Big Data Engineer II
Core
Architect and extend the processing framework for mission-critical Sales Revenue data products (Unified Estimated Revenue, GAAP Sales Revenue, Quota Sales Retirement, Planning Revenue) powering strategic decision-making across AWS Finance, Accounting, and Sales Operations.
Role type
Senior Big Data Engineer (Revenue Data Platform)
Builds
Scalable data pipelines, AI-driven automation workflows, and dimensional data models for revenue insights.
Domain
Cloud computing / Financial services / Big Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Large-scale data engineering, ETL/ELT processes, SQL, Object-oriented programming (Python/JavaScript/C#), Data modeling, Team mentorship, Infrastructure architecture
Preferred skills
AWS technologies (Redshift, S3, Glue, EMR, Kinesis, Lambda), Non-relational databases, Big data technologies (Hadoop, Hive, Spark)
Technologies
EMR, Spark, Redshift, Glue, S3, Kinesis, Lambda, Hadoop, Hive
Responsibilities
Build scalable data pipelines handling exponential data growth; Lead AI-driven automation initiatives for revenue processing; Architect solutions to enhance data quality and reduce latency; Create and maintain dimensional data models for self-service analytics; Mentor a team of Data Engineers; Architect and optimize Revenue data infrastructure for security and scalability; Collaborate with stakeholders to translate business requirements into technical solutions.
Seniority
Senior, hands-on IC with mentorship responsibilities