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Databricks Engineer

Databricks Engineer

CozzeraAgra, IN
4 days ago
Job description

Databricks Engineer

Experience : 7–12 years

Location-Remote

Overview

We are looking for an experienced Databricks Engineer with deep expertise in designing, building, and optimizing modern data platforms on Azure and Databricks . The ideal candidate will serve as the go-to expert for Databricks platform architecture, Unity Catalog, and emerging Databricks capabilities such as Genie, Vector Search, and Agent Bricks.

Key Responsibilities

  • Architect, design, and implement scalable, secure, and high-performance data solutions using Azure and Databricks .
  • Act as a subject matter expert on Azure Data Services and Databricks platform architecture.
  • Design and implement POCs leveraging modern data architecture patterns (e.g., Lakehouse, Delta Lake, Medallion architecture).
  • Build and optimize data pipelines for both real-time and batch processing, including API integrations .
  • Support DevOps, CI / CD , and monitoring practices for data workloads.
  • Implement self-serve data layers tailored to different user personas.
  • Collaborate effectively with client architecture and platform teams; strong communication and leadership in technical discussions.
  • Evaluate and experiment with new Databricks offerings (e.g., Genie, Vector Search, Agent Bricks, LakeFlow ) through rapid POCs.

Required Skills & Experience

  • 8–12 years of total experience in Data Engineering / Data Architecture .
  • Strong hands-on experience with Databricks , Unity Catalog , and Azure Data Services (e.g., Azure Data Factory, Synapse, ADLS).
  • Solid understanding of data management, governance , and security principles.
  • Experience with Delta Lake , Lakehouse architecture , and modern ETL / ELT best practices.
  • Familiarity with Python , PySpark , and SQL for data engineering.
  • Exposure to real-time streaming frameworks (e.g., Kafka, Event Hubs) is a plus.
  • Excellent communication and client-facing skills.
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    Engineer • Agra, IN

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