Senior Azure Data Engineer: Databricks & PySpark
Summary
Designs and maintains robust data pipelines using Databricks, PySpark, and Azure Data Factory. Focuses on scalable solutions with strong data governance, quality, and lineage.
- Design, develop, and maintain robust data pipelines using Databricks, PySpark, Azure Data Factory, and Python.
Overweegt u te solliciteren op deze baan? Wacht niet langer, scroll naar beneden en solliciteer zo snel mogelijk om deze kans niet te missen. - Implement scalable data solutions with a strong focus on data governance, data quality, and data lineage.
- Develop and optimize data processing workflows to support reliable and high-quality data delivery.
- Work with cloud-based data engineering technologies to build and maintain enterprise-grade data solutions.
- 10+ years of experience in Data Engineering.
- Strong hands-on experience with Databricks.
- Strong experience with PySpark.
- Experience with Azure Data Factory (ADF).
- Strong Python scripting skills.
- Experience implementing data governance, data quality, and data lineage.
- Proven experience designing and maintaining robust data pipelines.
- Build scalable and reliable data pipelines.
- Apply data governance and data quality principles across data solutions.
- Develop efficient data processing solutions using PySpark and Python.
- Work effectively with Databricks and Azure Data Factory.
- Troubleshoot and optimize data pipelines and processing workflows.
- Opportunity to work on large-scale data engineering solutions.
- Exposure to modern data technologies including Databricks, PySpark, Azure Data Factory, and Python.
- Opportunity to contribute to data governance, data quality, and data lineage initiatives.
- A professional environment focused on building robust and scalable data solutions. xgiwjmb
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