Job description

Role: Data Engineer (Azure and Snowflake) Location: Seattle, WA (Onsite) Job Type: Full Time Must Have Skills: Snowflake, Azure, SQL Required: • The ideal candidate will be passionate about working with cutting-edge technologies to solve complex data engineering challenges. • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent experience). • Proven experience as a Data Engineer with expertise in Azure, Databricks, DBT, and Snowflake. • Strong experience with Azure Data Factory, Azure Databricks, Azure Data Lake, and other Azure cloud services for data integration and processing. • Proficiency with DBT for implementing data transformation workflows, creating models, and writing SQL-based scripts. • Expertise in working with Snowflake for data warehousing, including experience with schema design, performance tuning, and optimization. • Strong experience with Apache Spark and working in Databricks for large-scale data processing. • Solid programming skills in SQL (advanced), Python, and Scala for developing data pipelines and transformation logic. • Experience with ETL/ELT processes, data orchestration, and automating data workflows using Azure and DBT. • Knowledge of data governance, security, and best practices for cloud data architectures. • Familiarity with version control systems like Git, and experience in Agile environments. Preferred: • DBT Certifications or experience with advanced features such as DBT testing, macros, and hooks. • Azure, Databricks or Snowflake certifications • Experience with Snowflake performance tuning, including optimization of queries, schemas, and data partitioning. • Familiarity with CI/CD practices and experience building automated pipelines for data workflows. • Knowledge of cloud cost optimization in Azure and Snowflake for better resource utilization.

Requirements