Snowflake Data Engineer

# Snowflake Data Engineer ## Job Summary The Snowflake Data Engineer internship focuses on designing, developing, and maintaining robust and scalable data pipelines using Snowflake and other modern cloud-based tools. The role emphasizes optimizing data workflows, ensuring data quality and security, and supporting cross-functional teams with data-driven solutions. This position contributes directly to the organization’s ability to make informed, data-driven decisions by providing high-quality, well-architected data infrastructure. ## Responsibilities - Design, develop, and maintain scalable data pipelines using Snowflake and other cloud-based tools. - Implement data ingestion, transformation, and integration processes from various sources (e.g., APIs, flat files, databases). - Optimize Snowflake performance through clustering, partitioning, and query tuning. - Collaborate with data analysts, data scientists, and business stakeholders to understand and deliver on data requirements. - Ensure data quality, integrity, and security across all data pipelines and storage solutions. - Develop and maintain comprehensive documentation related to data architecture, processes, and best practices. - Monitor and troubleshoot data pipeline issues, ensuring timely diagnosis and resolution. - Utilize and work with tools such as medallion architecture, Matillion, DBT models, and SNP Glu. ## Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field. - 2–3 years of experience in data engineering or a similar role. - Strong hands-on experience with **Snowflake** (data modeling, performance tuning, SnowSQL, etc.). - Proficiency in **SQL** and experience with scripting languages like **Python** or **Shell**. - Experience with ETL/ELT tools such as **dbt**, **Apache Airflow**, **Informatica**, or **Talend**. - Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, or Data Factory. - Solid understanding of data warehousing concepts and best practices. - Excellent communication skills, a willingness to reskill, and the ability to develop strong stakeholder relationships. - Active team player, dedicated to innovation and going the extra mile. ## Preferred Skills - Experience with medallion architecture, Matillion, DBT models, and SNP Glu. - Demonstrated ability to adapt to new technologies and tools quickly. - Prior experience in a fast-paced, collaborative environment. ## Experience - Minimum 3 years of relevant experience in data engineering or a similar field. ## Environment - Location: Not specified (please inquire during the application process). - Work Setting: Details not specified; may vary based on company needs (remote, hybrid, or on-site). - Internship position with immediate start; deadline to apply is June 26, 2025.