Working Student contributing to data engineering projects for AI/ML workflows while gaining hands - on experience with data pipelines and tools.
About the role
- Azure Data Engineer designing ETL/ELT pipelines to integrate data using Azure Data Factory and Snowflake. Collaborating with stakeholders to ensure data quality and performance 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.
- 6+ 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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