Data Engineering Intern at Bynder providing technical solutions for digital asset management. Collaborating with teams to enhance user experience and improve software infrastructure.
About the role
- Lead Data Engineer designing ETL pipelines in Azure Data Factory and Snowflake. Collaborate with stakeholders while ensuring data quality and governance standards.
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 experience with Azure Cloud Platform services.
- Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines.
- Proficiency in SQL for data analysis and transformation.
- Hands-on experience with Snowflake and SnowSQL for data warehousing.
- Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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