Sr. Data Engineer

About the team The mission of Roku's Data Engineering team is to develop a world‑class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As a Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capture different business metrics across different Roku Devices. About the role This role is based in Bangalore, India, and requires hybrid working, with 4 days in the office. What you'll be doing Build highly scalable, available, fault‑tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day, and a petabyte‑sized data warehouse Build quality data solutions and refine existing diverse datasets to simplified data models, encouraging self‑service Build data pipelines that optimize on data quality and are resilient to poor quality data sources Own the data mapping, business logic, transformations, and data quality Low‑level systems debugging, performance measurement & optimization on large production clusters Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects Maintain and support existing platforms and evolve to newer technology stacks and architectures We're excited if you have Extensive SQL Skills Proficiency in at least one scripting language, Python, is required Experience in big data technologies like HDFS, YARN, Map‑Reduce, Hive, Kafka, Spark, Airflow, Presto, etc. Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures . Experience with AWS, GCP, and Looker is a plus Collaborate with cross‑functional teams such as developers, analysts, and operations to execute deliverables 8+ years of professional experience as a data Engineer BS in Computer Science; MS in Computer Science preferred AI Literacy / AI growth mindset Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days’ a week attendance. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. 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 View email address on click.appcast.io. #J-18808-Ljbffr Roku