Azure Data Architect

Job Title:

Experience:

About the Role:

Data Architect / Senior Data Engineer

Databricks and AI/ML projects

Key Responsibilities:

• Design, develop, and maintain scalable data systems and architectures.
  
• Develop and implement ETL pipelines using a variety of tools and technologies.
  
• Collaborate with cross-functional teams to define and implement data models.
  
• Work with big data tools including Hadoop, Spark, PySpark, and Kafka.
  
• Build efficient and high-performance data pipelines for batch and real-time processing.
  
• Troubleshoot data-related issues and optimize data workflows and systems.
  
• Transition and upskill into

  Databricks and AI/ML projects

  .

Requirements:

• 6+ years of experience in

  data engineering

  .
• Strong proficiency in

  Python, SQL, ETL, and data modeling

  .
• Experience with one or more of the following:
  
• Teradata
  
• Informatica
  
• Hadoop
  
• Spark / PySpark
  
• Azure Data Factory (ADF)
  
• Snowflake
  
• Big Data platforms
  
• Scala
  
• Kafka
  
• Knowledge of cloud platforms (AWS, Azure, or GCP) is a plus.
  
• Willingness to learn and adapt to new technologies, specifically

  Databricks & AI/ML

  .

Nice to Have:

• Hands-on experience with

  Databricks

  .
• Knowledge of AI/ML concepts and tools.
  
• Relevant certifications in data engineering or cloud technologies.
  

What We Offer:

• Competitive salary and benefits package.
  
• Opportunity to work on

  cutting-edge projects

  .
• Collaborative, dynamic, and growth-focused work environment.
  
• Professional growth and development opportunities.
  
• Flexible working hours and

  remote work options

  .