Company
Product Development
SeniorDataEngineerwithExpinSnowflake&AmazonQuickSight(5+YearsofExp)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer with Exp in Snowflake & Amazon QuickSight(5+ Years of Exp). Skills: Snowflake, Python, AWS, SQL, dbt, Amazon QuickSight. Design, develop, and optimize scalable ETL/ELT pipelines for enterprise data platforms. Build and maintain robust data solutions using Snowflake, Python, and AWS services”
Industry & Context.
root cause analysis; troubleshoot production data issues
What They're Looking For.
Must Have
SQL, Snowflake, Python, AWS services, Amazon QuickSight, JavaScript
Nice to Have
Rockset analytical engine, DynamoDB, NoSQL databases
What You'll Do.
and optimize scalable ETL/ELT pipelines for enterprise data platforms
Build and maintain robust data solutions using Snowflake
Develop advanced SQL queries using CTEs
and performance optimization techniques
Work with Snowflake warehouses
and data pipelines for efficient data processing
Create and maintain data transformation workflows using dbt (data build tool)
Develop reporting datasets and support dashboarding solutions using Amazon QuickSight
Perform data validation
data integrity checks
and root cause analysis to ensure data accuracy and reliability
Integrate and manage data across platforms including DynamoDB
Monitor pipeline performance and troubleshoot production data issues
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams including analytics, product, and clinical stakeholders to support reporting requirements
Full Job Description
## Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines for enterprise data platforms Build and maintain robust data solutions using Snowflake, Python, and AWS services Develop advanced SQL queries using CTEs, window functions, query tuning, and performance optimization techniques Work with Snowflake warehouses, tasks, streams, and data pipelines for efficient data processing Create and maintain data transformation workflows using dbt (data build tool) Develop reporting datasets and support dashboarding solutions using Amazon QuickSight Perform data validation, data integrity checks, and root cause analysis to ensure data accuracy and reliability Integrate and manage data across platforms including DynamoDB, S3, AWS Glue, Lambda, and Rockset Collaborate with cross-functional teams including analytics, product, and clinical stakeholders to support reporting requirements Monitor pipeline performance and troubleshoot production data issues ## Required Skills Strong experience in SQL including: CTEs Window Functions Query Optimization Performance Tuning Hands-on experience with Snowflake: Warehouses Streams Tasks Data Loading and Optimization Experience in Python for data processing and pipeline development Experience with AWS services: AWS Glue Lambda S3 Good knowledge of dbt (Data Build Tool) Experience in creating dashboards and reports using Amazon QuickSight Knowledge of Rockset analytical engine Experience with DynamoDB and NoSQL databases Basic to intermediate knowledge of JavaScript
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