Roles & Responsibilities

• Design, implement, and manage AWS Redshift data warehousing solutions to support business intelligence and analytics.
• Leverage AWS services like EMR, Lambda, Glue, and DynamoDB for building and deploying scalable data pipelines and serverless applications.
• Work on AWS serverless architecture and assist in data storage and management using DynamoDB.
• Collaborate on the design and implementation of data movement from DynamoDB to Elasticsearch indexes via Kinesis Data Streams (KDS).
• Act as a key contributor to multiple projects, ensuring timely delivery while maintaining high-quality standards.
• Lead teams and provide technical guidance and mentorship to junior consultants.
• Troubleshoot and optimize AWS Redshift performance and resolve complex issues related to data movement, storage, and processing.
• Communicate effectively with stakeholders, providing regular project updates, technical recommendations, and strategic insights.

Required Skills & Qualifications

• 5+ years of hands-on experience in AWS Redshift, including architecture, implementation, and optimization.
• Proficiency in AWS services such as EMR, Lambda, Glue, and DynamoDB.
• Experience with AWS serverless architectures and working with data flows in a cloud-native environment.
• In-depth knowledge of data movement strategies from DynamoDB to Elasticsearch via KDS.
• Strong ability to work independently and lead teams across multiple concurrent projects.
• Excellent problem-solving, communication, and organizational skills.

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