About
Responsibilities
Build highly scalable, available, fault‑tolerant distributed data processing systems (batch and streaming) handling tens of terabytes daily.
Build quality data solutions and refine existing datasets to simplified data models encouraging self‑service.
Build data pipelines that optimise data quality and are resilient to poor quality data sources.
Own data mapping, business logic, transformations and data quality.
Conduct low‑level systems debugging, performance measurement & optimisation on large production clusters.
Participate in architecture discussions, influence product roadmap, and take ownership of new projects.
Maintain and support existing platforms and evolve to newer technology stacks and architectures.
Qualifications
8+ years professional experience as a Data Engineer.
Extensive SQL skills.
Proficiency in Python (required) and at least one scripting language.
Experience with big data technologies such as HDFS, YARN, Map‑Reduce, Hive, Kafka, Spark, Airflow, Presto.
Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models.
Experience with AWS, GCP, Looker (plus).
BS in Computer Science; MS in Computer Science preferred.
AI literacy / AI growth mindset.
Hybrid Work Approach Work is based in Bangalore. Hybrid schedule: four days in office (Monday–Thursday) with Friday remote.
Benefits Roku offers a comprehensive benefits package, including healthcare (medical, dental, vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Mental health and financial wellness support and resources are available worldwide. Local benefits vary by location.
Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
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Languages
- English
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