learning and professional growth opportunities.
• Exposure to world-class, high-impact projects.
• Collaboration with international expertise across global delivery centers.
• Dynamic, forward-thinking workplace.
• Opportunity to work on AI-driven automation and cloud solutions.
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