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Brillio 214d ago
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Databricks Data Specialist - R01569707

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OtherData Specialist
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Quick Summary

Overview

Data Specialist Databricks Engineer Role Overview We are seeking a highly skilled Databricks Engineer to design, develop,

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OtherData Specialist
Data Specialist

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.

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.

Responsibilities

~2 min read
  • →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.
  • →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.

    • Requirements

    ~1 min read
  • 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
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related discipline.
  • Proven experience in designing and implementing cloud-based data engineering solutions and scalable data pipelines.
  • Strong analytical, troubleshooting, and problem-solving capabilities.
  • Experience working in agile and collaborative environments.
  • Excellent communication and stakeholder management skills.
  • 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
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related discipline.
  • Proven experience in designing and implementing cloud-based data engineering solutions and scalable data pipelines.
  • Strong analytical, troubleshooting, and problem-solving capabilities.
  • Experience working in agile and collaborative environments.
  • Excellent communication and stakeholder management skills.

    • Nice to Have

    ~1 min read
  • Hands-on experience with modern Lakehouse architectures and enterprise-scale data platforms.
  • Strong understanding of data governance, security, and compliance frameworks.
  • Experience delivering both batch and real-time data processing solutions.
  • Ability to work independently while collaborating effectively across global teams.
  • Hands-on experience with modern Lakehouse architectures and enterprise-scale data platforms.
  • Strong understanding of data governance, security, and compliance frameworks.
  • Experience delivering both batch and real-time data processing solutions.
  • Ability to work independently while collaborating effectively across global teams.
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Microsoft Purview
  • Microsoft Fabric
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Microsoft Purview
  • Microsoft Fabric
  • AWS Glue
  • AWS Lambda
  • AWS Step Functions
  • AWS Glue
  • AWS Lambda
  • AWS Step Functions
  • Apache Airflow
  • DBT
  • Fivetran
  • Informatica
  • Apache Airflow
  • DBT
  • Fivetran
  • Informatica
  • Apache Kafka
  • Power BI
  • Apache Kafka
  • Power BI
  • Collibra
  • Alation
  • Collibra
  • Alation
  • BigQuery
  • BigQuery
  • Databricks Engineering: Lead Data Engineer

    • Location & Eligibility

    Where is the job
    Bangalore, India
    Hybrid — some on-site time required
    Who can apply
    IN

    Listing Details

    Posted
    August 10, 2026
    First seen
    August 14, 2026
    Last seen
    August 24, 2026

    Posting Health

    Days active
    0
    Repost count
    0
    Trust Level
    62%
    Scored at
    August 14, 2026

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