
Senior AWS Data Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Create, construct, and sustain scalable ETL and data pipelines utilizing Python, PySpark, and AWS services.
• Develop and oversee workflows with Glue, Lambda, and Step Functions.
• Construct event-driven integrations leveraging SNS, SQS, and other related AWS services.
• Design and enhance data lake and warehouse solutions using S3, Athena, and Redshift.
• Write and optimize high-performance SQL for intricate transformations and reporting tasks.
• Design and execute frameworks for data validation, monitoring, logging, alerting, and error handling.
• Create and support API-based and JSON-based integrations across both internal and external systems.
• Diagnose operational issues, pinpoint root causes, and carry out corrective measures.
• Contribute to documentation efforts, deployment automation, and adherence to engineering best practices.
• Collaborate with stakeholders and provide mentorship to junior team members as necessary.
• Holder of a degree for visa application purposes.
• 8–12 years of experience in software development.
• Strong background in IT and relevant experience.
• Experience as an application developer on projects with similar scope and responsibilities.
• Proficient in Python, PySpark, and SQL.
• Practical 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.
• In-depth understanding of ETL best practices, data quality, and operational support.
• Experience working 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.
• Familiarity with Agents and MCP.
• Advanced proficiency in oral English.
• Advanced proficiency in Spanish.
• Familiarity with cloud-native foundations or AI coding assistants (preferred).
• Demonstrates resilience, emotional intelligence, and a focus on agile delivery.
• Opportunities for continuous learning.
• Accelerated growth through participation in world-class, impactful projects.
• Exposure to complex engineering challenges.
• Flexible remote work arrangements.
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