-Experienced in Data Storage Tools & Techniques, Data Archiving Patterns & Techniques, Cloud Backup Architecture and Design, Data Warehouse Tools, Data Conversion & Migration, Master Data Management, Metadata Management, Network Data Management Protocol (NDMP), Informatica MDM, Data Management and Integration, Systems Development Lifecycle (SDLC), Data Modeling Techniques and Methodologies, Database Management, Database Technical Design and Build, Extract Transform & Load (ETL) Tools, Cloud Data Architecture, Data Architecture Principles, SAS DataFlux ETL Tools, Online Analytical Processing (OLAP), Data Processes, Data Architecture Principles, Data Architecture Estimation
-5 to 7 years working as a consultant or directly with clients for eg. conferring with customer to capture user requirements, conduct user reviews and run stakeholder agreement meetings, understanding and translating customer needs into business and technology solutions, providing consultation on the customer data architecture journey and data driven digital transformation
-5 to 7 years performing ETL and data conversion, facilitating Data cleansing and enrichment through data de-duplication and construction
-5 to 7 years performing ad-hoc Data extraction and archival; Managing Data life-cycle.
Bonus points if:
-Expertise in using Hadoop, MapReduce, Spark, Pig, Hive technologies, Data Ingestion in Data Lake, Data Storage on key Cloud providers (AWS, Azure, GCP), Redshift, Data Retrieval on Big Data platforms and Interfacing Data Science and Data Visualization tools on Big Data platforms
-Experience in Data Modeling, Big Data Platforms (e.g. Cloudera, Hortonworks, AWS, Talend, etc.), Data Migration and Quality (using ETL e.g Informatica), MySQL/NoSQL, CQRS Event Sourcing
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It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve our clients our employees must be available to travel when needed.
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