34 Snowflake Data Engineer Jobs

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_____________________________________________________________________________________ Snowflake Data Engineer • Proven experience with Matillion and SNP Glue for building scalable ETL/ELT pipelines. • Strong knowledge and hands-on experience with Snowflake cloud data warehouse. • Hands on Experience with Pipes, Tasks, Metadata tables in Snowflake • Expertise in RDBMS systems (e.g., Oracle, SQL Server, PostgreSQL) and SAP HANA database. • Solid understanding of data modeling, transformations, and query optimization. • Proficiency in SQL is a must. • Experience with data integration and API-based ingestion techniques. • Familiar with Agile methodologies and can adapt to rapidly changing environments also good experience in working with cross functional teams. • Thorough understanding of CI/CD techniques and methodologies. • Documentation of standard operations and RCA of production issues and fixes applying to resolve it. Key Responsibilities

• Design and implement robust data pipelines using Azure Data Factory and Azure Databricks
• Develop and optimize ETL/ELT processes for data integration from multiple sources.
• Create and maintain scalable data models following dimensional modeling best practices.
• Implement data solutions using Azure Data Lake Storage for large-scale data processing.
• Monitor and optimize pipeline performance, reliability, and availability.
• Collaborate with architects and business teams to develop technical designs.
• Ensure data quality, security, and compliance standards.

Technical Requirements

• Azure Technologies
• Advanced experience with Azure Data Factory
• Expertise in Azure Databricks
• Proficiency with Azure Data Lake Storage
• Experience with Azure Synapse Analytics

Programming & Tools

• Strong SQL skills including complex queries and stored procedures.
• Expertise in PySpark for large-scale data processing.
• Python programming for data transformation and analysis.
• Experience with data modeling tools and techniques.

Qualifications

• Bachelor's degree in computer science, Information Technology, or related field.
• 3+ years of experience in Azure data engineering.
• Proven experience in enterprise-level data warehouse implementations.
• Strong understanding of data warehousing concepts (Kimball, 3NF)
• Experience working in Agile development environments.

Required Skills

• Ability to design and optimize complex data models.
• Strong analytical and problem-solving capabilities
• Experience with CI/CD implementation for data solutions.
• Expertise in data quality management and validation.
• Excellent communication and collaboration abilities.