Architect, Data AI-ML
Bachelor’s in computer science, Information Systems, or a related field
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Minimum of 10+ years of experience in data architecture with a minimum of 1-3 years of experience in healthcare domain
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Strong hands-on experience with Cloud databases such as Snowflake, Aurora, Google BigQuery etc.
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Experience in designing OLAP and OLTP systems for efficient data analysis and processing.
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Strong handson experience with enterprise BI/Reporting tools like (Looker, AWS QuickSight, PowerBI, Tableau and Cognos).
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A strong understanding of HIPAA regulations and healthcare data privacy laws is a must-have for this role, as the healthcare domain requires strict adherence to data privacy and security regulations.
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Experience in data privacy and tokenization tools like Immuta, Privacera, Privitar OpenText and Protegrity.
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Experience with multiple full life-cycle data warehouse/transformation implementations in the public cloud (AWS, Azure, and GCP) with Deep technical knowledge in one.
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Proven experience working as an Enterprise Data Architect or a similar role, preferably in large-scale organizations.
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Proficient in Data modelling (Star Schema (de-normalized data model), Transactional Model (Normalized data model) using tools like Erwin.
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Experience with ETL/ETL architecture and integration (Matillion, AWS GLUE, Google PLEX, Azure Data Factory etc)
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Deep understanding of data architectures that utilize Data Fabric, Data Mesh, and Data Products implementation.
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Business & financial acumen to advise on product planning, conduct research & analysis, and identify the business value of new and emerging technologies.
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Strong SQL and database skills working with large structured and unstructured data.
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Experienced in Implementation of data virtualization, and semantic model driven architecture.
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System development lifecycle (SDLC), Agile Development, DevSecOps, and standard software development tools such as Git and Jira
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Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences.
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Familiarity with AI/MLOps concepts and Generative AI technology.
“I love working here because Quest has been my second family and second home. I've experienced a wholesome work environment, and good management.”
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