Senior AWS Data Engineer:The Challenge (Responsibilities)- Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services.
- Develop and manage workflows using Glue, Lambda, and Step Functions.
- Build event-driven integrations using SNS, SQS, and related AWS services.
- Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift.
- Write and tune high-performance SQL for complex transformations and reporting.
- Design and Implement data validation, monitoring, logging, alerting, and error-handling frameworks.
- Design and Support API-based and JSON-based integrations across internal and external systems.
- Troubleshoot operational issues, identify root causes, and implement corrective actions.
- Contribute to documentation, deployment automation, and engineering best practices.
- Collaborate with stakeholders and mentor junior team members where needed.
Your Profile (Requirements)- Degree holders for the visa application process.
- 8-12 years of software development experience across the appropriate platform.
- Solid IT background and experience.
- Experience as an application developer for projects similar in scope and responsibility.
- Strong expertise in Python, PySpark, and SQL.
- Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
- Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
- Strong understanding of ETL best practices, data quality, and operational support.
- Experience with APIs, JSON, and cloud-based data integration patterns.
- Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
- Experience with DynamoDB, EC2, ECS and Batch.
- Exposure to data migration and cloud modernization programs.
- Have a good understanding of performance engineering of code pipelines and near real-time systems.
- Good understanding of Agents and MCP.
- High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
- Technologist DNA: A deep understanding of the difference between "coding" and "engineering."
Desired- Familiarity with cloud-native foundations or AI coding assistants.
Languages- Advanced Oral English: For seamless collaboration with global teams.
- Advanced Spanish.
Special NotesWork ArrangementWe value flexibility to support your lifestyle. This position is available as:If you meet these qualifications and are pursuing new challenges,
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Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements- 8-12 years of software development experience across the appropriate platform.
- Solid IT background and experience.
- Experience as an application developer for projects similar in scope and responsibility.
- Strong expertise in Python, PySpark, and SQL.
- Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
- Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
- Strong understanding of ETL best practices, data quality, and operational support.
- Experience with APIs, JSON, and cloud-based data integration patterns.
- Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
- Experience with DynamoDB, EC2, ECS and Batch.
- Exposure to data migration and cloud modernization programs.
- Have a good understanding of performance engineering of code pipelines and near real time systems
- Good understanding on Agents and MCP
