Urgent requirement of Data Architect - Perm/Contract - Melbourne
Requirements
- Minimum of 10 years of Consulting or client service delivery experience on Amazon AWS (AWS) and experience in big data, database and data warehouse architecture and delivery
- Minimum of 10 years of professional experience in the Solution/technical architecture in the cloud ,Big Data/analytics/information analysis/database management in the cloud IoT/event driven/microservices in the cloud
- Experience with private and public cloud architectures, pros/cons, and migration considerations
- Extensive hands on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark,Glue, Sage Maker, AI/ML, API GW, etc
- Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc
- Certified AWS Solutions Architect Associate Bonus points if you have Certified AWS Solutions Architect
- Certified AWS Big Data Specialty and Certified AWS AI/ML Specialty and DevOps on an AWS platform
- Experience developing and deploying ETL solutions on AWS Strong in Java, C##, Spark, PySpark, Unix shell/Perl scripting
- Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc
- Very Good Communication Skills
Duration: Permanent / 6 Months and possible extension
Eligibility: Australian/NZ Citizens/PR Holders only
Minimum of 10 years of Consulting or client service delivery experience on Amazon AWS (AWS) and experience in big data, database and data warehouse architecture and delivery Minimum of 10 years of professional experience in the Solution/technical architecture in the cloud ,Big Data/analytics/information analysis/database management in the cloud IoT/event driven/microservices in the cloud Experience with private and public cloud architectures, pros/cons, and migration considerations Extensive hands on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark,Glue, Sage Maker, AI/ML, API GW, etc Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc Certified AWS Solutions Architect Associate Bonus points if you have Certified AWS Solutions Architect Certified AWS Big Data Specialty and Certified AWS AI/ML Specialty and DevOps on an AWS platform Experience developing and deploying ETL solutions on AWS Strong in Java, C##, Spark, PySpark, Unix shell/Perl scripting Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc Very Good Communication Skills Duration: Permanent / 6 Months and possible extension Eligibility: Australian/NZ Citizens/PR Holders