
Unlock Your Potential as a Senior Data Engineer
1 day ago
Role Overview:
As a seasoned professional in data engineering, you will have the opportunity to design and implement innovative Azure solutions using Databricks notebooks with Pyspark. You will be responsible for ensuring data quality and integrity throughout the pipeline.
Key Responsibilities:
- Develop and maintain scalable data pipelines using Databricks notebooks with Pyspark.
- Collaborate with cross-functional teams to design and implement data architectures that meet business requirements.
- Optimize data storage and retrieval processes to ensure high-performance querying.
- Ensure data governance and compliance by implementing robust data validation and monitoring.
- Build and maintain ETL/ELT processes to load transformed data into storage and reporting structures.
- Design and implement data security and access controls to protect sensitive data.
Requirements:
- Proven experience with data engineering and Azure services.
- Strong understanding of data architecture and design principles.
- Expertise in Python programming and familiarity with Pyspark.
- Ability to work collaboratively as part of a team.
- Excellent communication and problem-solving skills.
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