While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Senior Data Engineer - Snowflake

Experience Level: 4+ Years

Work location: Mumbai, Bangalore Trivandrum

Notice Period: Looking for 0-15 days joiners

Role Responsibilities:

- Snowflake Development: Design, develop, and optimize data structures within Snowflake on Azure, utilizing Snowpipe, Snowpark, Stored Procedures, UDFs, and Streams Tasks.

- Pipeline Orchestration: Build and manage complex ETL/ELT data pipelines using Azure Data Factory (ADF), incorporating robust error handling, alerting, and CDC methods.

- Data Platform Management: Work proficiently within the Azure data ecosystem, utilizing Azure Data Lake Storage (ADLS) and integrating Azure Key Vault for secure credential management.

- Advanced Querying: Develop complex SQL logic and perform query optimization and data manipulation across data warehouse and staging environments.

- Data Security Governance: Implement Snowflake security configurations, including Role-Based Access Control (RBAC) and Data-Masking features.

- DevOps Integration: Manage CI/CD pipelines using Azure DevOps (Git and branching strategies) and integrate data streams via SFTP and REST APIs.

- Quality Assurance: Assist in developing automated testing frameworks for data pipeline validation and data quality monitoring.

- Data Modeling: Apply dimensional modeling concepts (Star and Snowflake schemas)



to build efficient data structures for financial reporting.

- Financial Alignment Collaboration: Support the integration of financial data from platforms like Sage Intacct GL, SkyGen, and ClearWater; collaborate with stakeholders to gather technical requirements.

- Team Mentorship: Lead, mentor, and conduct code reviews for Junior Data Engineers to ensure alignment with engineering standards.

Skills expectation:

- Snowflake Expertise (Advanced): Strong hands-on experience with Snowflake on Azure, including performance tuning, virtual warehouses, data loading, RBAC, Data-Masking, and Snowpark.

- Azure Data Services: Extensive experience with Azure Data Factory (ADF) for complex pipeline orchestration, alongside proficiency in ADLS and Azure Key Vault.

- SQL Programming: Expert-level SQL skills for data manipulation and query optimization, combined with intermediate Python skills for scripting and data processing.

- Data Warehousing Modeling: Solid understanding of core data warehousing concepts, ETL/ELT patterns, and dimensional modeling.

- DevOps Testing: Experience implementing CI/CD pipelines using Azure DevOps, version control (Git), and automated pipeline testing.

- Domain Awareness: Good to have knowledge of financial processes and familiarity with data structures from Sage Intacct GL, SkyGen, or ClearWater.

- Cooperative Execution: Strong problem-solving skills with the ability to translate business needs into technical pipelines and guide junior team members.

If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Engineer (Mumbai)
🏢 Quantiphi Analytics Solutions
📍 Mumbai