
Chief Data Infrastructure Specialist
2 semanas atrás
Transform Data Engineering
">We seek a Senior Data Engineer to design, build, and maintain large-scale data systems in the AWS cloud. The ideal candidate will have expertise in Python, SQL, PySpark, and AWS services like Lambda, Kinesis, S3, and Redshift.
">Key Responsibilities">- ">
- Design and implement scalable data architectures, defining standards and best practices for data management.">
- Ensure data system reliability, quality, and performance.">
- Mentor junior/mid-level data engineers and collaborate with cross-functional teams.">
- Evaluate and implement new technologies to improve data integration, processing, and analysis.">
The ideal candidate will have a strong background in software development, data engineering, and cloud computing. They should be passionate about data quality, performance, and cost optimization, with experience working in an Agile environment.
">Requirements">- ">
- 5+ years of real-world data engineering development experience in AWS and GCP.">
- Strong expertise in Python, SQL, PySpark, and AWS services.">
- Senior person who can understand requirements and design end-to-end solutions.">
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.">
The candidate should possess strong leadership skills, problem-solving skills, and excellent communication skills to collaborate with cross-functional teams.
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