Data Engineer I, Fire TV
Core
Build and operate data pipelines, models, and quality mechanisms supporting Fire TV engagement, lifecycle analytics, Ads monetization, Appstore performance, and AI-enabled analytics.
Role type
Junior IC data engineer
Builds
Data pipelines, datasets, and infrastructure for analytics, experimentation, forecasting, and business decision-making
Domain
Consumer electronics / Streaming media / Advertising
Required skills
Data modeling, ETL/ELT pipeline development, SQL, Scripting (Python/KornShell), Database/Data warehouse/Data lake knowledge
Preferred skills
Big data technologies (Hadoop, Hive, Spark, EMR), Data schema design (normalization, dimensional modeling), AWS technologies (Redshift, S3, Glue, Kinesis, Lambda), Privacy/compliance/governance, AI-assisted development
Technologies
AWS, SQL, Python, Spark, Redshift, S3, Glue, Kinesis, Lambda, Hive, EMR
Responsibilities
Design, develop, test, and deploy data pipelines and datasets; Build and maintain ETL/ELT workflows; Support data infrastructure operations including monitoring and alerting; Investigate and resolve data quality issues; Partner with stakeholders to implement reliable data solutions; Contribute to conversational and self-service analytics data products; Participate in on-call and product support for business-critical pipelines; Build and curate datasets for AI-assisted analytics tools; Use AI-assisted development tools to accelerate pipeline building and debugging
Seniority
Junior, early career IC