Posted on: 06/08/2026
Experience : 10+ Years
Location : Hyderabad (Hybrid)
Education : BE/B.Tech (CS) or equivalent
Job Summary :
We are looking for a Senior Data & AI Engineer with strong expertise in the Databricks ecosystem to build scalable data platforms, AI solutions, and high-impact POCs. The ideal candidate should have hands-on experience in Databricks Lakehouse, PySpark, Delta Lake, Unity Catalog, and AI/ML workloads.
Key Responsibilities :
- Design and implement scalable data pipelines using Databricks Lakehouse.
- Build ETL/ELT pipelines with PySpark, SQL, Delta Lake, and Structured Streaming.
- Implement data governance using Unity Catalog.
- Develop AI/ML solutions, LLM/RAG use cases, and rapid technical POCs.
- Optimize Databricks performance and collaborate with global teams.
Required Skills :
- 10+ years in Data Engineering.
- Strong expertise in Databricks, PySpark, Python, SQL, Delta Lake, and Unity Catalog.
- Experience with batch & streaming pipelines.
- Hands-on with MLflow, LLMs, or RAG frameworks.
- Excellent communication and problem-solving skills.
Preferred :
- Databricks Certification.
- Experience with AWS/Azure/GCP and BI tools.
The job is for:
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1661076