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Snowflake Data Engineer for Customer Success

5-10 Years
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  • Posted 11 days ago
  • Over 50 applicants
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Job Description

Job Title: Snowflake Data Engineer Customer Success

Location: Pune, India

Work Mode: Office/Site

Experience Level: Mid-level Professional

Employment Type: Full-time, Permanent

Function: Data Engineering / Internal Services

Role: Data Engineer

Industry: Industrial Software / SaaS / Data & Analytics

Role Overview

Join a data science initiative to build a robust Customer Health Scoring platform. As a Snowflake Data Engineer, you will design scalable data architecture that unifies fragmented data sources into a governed, analytics-ready foundation supporting AI-driven insights for Sales and Customer Success teams.

Key Responsibilities

  • Design and implement scalable data aggregation and storage architecture.
  • Act as the primary Snowflake subject matter expert.
  • Build and optimize ETL/ELT pipelines integrating multiple data sources.
  • Develop dimensional data models and analytics-ready schemas.
  • Establish data governance, quality, and security frameworks.
  • Define metadata standards, naming conventions, and documentation.
  • Build deployment pipelines across dev, staging, and production.
  • Implement automated data validation and quality controls.
  • Collaborate with Data Scientists and BI teams.
  • Onboard enterprise systems (e.g., Salesforce) into Snowflake.

Required Qualifications

  • Master's degree in Computer Science, Data Engineering, or related field.
  • 5+ years of experience in data engineering or data architecture.
  • Strong expertise in Snowflake (modeling, performance, security).
  • Solid knowledge of data warehouse and dimensional modeling.
  • Experience with large-scale ETL/ELT development.
  • Strong SQL and Python skills.
  • Experience with data governance and metadata frameworks.
  • Understanding of SaaS data models.
  • Strong communication and stakeholder management skills.

Preferred Qualifications

  • Snowflake certification.
  • Experience with dbt or similar tools.
  • Exposure to customer success or sales analytics data.
  • Knowledge of API-based or data virtualization integrations.
  • Familiarity with Salesforce and Certinia.
  • Experience working with global teams.

Job ID: 143065353