Data Engineer (Snowflake)

Cloud Brite Systems India Private Limited • Indianapolis, IN

8d • Hybrid

About The Position

Data Engineers build and operate the multi-source ingestion pipelines that consolidate client's on-premise and cloud data into the governed Snowflake environment, and develop Snowpark transformation workloads in Python and SQL. This is the highest-volume build track in the engagement, spanning the Foundation, Build, and Scale phases.

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent hands-on experience.
• 5+ years of data engineering experience, with strong proficiency in Python and SQL.
• Hands-on production experience with Snowflake; SnowPro Core certification preferred.
• Experience with dbt and modern ELT/ETL pipeline design and orchestration.
• Exposure to AWS data services a plus.
• Comfortable working in a two-week Agile sprint cadence with transparent, COR-facing reporting.

Responsibilities

• Build and maintain ingestion pipelines using Snowpipe, Streams and Tasks, and dbt without degrading data freshness or load windows.
• Develop Snowpark-based Python and SQL transformation workloads under the Database Architect's design standards.
• Onboard new source systems identified in the Data Source Inventory throughout the Build and Scale phases.
• Implement data quality checks and resolve pipeline issues identified during sprint reviews.
• Support the Data Scientist and Data Visualization Engineer with clean, governed, analysis-ready data sets.
• Participate in two-week sprint ceremonies and contribute to sprint reporting and the risk register.
• Experience with S3 External Stages and secure AWS-to-Snowflake data movement.
• Knowledge of AWS KMS encryption and high-volume Snowflake ingestion patterns.
• Understanding of MuleSoft data consumption and integration architectures.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level