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6-9 years of technology consulting experience, with a strong focus on contact center solutions and cloud operations.
Minimum of 6-7 years of in-depth, hands-on experience with Amazon Connect and associated AWS services in large-scale environments.
Expert proficiency in designing, developing, and optimizing complex Amazon Connect contact flows, including integration with Lex bots, Lambda, external APIs, Python, and JSON.
Demonstrated ability to architect and implement secure, scalable, and high-availability contact center solutions using AWS services such as Connect, Lex, Polly, Lambda, CloudWatch, Kinesis, Glue, S3, Redshift, SNS, and SQS.
Advanced development experience with AWS Lex bots for natural language processing, conversational AI, and seamless call routing.
Strong coding skills in Python, with solid experience writing complex SQL queries and performing data/string analysis for contact center analytics and reporting.
Extensive knowledge of DevOps practicesincluding CI/CD pipeline design, automated testing, Docker containerization, and version control with GitHub ensuring robust and automated deployments.
Proven experience with agile and iterative project delivery methodologies, actively leading sprint planning, backlog refinement, and stakeholder alignment for cloud and contact center transformation projects.
Ability to translate intricate business and technical requirements into innovative, actionable solution architectures and technical designs.
Thorough understanding of end-to-end project delivery, including assessment, design, build, deployment, and operational transition for cloud-based contact center initiatives.
Up-to-date awareness of cloud and contact center technology trends, tools, and emerging best practices.
Prior experience leading technical teams or mentoring junior developers is highly desirable.
Job ID: 151543173
Skills:
snowflake , Pyspark, Sql, Apache Airflow, AWS Glue, Python, Aws Lambda, AWS Glue Data Quality, Data Quality Frameworks, Glue Crawlers, Snowpark, Amazon Athena
Skills:
Java, SQL Server, Spring Boot, Kafka, Spring MVC, AWS, Microservices