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

• Bachelors 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
  

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