Databricks Engineer

Job
Description – Lead/Senior Databricks Engineer

Role Summary

We are looking
for a skilled Data Engineer with strong experience in Databricks and Azure Cloud to design, develop, and optimize scalable data pipelines
and modern data platforms. The ideal candidate should have expertise in big
data technologies, ETL development, and cloud-based data engineering.

Key
Responsibilities

• Design and develop scalable ETL/ELT pipelines using Databricks and PySpark.
  
• Build and optimize data ingestion frameworks from
  multiple data sources.
  
• Develop data pipelines using Azure Data Factory
  (ADF).
  
• Work with Azure Data Lake Storage (ADLS Gen2) for storing and processing large datasets.
  
• Implement Delta Lake and Lakehouse
  architecture concepts.
  
• Optimize Spark jobs for performance and scalability.
  
• Develop data transformations using SQL and PySpark.
  
• Collaborate with data architects, analysts, and
  business stakeholders.
  
• Implement CI/CD pipelines and deployment automation.
  
• Ensure data quality, security, and governance
  standards.
  

Required
Skills

• Strong hands-on experience with Databricks
  
• Proficiency in PySpark and Spark SQL
  
• SSIS, Essbase, SQL Server, Data Warehouse, Stored
  Procedure, Views Triggers
  
• Experience with Microsoft Azure
  
• Good knowledge of:
  
• Azure Data Factory (ADF)
  
• Azure Data Lake Storage (ADLS)
  
• Delta Lake
  
• Azure Synapse Analytics
  
• Strong SQL and data modeling skills
  
• Experience with Git and CI/CD processes
  
• Knowledge of performance tuning and optimization
  

Preferred
Skills

• Experience with:
  
• Streaming using Spark Structured
  Streaming
  
• Kafka/Event Hub
  
• Data Warehousing concepts
  
• DevOps and Infrastructure as Code
  
• Knowledge of:
  
• Data Governance
  
• Data Quality frameworks
  
• Medallion Architecture (Bronze,
  Silver, Gold)
  

Educational
Qualification

• Bachelor's degree in Computer Science, Information
  Technology, or related field.
  
• Relevant Azure or Databricks certifications are
  preferred.
  

Nice to Have
Certifications

• Databricks Certified Data Engineer Associate
  
• Microsoft Certified Azure Data Engineer Associate
  

Requirements

Required
Skills

• Strong hands-on experience with Databricks
  
• Proficiency in PySpark and Spark SQL
  
• SSIS, Essbase, SQL Server, Data Warehouse, Stored
  Procedure, Views Triggers
  
• Experience with Microsoft Azure
  
• Good knowledge of:
  
• Azure Data Factory (ADF)
  
• Azure Data Lake Storage (ADLS)
  
• Delta Lake
  
• Azure Synapse Analytics
  
• Strong SQL and data modeling skills
  
• Experience with Git and CI/CD processes
  
• Knowledge of performance tuning and optimization