Data Specialist

Primary Skills

Databricks Engineer

Role Overview

We are seeking a highly skilled Databricks Engineer to design, develop, and optimize scalable data engineering and analytics solutions on the Databricks Lakehouse Platform. The ideal candidate will possess strong expertise in Databricks, PySpark, and SQL, with hands-on experience building batch and real-time data pipelines, implementing Lakehouse architectures, and ensuring data governance and performance optimization.

Key Responsibilities
- Design, develop, and maintain end-to-end data pipelines using Databricks and PySpark.
- Build and implement Lakehouse architectures utilizing Bronze, Silver, and Gold data layers.
- Develop and manage Delta Lake solutions with ACID transactions, schema enforcement, and data reliability features.
- Create, monitor, and optimize Delta Live Tables (DLT) pipelines.
- Implement scalable and efficient data ingestion processes using Auto Loader.
- Develop and manage real-time data processing solutions using Structured Streaming.
- Orchestrate, schedule,



and monitor data workflows using Databricks Workflows.
- Design and implement Lakehouse data models to support reporting, analytics, and business intelligence requirements.
- Establish and enforce data governance, security, and access controls using Unity Catalog.
- Optimize Spark jobs, SQL queries, and overall platform performance to ensure efficiency and scalability.
- Collaborate with cross-functional teams, including data analysts, architects, and business stakeholders, to deliver high-quality data solutions.

Required Skills (Must Have)
- Databricks Platform
- Delta Lake
- Delta Live Tables (DLT)
- Unity Catalog
- Databricks Workflows
- PySpark and Apache Spark
- Structured Streaming
- Auto Loader
- SQL
- Lakehouse Data Modeling
- Strong understanding of data engineering best practices and scalable data architectures

Preferred Skills (Positive to Have)

Azure Ecosystem
- Azure Data Factory (ADF)
- Azure Synapse Anal

📌 Databricks Data Specialist (Bengaluru)
🏢 Brillio
📍 Bengaluru