We are looking for an experienced
Senior Data Engineer
with strong hands-on expertise in
Databricks, Lakehouse Architecture, PySpark, Real-Time Data Processing, AI/GenAI solutions, and automated deployment processes
.
The ideal candidate will design, develop, and support scalable batch and streaming data platforms while leveraging contemporary Databricks capabilities such as
Lakeflow, Unity Catalog, Delta Lake, and AI/GenAI technologies
.
The candidate should be able to work independently, communicate effectively with business and technical stakeholders, and deliver high-quality solutions with minimal supervision.
Mandatory Skills
Candidates Must Have Strong Hands-on Experience In:
Databricks and contemporary Lakehouse Architecture
Integration of enterprise data platforms with AI-driven applications
Automated deployment and release processes / CI/CD
Technical SkillsDatabricks & Data Engineering
Strong hands-on experience with Databricks
Contemporary Lakehouse Architecture
PySpark
Spark Structured Streaming
SQL
NoSQL databases
Delta Lake
Unity Catalog
Databricks Workflows and Job Orchestration
Bronze, Silver, and Gold layer architecture
Batch and real-time data processing
Databricks Lakeflow
Hands-on Experience With:
Lakeflow
Declarative Pipelines
Lakeflow Connect
Change Data Capture (CDC)
Incremental Data Processing
Data Quality Validation
Pipeline monitoring and optimization
AI / Generative AI
Experience Building Or Integrating:
AI Agents
Copilots
Generative AI solutions
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Vector Search
Prompt Engineering
Candidates should understand how enterprise data platforms can be integrated with AI-powered applications.
Data Governance & Security
Experience With:
Unity Ca
📌 Senior Data Engineer – Databricks Chennai
🏢 Umanist NA
📍 Chennai
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