Google Data Architect creating and optimizing data solutions using GCP technologies. Collaborating with teams to enhance enterprise data architecture across business functions.
About the role
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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