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Job Description & How to Apply Below
We are seeking a Data Engineer with strong Spark fundamentals and experience working in cloud-based data environments. The ideal candidate will have hands-on expertise in building scalable data pipelines and leveraging modern development tools to improve productivity.
Required Skill
Strong experience with Apache Spark and Databrick
Solid understanding of distributed data processing and performance optimization
Experience with AWS data services and cloud ecosystems, including
Amazon S3
AWS Glu
Amazon Redshift
Data queues such as Amazon SQ
Understanding of cloud storage, data movement, and ingestion concept
Experience using AI-assisted coding tools such as Git Hub Copilot
What You'll
Do Build and maintain scalable data ingestion and processing pipeline
Develop and optimize Spark-based workload
Work with cloud-native data storage and integration service
Support enterprise data platform initiative
Utilize modern development and AI coding tools to improve engineering efficient
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