Data Engineer (ID:

As a Data Engineer, you will:

• Design, build, and maintain scalable data pipelines using Databricks, Spark, and Python
  
• Develop and manage data transformation workflows using dbt
  
• Implement and maintain ETL/ELT processes using Azure Data Factory
  
• Work with SQL Server to manage, query, and optimize structured data
  
• Create data models and support data architecture initiatives
  
• Develop dashboards and reporting solutions using Power BI
  
• Integrate data from multiple sources ensuring consistency and quality
  
• Support legacy and reporting systems using SSIS and SSRS (preferred)
  

What You Bring to the Table:

• 8+ years of experience as a Data Engineer
  
• Strong hands-on experience with Databricks, Spark, and Python
  
• Solid experience in Azure Data Factory for data orchestration
  
• Proficiency in SQL Server and advanced SQL querying
  
• Experience working with dbt for data transformation
  
• Exposure to Power BI for reporting and visualization
  
• Familiarity with SSIS and SSRS (preferred)
  
• Strong understanding of data architecture and data modeling concepts
  

You should possess the ability to:

• Design efficient and scalable data pipelines and workflows
  
• Optimize performance of SQL queries and Spark jobs
  
• Handle large-scale data processing and transformation
  
• Translate business requirements into technical data solutions
  
• Ensure data quality, integrity, and governance
  
• Work independently and manage multiple data engineering tasks
  
• Collaborate with cross-functional teams for data-driven solutions
  
• Troubleshoot and resolve data-related issues effectively
  

What we bring to the table:

• Opportunity to work on modern data engineering tools and technologies
  
• Exposure to Azure-based data platforms and architecture
  
• A role focused on end-to-end data lifecycle management
  
• Hands-on experience with Databricks, dbt, and Power BI ecosystems
  
• Challenging projects involving large-scale data processing
  
• Collaborative environment working with data and analytics teams
  

Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter:Aswin Dhanvandhar
Phone: +31 20 369 0609 ; Extn :141
Email:
LinkedIn:https://www.linkedin.com/in/aswin-dhanvandhar/