The Role
Design, develop, and optimize scalable data solutions and pipelines using Azure Databricks, PySpark, Spark, Azure Data Factory, and SQL. Implement CI/CD with Azure DevOps, ensure production performance and reliability, and collaborate across teams to deliver enterprise-grade data engineering solutions.
Summary Generated by Built In
As a Senior Databricks Engineer, you will:
- Design, develop, and optimize data solutions using Azure Databricks, PySpark, and Apache Spark.
- Build and maintain data pipelines integrating Azure Data Factory, Databricks, and SQL.
- Implement DevOps practices using Azure DevOps for deployment, version control, and CI/CD.
- Ensure scalability, performance, and reliability of big data solutions in production environments.
- Collaborate with cross-functional teams to deliver high-quality data engineering solutions.
What You Bring to the Table:
- 10+ years of professional experience in data engineering and cloud-based solutions.
- Strong expertise in Azure Databricks, PySpark, Apache Spark, Python, and SQL.
- Hands-on experience with Azure Data Factory for building and orchestrating data workflows.
- Solid understanding of CI/CD pipelines and DevOps practices using Azure DevOps.
- Proven track record of working with large-scale, enterprise-grade data solutions.
You should possess the ability to:
- Work independently while collaborating effectively within a team.
- Troubleshoot, debug, and optimize complex data workflows and pipelines.
- Adapt to fast-paced environments and deliver results under tight timelines.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
- Apply analytical thinking to solve data-related challenges.
What We Bring to the Table:
- Opportunities to work with cutting-edge Azure cloud and big data technologies.
- A collaborative and innovative environment that encourages knowledge sharing.
- Exposure to challenging and impactful projects within digital transformation.
- Support for professional growth and continuous skill development.
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: [email protected]
LinkedIn:https://www.linkedin.com/in/aswin-dhanvandhar/
Skills Required
- 10+ years of professional experience in data engineering and cloud-based solutions.
- Strong expertise in Azure Databricks, PySpark, Apache Spark, Python, and SQL.
- Hands-on experience with Azure Data Factory for building and orchestrating data workflows.
- Solid understanding of CI/CD pipelines and DevOps practices using Azure DevOps.
- Proven track record of working with large-scale, enterprise-grade data solutions.
- Ability to troubleshoot, debug, and optimize complex data workflows and pipelines.
- Ability to work independently while collaborating effectively within a team.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
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The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
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