#AWS DATA ARCHITECT SOFTWARE#

Deep understanding of data, application, server, and network security.Demonstrated industry leadership in the fields of Big Data, Database Migration, Data Warehousing, Data Sciences and Advance Analytics.Hands on experience leading large-scale global database, data warehousing and analytics projects.AWS Solutions Architect, AWS Developer, or AWS Certified Big Data – Specialty (Data Analytics Speciality) BS level technical degree required Computer Science or Mathematics background preferred.Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization.Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.

Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS SQL Server), NoSQL (such as DynamoDB, HBase, MongoDB, Cassandra, design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.

Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time.

Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.

#AWS DATA ARCHITECT SOFTWARE#

Possess significant experience of software development and/or IT and implementation/consulting experience.Highly technical and analytical, possessing 3 or more years of Database and/or Analytics Systems development and deployment experience, IT systems and engineering experience, security and compliance experience, etc.Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the worldwide AWS solution architect community.Work with customers to advise on changes as they put these systems live on AWS.Prepare architecture and design briefs that outline the key features and decision points of the application built in the Data Lab.Bootstrap using user data scripts will be added advantage Render working, high performance data management solutions, as CloudFormation and reusable artifacts for implementation by the customer.Security of EMR cluster using KMS keys or customer managed keys.Conversion of Hive SQL to AWS Glue based sql.

Well experience on other AWS services EC2, EMR, Redshift, S3, Streaming services like Kafka, Kinesis, HDFS.Work alongside customers to build data management platforms using Elastic Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning, Amazon Athena, Lake Formation, S3, AWS Glue, DynamoDB, ElastiCache and the Relational Database Service (RDS).Where customers have architectures prepared, validate them against non-functional requirements and finalize the build model. Understand customer requirements and render those as architectural models that will operate at large scale and high performance.

Aws data architect