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Tier-1 brand, metro Bangalore location, and popular data engineering skillset create moderate applicant competition.
Deep big-data and Spark expertise required, so skills are moderately transferable across industries.
Mandatory 8+ years, deep Spark/big-data expertise and degree make filtering highly selective.
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Build and maintain highly scalable, fault-tolerant distributed batch and streaming data processing systems handling tens of terabytes daily and petabyte-scale data warehouses.
Design and own data pipelines, models, business logic, transformations, and data quality to support data productization and self-service analytics for Roku's content ecosystem.
Participate in architecture and product roadmap discussions, support existing data platforms, and evolve them towards newer technologies.
8+ years professional experience as a Data Engineer.
Strong expertise in Apache Spark including performance tuning and building scalable batch and streaming pipelines.
Proficiency in SQL and at least one scripting language (Python preferred).
Based in Bangalore, India with hybrid work requirement: 4 days in office weekly.
Extensive experience working with big data technologies: Hadoop (HDFS, YARN, MapReduce), Hive, Kafka, Airflow, and Presto/Trino.
Strong data modeling skills across conceptual, logical, and physical layers for scalable data architectures.
Experience collaborating across teams (developers, analysts, operations) to deliver data solutions supporting business growth.