- What you need
· 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
· 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.
· Bachelor's Degree or equivalent amount of work experience (12 years), or Associate's Degree with six years of work experience.
- Certifications
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- Certified AWS Solutions Architect - Associate
- Nice to Have:
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- 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
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- 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
- Excellent communication (written and oral) and interpersonal skills
- Excellent leadership and management skills