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Metro location and broad GenAI/data/cloud skillset increase applicant competition.
Specialized GenAI, Databricks, and cloud-native MLOps requirements reduce cross-industry transferability.
Explicit seven-year minimum plus mandatory cloud, Databricks, PySpark, and GenAI/MLOps skills.
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Build and maintain automation solutions and Power BI dashboards to enhance analytics program effectiveness.
Collaborate with business units to identify AI use cases and deploy generative AI and knowledge discovery capabilities.
Design QA and monitoring automation to optimize operational processes and contribute to generative AI initiatives.
Minimum 7 years of hands-on experience in Data Analysis, Automation, and Cloud-native development.
Strong programming skills in Python, PySpark, Databricks, BigQuery/Redshift, and SQL for large-scale data processing.
Experience building APIs/services using frameworks like FastAPI or Flask.
Work Experience Required: 7+ years in relevant domains.
Experienced in delivering cloud-native automation solutions in production environments with measurable operational impact.
Skilled at translating complex data into actionable business insights with programming expertise in Python and related data libraries.
Familiar with generative AI technologies and frameworks, with good understanding of MLOps principles and API development.