
Senior Data Engineer
1 day ago
Responsibilities:
· Designing, building, and operating scalable on-premises or cloud data architecture
· Analyzing business requirements and translating them into technical specifications
· Design, develop, and implement data engineering solutions using Databricks on cloud platforms (AWS, Azure)
· Design, develop, and maintain scalable data pipelines and ETL processes
· Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.
· Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness
· Implement data governance and security best practices to ensure compliance and data integrity
· Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring
· Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
· Overall 7 years of prior experience in data engineering, with a focus on designing and building data pipelines
· 4 years experience in Databricks and Spark in at least two end-to-end data engineering implementations
· Comprehensive understanding of the 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 orchestration tools is a plus.
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