Data Engineer
2 weeks ago
Design, develop, and maintain scalable and efficient data pipelines and ETL processes to support data integration and analytics
Collaborate with data scientists, analysts, and developers to understand data requirements and translate them into technical solutions
Implement data ingestion processes from various sources, including structured and unstructured data
Perform data cleansing, transformation, and aggregation to ensure data quality and accuracy
Develop and optimize database schemas and SQL queries for efficient data retrieval and analysis
Monitor and troubleshoot data pipelines to ensure data integrity and identify and resolve issues
Implement data governance and security measures to protect sensitive information
Stay up-to-date with emerging technologies and trends in data engineering and recommend improvements to existing systems and processes
Requirements
Proficiency in Python for data manipulation and scripting
Experience with PySpark for distributed data processing and analytics
Strong SQL skills for data querying, analysis, and optimization
Excellent problem-solving and communication skills
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