Senior Data Engineer 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 skilled 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.

Collaborative 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, you'll enjoy your career with us !

Experience Level Senior Level

📌 Senior Data Engineer (Bengaluru)
🏢 Quantiphi Analytics Solution
📍 Bengaluru