Staff Software Engineer - Snowflake/AI Automation Engineer
New
IndiaFull-TimeStaff
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLApache AirflowETLMachine LearningSnowflakeData modelingdbt
Requirements
- Strong hands-on experience with Snowflake including data modeling, performance tuning, security, and data sharing.
- Experience with Snowflake advanced capabilities such as Cortex Analyst and Snowflake Intelligence for AI-enabled analytics.
- Solid ERP systems experience with platforms such as SAP, NetSuite, or Oracle ecosystems.
- Background in Revenue, Finance, or Accounting domains, ideally with exposure to RevPro or similar revenue accounting platforms.
- Strong proficiency in SQL and at least one programming language, preferably Python.
- Experience building ELT/ETL pipelines using modern data tools and frameworks.
- Familiarity with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud.
- Experience with modern data engineering tools such as dbt and Apache Airflow, including CI/CD for data platforms.
- Strong understanding of data governance, audit readiness, and enterprise controls.
- Ability to work effectively with both technical and non-technical stakeholders in cross-functional teams.
- Exposure to AI/ML analytics and predictive modeling is highly desirable.
Responsibilities
- Design, build, and optimize Snowflake-based data models, pipelines, and architectures supporting revenue AI and automation use cases.
- Develop scalable automation solutions for revenue recognition, forecasting, analytics, and enterprise reporting.
- Integrate Snowflake with ERP systems such as Salesforce and Oracle Cloud ERP to enable end-to-end Quote-to-Revenue (Q2R) processes.
- Prepare governed, high-quality datasets to support AI/ML analytics and predictive modeling initiatives.
- Collaborate with Finance, Revenue Accounting, IT, and Data Science teams to translate business requirements into scalable technical solutions.
- Ensure data accuracy, reconciliation, governance, and compliance with SOX and audit requirements.
- Optimize performance, cost efficiency, security, and reliability of Snowflake-based solutions.
- Contribute to production support, system enhancements, documentation, and operational runbooks.
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