AWS Big Data/Data Analytics Lead
3 weeks ago
Role:
AWS Big Data/Data Analytics Lead/Consultant
Location:
Hartford, CT (min engagement is 6 months)
Job Description:
Must have experience in Leading Solution design, reviewing Complex Data Analytics Architectures.
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 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, Lake Formation, 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, Stream Sets, Attunity, Golden Gate, Map Reduce, Hadoop, Hive, HBase, Cassandra, Spark, Flume, Hive, Impala, etc.
Bachelor's Degree or equivalent amount of work experience (12 years), or Associate's Degree with six years of work experience.
Experience developing and deploying ETL solutions on AWS.
Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
Certifications:
Certified AWS Solutions Architect - Professional
Certified AWS Big Data Specialty
Certified AWS AI/Client Specialty (Nice to have)
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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