Description:

Join a growing technology company focused on market intelligence and software solutions.
Take ownership of complex data engineering challenges involving large-scale data processing, standardization, matching, and data quality.

Requirements:

4+ years of hands-on Data Engineering experience with production data systems.
Strong Python skills and experience with PySpark / Apache Spark.
Experience building and maintaining ETL/ELT and data ingestion pipelines.
Strong SQL and data modeling skills.
Experience with modern data platforms and understanding of data quality and reliability.
Fluent English.

Skills