Data Engineer
Core
Design, develop, and maintain data solutions for data generation, collection, and processing, including creating data pipelines and implementing ETL processes.
Role type
Senior Data Engineer
Builds
Data pipelines and ETL processes for data migration and deployment across systems
Domain
Data Engineering / Big Data
Deliverable
production ML models
Required skills
PySpark, data modeling, database design, cloud platforms (AWS/Azure), data warehousing, big data technologies
Preferred skills
Data Engineering experience
Technologies
PySpark, AWS, Azure
Responsibilities
Develop and optimize data pipelines to ensure efficient data flow and processing; Monitor and troubleshoot data quality issues, implementing corrective actions as necessary
Seniority
Senior, hands-on IC
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