Overview
The Senior Data Engineer role primarily focuses on building and maintaining robust data pipelines, with a significant emphasis on designing and optimizing Snowflake data models. The engineer will collaborate with other data professionals to implement data quality frameworks and integrate various data sources, including Salesforce and external data.
Responsibilities
- Build and maintain data pipelines to support various data initiatives.
- Design and optimize Snowflake data models for improved performance.
- Implement data quality frameworks to ensure data integrity.
- Integrate Salesforce, transactional, and external data sources into data workflows.
Requirements
- Proven experience with Azure Data Lake and ADLS Gen2.
- Proficiency in Snowflake, including data modeling and ELT processes.
- Strong skills in SQL and Python programming languages.
- Experience with dbt, Apache Airflow, or similar orchestration tools.
- Familiarity with Salesforce data integration techniques.
- Knowledge of Azure Data Factory and Databricks with PySpark.
- Solid understanding of ETL/Data Warehousing architectures.