Databricks Data Engineer

Job Title: Databricks Data
Engineer

Location:  Remote

About the Role

We are looking for a skilled Databricks Data Engineerto
design, develop, and optimize scalable data solutions using Databricks SQL.
The ideal candidate should have strong expertise in SQL, performance tuning,
and cloud-based data platforms such as AWS, Azure, or GCP.

Key Responsibilities

• Develop,
  maintain, and optimize SQL queries and notebooks in Databricks for
  data transformation, aggregation, and analytics.
  
• Optimize Databricks SQL workloads for performance, scalability, and cost
  efficiency.
  
• Monitor,
  debug, and troubleshoot SQL queries, dashboards, and workflows.
  
• Work
  with large-scale datasets in distributed computing environments.
  
• Collaborate
  with data engineers, analysts, and stakeholders to deliver data-driven
  solutions.
  
• Implement
  best practices for query performance tuning, caching, and indexing
  strategies.
  
• Build
  and maintain data pipelines using Databricks Workflows and Delta
  Live Tables.
  

Required Qualifications

• 6years
  of hands-on experience in SQL development and query optimization.
  
• Strong
  expertise in Databricks SQL, Delta Lake, and Lakehouse
  architecture.
  
• Experience
  with cloud platforms such as AWS, Azure, or GCP (preferably Azure
  Databricks or AWS Databricks).
  
• Good
  understanding of performance tuning, caching strategies, and query
  optimization techniques.
  
• Familiarity
  with ETL/ELT frameworks, Data Warehousing, and BI tools.
  
• Hands-on
  experience with:

• Databricks
  Notebooks
  
• Databricks
  Workflows
  
• Delta
  Live Tables
  
• Ability
  to handle large datasets and distributed systems.
  
• Strong
  analytical, problem-solving, and communication skills.
  

Preferred Qualifications

• Experience
  using SQL for advanced data processing and analytics.
  
• Knowledge
  of Medallion Architecture (Bronze, Silver, Gold layers).
  
• Exposure
  to data visualization tools like Power BI, Tableau, or similar.