As a senior data architect, you will design and implement high-performance data processing systems to drive business growth. The role requires expertise in AWS serverless technologies, including S3, Lambda, Glue, Athena, Redshift, and DynamoDB.
Key Responsibilities:
* Develop scalable data ingestion pipelines using AWS services
* Collaborate with cross-functional teams to understand business requirements and deliver solutions within defined timelines
* Design and implement data transformation and enrichment processes using AWS Lambda, Glue, or similar technologies
* Optimize data storage and retrieval mechanisms for large-scale data processing
The ideal candidate has extensive experience working as a data engineer, with a strong focus on AWS technologies and serverless architectures. They have in-depth knowledge of AWS services, including S3, Lambda, Glue, Athena, Redshift, and DynamoDB.
Required Skills:
* Proficiency in AWS cloud services, including S3, Lambda, Glue, Athena, Redshift, and DynamoDB
* Experience with serverless technologies and architecture
* Strong understanding of data processing and storage mechanisms
* Excellent collaboration and communication skills
What We Offer:
* A competitive compensation package
* Opportunities for professional growth and development
* A collaborative and dynamic work environment