| Enterprise Data Architect with Integrations Background at Washington, DC, USA |
| Email: [email protected] |
| From: Sravani, nitya Software solutions [email protected] Reply to: [email protected] Role: Enterprise Data Architect with Integrations Background Location: Washington DC (100% onsite no flexibility for remote) Responsibilities Minimum 12+ years overall IT experience. Five (5) to ten (10) years of experience developing complex data integrations. Three (3) or more years of experience with integrations Five (5) to ten (10) years of experience designing complex data architectures for analytics and reporting. Advanced analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems. Integrates new systems with existing warehouse structure and refines system performance and functionality; develops strategies for enterprise data management and data governance. Provide architecture and technology leadership across the data lifecycle tools and services - ingest, prepare, analyze, archive, retire - utilizing AWS services and other COTS and open-source tools 5+ years experience with relational and non-relational databases 5+ years experience building enterprise-wide transactional applications Experience with AWS Redshift, and Pentaho Data Integrator/ETL tools Deep understanding of industry patterns for application architecture and integration and experience managing data quality Ability to come up with a detailed architecture that includes infra, security, disaster recovery/BCP plans Demonstrated significant experience migrating data from legacy applications to new system solutions and keeping the data accessed by both and in sync throughout a phased migration Experience in data transformations, migration, statistical analysis, and troubleshooting across Platforms Good written and verbal communication skills with the ability to present technical details Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses. Keywords: information technology |
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| Sat Jan 28 00:08:00 UTC 2023 |