AI Engineer, Databricks Genie

Job not on LinkedIn

🔥 6 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 13%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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• No salary listed.

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DysrupIT

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

Enterprise • SaaS • Cybersecurity

DysrupIT is a global cloud services and IT solutions firm that helps organizations adopt cloud technologies and transition to as-a-Service business models. The company provides enterprise cloud, managed services, application engineering, cybersecurity, and data analytics & information management, serving SMBs through multinational enterprises with Microsoft and other cloud platforms. DysrupIT also emphasizes community impact, talent development, and long-term partnerships to deliver secure, scalable, and business-aligned technology outcomes.

📋 Description

• Design and maintain the semantic layer used by Databricks Genie, including table and column descriptions, synonyms, certified assets, sample questions, and metric definitions • Build, configure, and tune Genie Spaces to improve answer accuracy and relevance • Define metric views and business logic so that natural-language questions map to governed KPIs • Develop evaluation frameworks and regression tests to measure query accuracy and SQL quality • Diagnose failure modes such as ambiguous questions, incorrect joins, and misinterpreted metrics, and resolve them through schema, metadata, or instruction changes • Collaborate with data engineers to improve upstream data quality and data modelling • Support deployment, versioning, and monitoring of semantic assets in partnership with DevOps and platform teams • Translate business feedback into concrete changes to data models, prompts, or configuration

🎯 Requirements

• Hands-on Databricks experience, including Databricks SQL, Unity Catalog, and Databricks Genie • Strong SQL skills • Proficiency in Python and/or Scala • Experience with semantic modelling, metric layers, or business-friendly data abstractions • Solid understanding of data warehousing and dimensional modelling • Experience building testing and validation frameworks for analytics or AI systems • Familiarity with large language models (LLMs), prompt engineering, or retrieval augmented generation (RAG) • Experience with at least one cloud platform: AWS, Azure, or GCP • Strong analytical, problem-solving, and stakeholder management skills • Ability to work across cross-functional teams in a fast-paced environment • Experience with semantic modelling tools such as dbt, LookML, or Databricks Metric Views is preferred • Experience with BI tools such as Power BI, Tableau, or Looker, and their integration with Databricks SQL is preferred

🏖️ Benefits

• Competitive compensation package commensurate with experience • Government-mandated benefits plus supplemental Health Insurance • Collaborative and professional work environment • Career growth opportunities within a growing organization • Remote work arrangement • Employee training and development opportunities • Valued and respected workplace culture

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