Azure Lead Data Engineer designing and developing ETL/ELT pipelines with Azure Data Factory and Snowflake. Collaborating with cross-functional teams in a cloud-native environment.
Responsibilities
Design and develop **ETL/ELT pipelines** using **Azure Data Factory**, **Snowflake**, and **DBT**.
Build and maintain **data integration workflows** from various data sources to Snowflake.
Write efficient and optimized **SQL queries** for data extraction and transformation.
Work with stakeholders to understand business requirements and translate them into technical solutions.
Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
Maintain and enforce data quality, governance, and documentation standards.
Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
8+ years of experience in data engineering roles using Azure and Snowflake.
Strong problem-solving, communication, and collaboration skills.
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