
Data Architectural Specialist
1 week ago
The role of a Senior Data Engineer involves designing, building and operating scalable on-premises or cloud data architecture.
Key Responsibilities:
- Develop technical specifications from business requirements
- Implement data engineering solutions using Databricks on cloud platforms (AWS, Azure)
- Design and maintain scalable data pipelines and ETL processes
- Collaborate with data scientists and analysts to understand data requirements and implement solutions for analytics and machine learning initiatives
- Optimize data storage and retrieval mechanisms for performance, reliability and cost-effectiveness
- Implement data governance and security best practices for compliance and data integrity
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering or a related field
- 6-10 years experience in data engineering, with focus on designing and building data pipelines
- 5+ years experience in Databricks and Spark in at least two end-to-end data engineering implementations
- Comprehensive understanding of Databricks products and ecosystem
- Strong programming skills in languages such as Python, Scala or SQL
- Experience with data modeling, ETL processes and data warehousing concepts
- Familiarity with containerization technologies and orchestration tools
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