- Collaborate with IT and the business to drive adoption of data tools. Give technical talks and demos on the newest abilities and enhancements of the enterprise level data solutions.
- Experience with data quality tools to profile, cleanse, standardize, and enrich data
- Exposure to a Data Strategy including architecting, design and implementation of a Master Data Management (MDM) program
- Functional familiarity with at least one of key master entity/domain such as Individuals (Clients, Agents, Employees...), Organizations (Customer, Supplier...), Product, Locations, Assets etc. and the challenges typically involved in implementing MDM for that entity/domain
- Advanced skills in SQL development and comfortable designing, writing, and maintaining complex SQL based ETL, which includes building large-scale batch and real-time data pipelines
- Well-versed in designing data models and data management strategies to support analytical and modeling applications as well as Analytical and Data Science teams.
- Strong background in data warehouse concepts and designs; ETL, Star Schema, Multi-Dimensional databases
- Cloud computing, ideally Azure or (but not limited to); AWS, Redshift, Lambda, Cassandra
- Familiar with at least one scripting language (PowerShell, JavaScript, Python, Ruby, Perl, Bash)
- Strong data management and processing skills, including experience with Relational and Non-relational data stores (NoSQL, S3, Hadoop, etc.)
- Ability to adjust designs to meet project objective and timelines while maintaining the vision and goals of solid database design principles.
- Expert in eliciting solid data element descriptions and definitions and with physical data modeling tools and proficient in at least one (e.g., Erwin)
- Experience with SOA, Service Bus technologies, and other data abstraction tools and access layers.
- Strong communication skills both in written (technical documents, Jupyter notebooks) and spoken (meetings, presentations) forms
- Efficiently work and produce results within the structure of project management methodologies (e.g., Agile, Scrum, Waterfall)
- Demonstrate commitment to meeting organizational, department and team goals and objectives
- Familiar with the DevOps, data pipeline and sharing code repositories with tools such as GIT
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Data Architect - Oklahoma City, United States - American Fidelity
Description
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Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description.
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