Saransh
Overview
Role:
Data Engineer (Azure and Snowflake) Location:
Seattle, WA (Onsite) Job Type:
Full Time Must Have Skills:
Snowflake, Azure, SQL Responsibilities
The ideal candidate will be passionate about working with cutting-edge technologies to solve complex data engineering challenges. Qualifications
Bachelors 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 Qualifications
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. Additional Details
Seniority level: Entry level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting
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Role:
Data Engineer (Azure and Snowflake) Location:
Seattle, WA (Onsite) Job Type:
Full Time Must Have Skills:
Snowflake, Azure, SQL Responsibilities
The ideal candidate will be passionate about working with cutting-edge technologies to solve complex data engineering challenges. Qualifications
Bachelors 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 Qualifications
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. Additional Details
Seniority level: Entry level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting
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