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Chennai · On-site · 10-13 Yrs · Oct 15
2 views
4 open roles1 posted in 7d4 in 30d
Hiring: Engineering
Job description
Overview
Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives.
Responsibilities
- Expertise with Apache Kafka, real-time data processing, and event-driven architectures
- Experience with Apache Iceberg, data lakehouse architectures, and modern table formats
- Demonstrated expertise in cloud cost optimization and data warehouse performance tuning
- Design and architect enterprise-scale data solutions that directly impact Gen's data strategy execution. This might be something like designing and implementing an incremental identity graph, integrating a marketing attribution vendor or automating LTV calculation.
- Lead evaluation and implementation of cutting-edge technologies including modern data stack and advanced analytics
- Collaborate with executives and senior leadership to align data architecture with business strategy
- Mentor IC9 and IC10 engineers, focusing on architectural decision-making and advanced technical skills
- Drive complex, multi-quarter technical initiatives requiring coordination across multiple engineering teams
Qualifications
- Bachelor's degree in computer science, Data Engineering, or related technical field (master's degree preferred)
- Minimum 10-15 years of hands-on data engineering experience in large-scale, high-volume environments
- Expert-level proficiency in SQL optimization for multi-petabyte datasets and advanced Python programming
- Extensive experience with Snowflake architecture, optimization, and cost management at enterprise scale
- Demonstrated expertise building Kimball dimensional data warehouses and star schema architectures
- Advanced experience with AWS cloud infrastructure and either DBT or SQLMesh for data transformations
- Hands-on experience with CI/CD pipelines, GitFlow, and data governance frameworks ensuring GDPR/PCI-DSS compliance
- Proven ability to architect and own multiple entire areas of the codebase or services independently
- Experience with MLOps frameworks, LLM integration, vector databases, and AI-driven analytics. We know its new, but some familiarity is a plus.
- Proven track record with subscription business models including cohort analysis, LTV calculations, and marketing attribution
- Direct industry experience in cybersecurity, ad-tech, or high-volume data processing environments (billions of events per day)
- This position requires a unique combination of deep technical expertise, strategic thinking, and leadership capabilities. The successful candidate will be a recognized expert in their domains within the broader data engineering community and capable of driving significant technical and business impact at enterprise scale.
- TA Call
- Technical Screening Focused on Python and SQL
- Technical Screening Focused on Snowflake and dbt
- Final Interview - Whiteboarding Design Round
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Job application FAQ
Last updated 16 October 2026
- How do I apply for Staff Data Engineer at Gen?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Gen may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Staff Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Staff Data Engineer remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Staff Data Engineer role at Gen?
- This is a lead Staff Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.