Roles and Responsibilities :

- Required Skills:

- Hands-on experience building up-to-date data platforms on Azure using tools and services such as: Azure Databricks, Azure Data Factory, ADLS Gen2, SQL Database, Microsoft Fabric, Event Hub, Stream Analytics, Cosmos DB, Azure Purview, Log Analytics, and Azure Data Explorer.
- Deep expertise in the Databricks ecosystem, including: PySpark, Notebooks, Unity Catalog, Delta Live Tables, Workflows, SQL Warehouse, Mosaic AI, AI/BI Genie.
- Experience of designing and developing metadata-driven frameworks (relevant for Data Engineering processes).
- Strong programming, debugging, and performance tuning skills in Python and SQL.
- Experience with Agentic AI-assisted engineering using tools like Claude Code, Gemini Code, Codex, Copilot, etc., including effective use of Claude Skills, CLAUDE.md / AGENTS.md, MCP tools, hooks and repo-level coding workflows.
- Ability to design, guide, and review AI-generated code responsibly,



including prompt/task decomposition, context engineering, tool configuration, guardrails, testing, debugging, and production-quality code validation.
- Good Experience of Data modeling (both Dimensional and 3-NF)
- Good Exposure to developing LLM/GenAI-powered applications.
- Sound understanding of CI/CD processes using Git and Jenkins or Azure DevOps.
- Familiarity with big data platforms such as Cloudera (CDH) or Hortonworks (HDP) is a plus.
- Exposure to technologies like Neo4j, Elasticsearch, and vector databases is desirable.

- Job Requirements :

- 11-17 years of experience in IT Services & Consulting industry.
- Strong expertise in Azure Databricks platform including its features such as SQL queries, stored procedures, functions etc. .
- Experience with big data technologies like Spark (Hadoop) is required.

📌 Azure Architect (Hyderabad)
🏢 RedBox HR Consulting
📍 Hyderabad