AWS data Architect at Hoboken, New Jersey, USA |
Email: [email protected] |
From: Satya Prakash, Envision Tech Solutions [email protected] Reply to: [email protected] Hi, Hope you are doing great! Please find the requirement below, If you find yourself comfortable with the requirement please reply back 315-275-5700 Role- AWS Data Architect Location- Hoboken, NJ (Onsite) Duration Long term Contract Job Description Minimum of 5 years of Consulting or client service delivery experience on Amazon AWS (AWS)- Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery - Minimum of 5 years of professional experience in 2 of the following areas: - Solution/technical architecture in the AWS 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, , CDC processing Redshift, RDS, Aurora, 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, Hadoop, Hive, Hbase, pySpark, Hive, - Bachelor's Degree or equivalent amount of work experience (12 years), or Associate's Degree with six years of work experience. Certifications - Certified AWS Solutions Architect - Associate Bonus points if you have - Certified AWS Solutions Architect - Professional (Nice to have) - Certified AWS Big Data Specialty (Nice to have) - Certified AWS AI/ML Specialty (Nice to have) - DevOps on an AWS platform. Multi-cloud experience a plus. - 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. - Multi-cloud experience a plus - Azure, AWS, Google Professional Skill Requirements - Proven ability to build, manage and foster a team-oriented environment - Proven ability to work creatively and analytically in a problem-solving environment - Desire to work in an information systems environment - Proven experience of Migration from traditional DW to Cloud CDW(AWS environment) - Excellent communication (written and oral) and interpersonal skills - Excellent leadership and management skills Thanks and Regards Satya Prakash Email : [email protected] Direct : 3152755700 EXT 112 Keywords: csharp artificial intelligence machine learning sthree New Jersey |
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Tue Feb 07 00:16:00 UTC 2023 |