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Quantiphi

Senior Data Engineer

Quantiphi

Senior Data Engineer specializing in Snowflake development and Azure data ecosystems at Quantiphi. Leading data integration and ETL pipeline management with a focus on financial data.

Posted 7/17/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and optimizing data structures within Snowflake on Azure, with strong capabilities in building and managing ETL/ELT pipelines using Azure Data Factory. Proficient in SQL for data manipulation and query optimization, alongside experience in CI/CD pipeline management and financial data integration.

Highest-signal resume keywords
Snowflake ExperienceAzure Data Factory (ADF)SQL SkillsCI/CD Pipeline ManagementPython Scripting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Structure DesignETL/ELT Pipeline DevelopmentSQL Query OptimizationDimensional ModelingAutomated Testing Frameworks
Soft Skills
Problem-SolvingMentoring
Tools & Technologies
AzureAzure DevOpsSnowflakeAzure Data Factory
Industry Keywords
Data WarehousingFinancial Data IntegrationSage Intacct GLSkyGenClearWater

Tech Stack

Tools & technologies
AzureETLPythonSQL

About the role

Key responsibilities & impact
  • Design, develop, and optimize data structures within Snowflake on Azure
  • Build and manage complex ETL/ELT data pipelines using Azure Data Factory (ADF)
  • Work proficiently within the Azure data ecosystem
  • Develop complex SQL logic and perform query optimization
  • Implement Snowflake security configurations
  • Manage CI/CD pipelines using Azure DevOps
  • Assist in developing automated testing frameworks for data pipeline validation
  • Apply dimensional modeling concepts (Star and Snowflake schemas) to build efficient data structures
  • Support the integration of financial data from platforms like Sage Intacct GL, SkyGen, and ClearWater
  • Lead, mentor, and conduct code reviews for Junior Data Engineers.

Requirements

What you’ll need
  • 4+ Years of Snowflake experience
  • Strong hands-on experience with Snowflake on Azure
  • Extensive experience with Azure Data Factory (ADF)
  • Expert-level SQL skills for data manipulation and query optimization
  • Intermediate Python skills for scripting and data processing
  • Solid understanding of core data warehousing concepts
  • Experience implementing CI/CD pipelines using Azure DevOps
  • Good to have knowledge of financial processes and familiarity with data structures from Sage Intacct GL, SkyGen, or ClearWater.
  • Strong problem-solving skills.

Benefits

Comp & perks
  • ample opportunities to learn
  • grow and interact with colleagues from varied experience and backgrounds around the globe
  • work with happy, enthusiastic over-achievers.