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Kochi · On-site · 6-9 Yrs · Oct 12
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Job Title: Senior Developer - Azure Databricks, Unity Catalog & Genie AI
Responsibilities
- We are seeking an experienced Senior Developer - Azure Databricks to design, develop, and optimize enterprise-scale data and AI platforms on Azure. The ideal candidate will possess strong expertise in Azure Databricks, Unity Catalog, Delta Lake, Medallion Architecture, and hands-on experience with Databricks Genie AI for conversational analytics and AI-driven data consumption.
- The role involves building modern data platforms, implementing governance frameworks, enabling self-service analytics, and supporting AI/GenAI initiatives across business functions.
- Design and develop scalable data pipelines using Azure Databricks and Apache Spark.
- Implement ETL/ELT solutions for structured, semi-structured, and unstructured data.
- Develop and optimize Delta Lake-based data platforms following Medallion architecture (Bronze, Silver, Gold).
- Create reusable frameworks for ingestion, transformation, data quality, and monitoring.
- Optimize Spark workloads for performance, scalability, and cost efficiency.
- Design and implement enterprise data governance using Unity Catalog.
- Configure catalogs, schemas, tables, views, and external locations.
- Implement fine-grained access controls including row-level and column-level security.
- Establish data lineage, metadata management, and governance policies.
- Collaborate with data stewards and security teams to ensure compliance and auditability.
- Develop and configure Genie Spaces for conversational analytics.
- Enable natural language querying for business users across governed data domains.
- Create semantic layers, business definitions, and trusted datasets for Genie.
- Partner with business stakeholders to improve data discoverability and self-service adoption.
- Integrate Genie with enterprise AI and analytics use cases.
- Collaborate with Data Scientists and ML Engineers for model operationalization.
Qualifications
- Location: Bengaluru / Gurgaon/ Kochi
- Employment Type: Full-Time
- 6+ years of experience in Data Engineering.
- 4+ years of hands-on experience with Azure Databricks.
- Strong expertise in:
- Apache Spark (PySpark)
- Delta Lake
- Unity Catalog
- Databricks Workflows
- Databricks SQL
- Experience implementing Medallion Architecture and Lakehouse solutions.
- Strong understanding of data modelling principles and dimensional modelling.
- Experience with Azure ecosystem:
- Azure Data Factory
- Azure Storage (ADLS Gen2)
- Azure Key Vault
- Azure Entra ID (Azure AD)
- Experience with Git, CI/CD, and DevOps practices.
- Catalog and schema management.
- Data lineage and metadata governance.
- Security and access management.
- External locations and storage credentials.
- Regulatory compliance and audit support.
- Designing Genie Spaces and conversational experiences.
- Creating trusted semantic datasets.
- Natural language query optimization.
- Business glossary and metadata integration.
- User enablement and self-service analytics adoption.
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Job application FAQ
Last updated 30 October 2026
- How do I apply for Azure Databricks Developer (SJ-IQ) at SE Mentor?
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- Is Azure Databricks Developer (SJ-IQ) remote or on-site in Kochi, Keralam?
- This listing is marked on_site with location Kochi, Keralam. Confirm details on the job description before applying.
- What skills matter for this Azure Databricks Developer (SJ-IQ) role at SE Mentor?
- This is a mid-level Azure Databricks Developer (SJ-IQ) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.