Job Description
Description
Finance
Requirements
Experience: 8+ years of professional experience working specifically with data, ETL tools, and data architecture.
Database: Expert-level proficiency in SQL.
Strong preference for experience with cloud data platforms like Snowflake.
Transformation: Deep experience with dbt (Data Build Tool) for managing transformations and data quality.
Programming: Solid working experience with Python for data manipulation and scripting.
Architecture: Proven ability to implement and manage modern data architectures (e.g., Data Lake, Data Warehouse, Lakehouse).
Orchestration: Experience developing and maintaining production-level DAGs in Apache Airflow.
Experience with AWS
Job responsibilities
Design, develop, and maintain robust, scalable, and efficient ETL/ELT data pipelines.
Develop complex data transformation logic using dbt (Data Build Tool) and advanced SQL.
Implement, moni...
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