AWS Data Architect

• Around 15+ years of industry experience with atleast 5 years in architecturing cloud solutions
• At least 5 years of architecture and design experience in designing and implementing data and analytics platforms, data integration solutions in AWS cloud infrastructure.
• Experience working with and designing solutions using AWS services such as Redshift, DyanamoDB, RDS, Aurora, Route 53, EC2, EMR, Elastic Beanstalk, API Gateway, Lambda, Microservices etc.
• Good understanding and expereince working with Data Integration tools like Talend-BigData
• Experience in implementing scalable and distributed architecture and process optimizations techniques in AWS cloud platform.
• Experience of Amazon Web Services provisioning, design and configuration capacity planning, administration etc
• Extensive experience in data analysis and ability to convert the business requirements to technical specifications.
• Thought leadership and technical advisory.
• Very good communication skill and can do attitude.
• Experience working in a collobrative environment to deliver the outcome.
• Excellent stakeholder management skills at all levels; both internally and externally
• Experience with formal architectural methodologies and frameworks, including TOGAF

Primary Skills

• Python, Spark Scala, Big Data
• Apache Spark and the Hadoop Ecosystem , Strong SQL knowledge
• Impala/Hive QL
• Analytical Querying
• AWS IAM , S3 ( Most AWS storage & computing services)
• Good to have ETL Tool (StreamSets, Stich, Matillion, Talend, Informatica)
• Good to have Any Reporting Tool (Tableau, Looker, Spotfire)
• Python, Scala, Java. (Expertise in at least one of them).
• Big Data Talend
• Redshift, DyanamoDB, RDS, Aurora, Route 53, EC2, EMR, Elastic Beanstalk, API Gateway, Lambda, Microservices
• Strong technical experience in implementing Big Data solutions using the Hadoop ecosystems on a Cloud Platforms (AWS) and associated technologies.