G
Posted 9 hours ago
Senior Principal Data Engineer
Gen
Requirements
6-10 years data engineering experience, Expert SQL or Python, Snowflake expertise, Kimball dimensional modeling, AWS infrastructure, DBT or SQL Mesh
Skills
PythonSQLSnowflakeAWSDBTKafka
About the role
About the Company
Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. We deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.
Responsibilities
- Lead cross-team projects and set technical visions for your team
- Architect systems within your team's domain and solve complex business problems
- Own multiple areas of the codebase or services
- Evaluate and implement new technologies to benefit the domain
- Mentor IC7 and IC8 engineers on technical knowledge and execution quality
- Maintain high technical output including regular pull requests and comprehensive code reviews
- Author technical specifications and RFCs to demonstrate leadership
- Collaborate with stakeholders across the organization to drive progress
Requirements
- Bachelor's degree in Computer Science, Data Engineering, or a related field
- 6-10 years of hands-on data engineering experience in large-scale, high-volume environments
- Expert proficiency in SQL or Python, with strong understanding of the other
- Extensive experience with Snowflake architecture, optimization, and performance tuning
- Experience building Kimball dimensional data warehouses and star schema architectures
- Strong AWS cloud infrastructure experience focused on data operations
- Production experience with DBT or SQL Mesh
- Experience with CI/CD pipelines and GitFlow or trunk-based development
- Knowledge of data compliance requirements like GDPR and PCI-DSS
Preferred Qualifications
- Experience with Apache Kafka and event-driven architectures
- Familiarity with Apache Iceberg and Data Lakehouse architectures
- Experience with data warehouse cost optimization
- Background in subscription business models (LTV, churn prediction, cohort analysis)
- Experience in high-volume industries such as cybersecurity, ad-tech, or fintech
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Gen · Pune
