Snowflake Data Engineer
@ Neshent TechnologiesSnowflake Data Engineer
About the job
Join a data-driven company as a Snowflake Data Engineer, focusing on building scalable data pipelines, warehousing solutions, and supporting cloud data initiatives.
Requirements
- Strong SQL and Python skills
- Experience with Snowflake and Snowpark
- ELT pipeline development
- Data warehousing and modeling
- Knowledge of cloud architectures
Qualifications
- 7+ years data engineering
- 4+ years Snowflake experience
- Data modeling expertise
- Analytical and problem-solving skills
Full job description
We are seeking an experienced Snowflake Data Engineer with strong expertise in Snowflake, Python, SQL, Snowpark, and ELT pipeline development. The ideal candidate will have a strong background in data engineering, data warehousing, data modeling, and enterprise cloud data architectures.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Snowflake, Python, SQL, and Snowpark.
- Develop and optimize ELT pipelines for enterprise data environments.
- Design and implement data warehouse solutions and data models.
- Work with Dimensional and Data Vault modeling methodologies.
- Support enterprise cloud data architecture and data integration initiatives.
- Optimize data pipelines and Snowflake workloads for performance and scalability.
- Collaborate with data, engineering, and business teams to deliver reliable data solutions.
Qualifications
- 7+ years of experience in Data Engineering.
- 4+ years of hands-on Snowflake experience.
- Strong expertise in Python, SQL, Snowpark, and ELT pipeline development.
- Experience with Data Warehousing and Data Modeling, including Dimensional and Data Vault methodologies.
- Strong understanding of enterprise cloud data architectures.
- Excellent analytical and problem-solving skills.
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