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High-Performance Data Engineer
3 semanas atrás
Role Overview:
We are seeking a highly skilled Big Data Architect to lead the design and implementation of scalable data pipelines using AWS Glue, EMR, Spark, and Python.
Key Responsibilities:
- Design and develop robust ETL workflows integrating multiple sources and destinations (S3, RedShift, Aurora, DynamoDB).
- Implement high-performance data processing using Apache Spark and Lambda Functions.
- Develop and maintain complex data catalogs with AWS Glue Catalog.
- Migrate data between various storage systems using AWS DMS.
- Collaborate with cross-functional teams to ensure data quality, security, and governance throughout the lifecycle.
Skills and Qualifications:
To be successful in this role, you will need:
- Expertise in AWS Glue, EMR, Spark, and Python programming languages.
- Strong knowledge of data architecture, engineering, and analytics principles.
- Ability to design and implement scalable data pipelines using cloud-based technologies.
- Excellent problem-solving skills and ability to work under pressure.
- Collaborative mindset and strong communication skills.
What We Offer:
As a valued member of our team, you can expect:
- A competitive salary and bonus structure.
- Opportunities for career growth and professional development.
- A collaborative and dynamic work environment.
- A comprehensive benefits package including health insurance, retirement plan, and paid time off.
About Us:
Our organization is committed to empowering data-driven decision-making through innovative solutions and cutting-edge technology. We believe in fostering a culture of collaboration, creativity, and continuous learning.
