eTeam Inc

Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. 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/Client, 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.. 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.

data architect

<ol><li>What you need</li> </ol> <ul><li> Minimum of 5 years of Consulting or client service delivery experience on Amazon AWS (AWS)</li><li> Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery</li><li> 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/Client, API GW, etc.</li><li> 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.</li><li> Bachelor's Degree or equivalent amount of work experience (12 years), or Associate's Degree with six years of work experience.</li> </ul> <ol> <li> Certifications<ul><li> Certified AWS Solutions Architect - Associate</li> </ul> </li><li> Nice to Have:<ul><li> Certified AWS Solutions Architect - Professional (Nice to have)</li><li> Certified AWS Big Data Specialty (Nice to have)</li><li> Certified AWS AI/Client Specialty (Nice to have)</li><li> DevOps on an AWS platform. Multi-cloud experience a plus.</li><li> Experience developing and deploying ETL solutions on AWS</li><li> Strong in Java, C##, Spark, PySpark, Unix shell/Perl scripting</li><li> Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.</li><li> Multi-cloud experience a plus - Azure, AWS, Google</li> </ul> </li><li> Professional Skill Requirements<ul><li> Proven ability to build, manage and foster a team-oriented environment</li><li> Proven ability to work creatively and analytically in a problem-solving environment</li><li> Desire to work in an information systems environment</li><li> Excellent communication (written and oral) and interpersonal skills</li><li> Excellent leadership and management skills</li></ul></li></ol>

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