Snowflake Data Engineer
@ Neshent TechnologiesSnowflake Data Engineer
About the job
This company specializes in data engineering and cloud data architectures, focusing on building and optimizing data pipelines, data warehouses, and enterprise cloud solutions.
Requirements
- Strong expertise in Python
- Experience with Snowflake
- ELT pipeline development
- Data warehousing knowledge
- Data modeling skills
Qualifications
- 7+ years in Data Engineering
- 4+ years Snowflake experience
- 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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