Cynet Systems · 4 months ago
AWS Cloud Data Engineer Lead
Cynet Systems is seeking an AWS Cloud Data Engineer Lead responsible for leading data engineering and integration initiatives. The role involves designing and managing scalable cloud-based data platforms to ensure high performance, reliability, and data quality across enterprise data systems.
EmploymentRecruitingStaffing Agency
Responsibilities
Lead the team to design, configure, implement, monitor, and manage all data integration activities and define best practices for performance and reliability
Develop and maintain infrastructure systems such as data warehouses, data lakes, and data access APIs
Prepare and manipulate data using Hadoop or equivalent MapReduce platforms
Provide guidance on data warehouse modeling in cloud or on-premise environments, including dimensional modeling, OLAP, and denormalized data structures
Oversee delivery of data engineering initiatives, including long-term programs and ad-hoc ELT and ETL activities
Build data collection frameworks for structured and unstructured data and connect large data sets from multiple sources
Enforce best practices for data auditing, scalability, reliability, and application performance
Perform data analysis using statistical techniques and provide actionable insights and reports
Design and conduct quality control procedures for datasets from multiple systems
Continuously improve engineering practices by staying current with industry trends and best practices
Qualification
Required
Bachelor's degree in Information Technology, Computer Science, or related field, or equivalent experience
At least ten years of experience leading data engineering and cross-functional teams
Strong experience with ETL and ELT development and data integration
Hands-on experience with application development, relational databases, and data modeling
Expert-level SQL knowledge
Strong Java programming experience in enterprise environments
Experience with DevOps tools such as Git and Artifactory
Ten or more years of experience in data engineering and leading technical teams
Preferred
At least three years of data engineering experience on AWS using services such as S3, Kafka, and Redshift
Experience with Spark and Scala or Java for ETL and data integration, preferably on Cloudera platforms
Strong understanding of database design, data movement, and data exchange formats