Senior Data Engineer
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Job Description
Senior Data Engineer leading the development of analytics infrastructure for air quality company Filterbuy. Designing ETL pipelines and data models for reporting and operational insights.
Responsibilities:
- Design, build, and maintain ETL/ELT pipelines using Matillion and Python to extract, transform, and load data from diverse systems into Amazon RDS or other warehouse environments.
- Develop and optimize data models to support analytics, dashboards, and self-service reporting in Amazon QuickSight.
- Collaborate with business and technical stakeholders to define data needs, build scalable data solutions, and ensure data availability across the organization.
- Maintain and improve the AWS data infrastructure, ensuring reliability, performance, and scalability across services like RDS, S3, Glue, and Lambda.
- Implement data quality and validation frameworks, ensuring consistency and integrity throughout all pipelines.
- Partner with analysts and other data consumers to support end-to-end analytics workflows and improve data discoverability.
- Contribute to architectural decisions and mentor other data team members on best practices, coding standards, and data engineering patterns.
Requirements:
- Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field.
- 5+ years of professional experience in data engineering or a similar technical role.
- Proven experience working within the Amazon data ecosystem, including Amazon RDS, Amazon QuickSight, and related AWS services (e.g., S3, Glue, Redshift, Lambda).
- Proficiency in Python for ETL development, automation, and data manipulation.
- Strong command of SQL and experience designing and optimizing large-scale data models.
- Hands-on experience with Matillion or similar ETL/ELT orchestration tools.
- Excellent analytical, problem-solving, and communication skills, with the ability to translate complex requirements into scalable data solutions.
Benefits:
- Competitive salary
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