
Senior AWS Data Engineer
Posted Sep 16

Posted Sep 16
This is a fully remote position, open to applicants in Poland.
• Develop and sustain Data Engineering platforms utilizing the AWS Native stack.
• Design and create generalized, reusable modules employing contemporary Python development practices.
• Utilize object-oriented programming principles to engineer maintainable and scalable data processing solutions.
• Collaborate with agile development teams to ensure timely delivery of solutions.
• Diagnose root causes of issues in existing data and suggestion generation pipelines.
• Implement resolutions by debugging AWS Step Functions, Glue, Athena, and Lambda.
• Leverage modern Python development tools and engineering practices to enhance code quality, testing, and deployment efficiency.
• Proficient in advanced Python programming, including the use of pandas for data manipulation and analysis.
• Familiarity with object-oriented programming principles and design patterns.
• Skilled in modern Python development tools and best practices.
• Experience with AWS Glue for ETL processes.
• Knowledge of Amazon Athena for data querying.
• Experience with DynamoDB for NoSQL data storage solutions.
• Proficient in using AWS Step Functions and Lambda for workflow orchestration.
• Strong understanding of AWS-based cloud architecture.
• Background in agile software development methodologies and project management tools such as Azure DevOps.
• 5–10 years of data engineering experience with exposure to global or regional projects is a plus.
• Experience with CI/CD, version control, and automated testing practices.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and career advancement.
• Flexible working hours and remote work options.
• Comprehensive health and wellness benefits.
• Collaborative and inclusive work environment.
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