Remote Data Engineer — Snowflake, Python & ELT Expert

Cloud Brite Systems India Private Limited; United States; Hybrid; USD 110,000 - 170,000; Full time

Job summary

Cloud Brite Systems India Private Limited is hiring a Data Engineer to design and operate multi-source ingestion pipelines into Snowflake, and to develop Snowpark transformations in Python and SQL. This is the highest-volume build track across Build and Scale phases.

You'll own data integration from on-premise to cloud, implement data quality checks, and collaborate with data scientists and visualization engineers to produce clean, governed data for analytics.

Qualifications

• Bachelor's degree or equivalent hands-on experience in CS/engineering.
• 5+ years of data engineering experience with Python and SQL.
• Production experience with Snowflake; SnowPro Core certification preferred.
• Experience with dbt and ELT/ETL pipeline design.

Responsibilities

• Build and operate multi-source ingestion pipelines to consolidate data into Snowflake.
• Develop Snowpark-based Python and SQL transformations following design standards.
• Onboard new data sources identified in the data inventory across Build/Scale.
• Implement data quality checks and resolve pipeline issues.
• Support data scientists and visualization engineers with clean, governed data.
• Participate in two-week sprints and contribute to risk management.
• Experience with AWS and S3 stages and secure data movement.
• Understand MuleSoft data consumption and integration architectures.

Skills

Python

SQL

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

dbt

Snowpark

Job description

Cloud Brite Systems India Private Limited is hiring a Data Engineer to design and operate multi-source ingestion pipelines into Snowflake, and to develop Snowpark transformations in Python and SQL. This is the highest-volume build track across Build and Scale phases.

You'll own data integration from on-premise to cloud, implement data quality checks, and collaborate with data scientists and visualization engineers to produce clean, governed data for analytics.