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Description:
Remotebase is seeking a seasoned Principal Data Engineer with over 6 years of experience in data engineering, data modeling, and data architecture.
The ideal candidate will lead the design, development, and optimization of data models and architectures for large-scale data warehouses and data lakes.
Responsibilities include architecting, building, and maintaining ETL pipelines integrating data from various sources, conducting data analysis, developing dashboards, and driving data pipeline development using AWS Glue and DBT.
The role involves overseeing database management, CI/CD pipeline integration, and utilizing Excel and Tableau for data analysis and visualization.
Requirements:
Minimum 6 years of hands-on experience in data engineering, focusing on data modeling, architecture, and data warehouse/lake development.
Extensive experience in building and maintaining complex ETL pipelines from multiple data sources.
Expert-level Python coding skills with a strong understanding of software development best practices.
Proven experience in developing data pipelines using AWS Glue (Spark) and DBT.
In-depth knowledge of databases and storage tools like PostgreSQL, MongoDB, Redis, S3, Redshift, etc.
Strong experience with CI/CD pipelines and git repositories.
Advanced proficiency in Excel and Tableau for data analysis and dashboard creation.