Translate business requirements into technical specifications for AEVI’s AWS-based data architecture
Work with technologies such as Aurora, Oracle, Athena, Glue, and QuickSight
Manage and optimize Data Warehouses & Data Lakes
Design, configure, and administer data architecture in compliance with PCI, GDPR, and CCPA
Document data flows and implement data models within business applications
Ensure cloud data management meets CIA (Confidentiality, Integrity, Availability) standards
Redesign data models to maintain regulatory compliance
Develop and manage a structured data access model

Strong expertise in SQL, DML, and DDL
Excellent communication skills at both business and technical levels
Deep knowledge of AWS Cloud Data technologies
Proficiency in streaming platforms (Kafka, AWS Kinesis) for real-time data processing
Experience with big data frameworks (Apache Spark, Hadoop)
Familiarity with infrastructure-as-code tools (Terraform, AWS CloudFormation)
Solid knowledge of Python and Java
Strong data modeling and design skills
Proficiency in AWS database services
Good understanding of data classification, encryption, and privacy

Data Engineer

Key skills