Senior Data Engineer with Exp in Snowflake & Amazon QuickSight

• Flexibility & Well-being – Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments.
• Global Community – Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success.
• Your Voice Matters – We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact.
• Growth & Development – Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth.

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