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Tier-1 brand, metro location, generalist analytics engineering role with broad skill requirements.
Core analytics engineering skills are highly transferable across industries despite media domain preference.
Explicit 5–8 years plus many mandatory technologies, cloud, BI and programming requirements increases filtering.
Design, build, and own scalable data platforms, pipelines, semantic layers, and analytics solutions enabling data-driven decision making.
Own full lifecycle of data products from requirements gathering, architecture, implementation, deployment to visualization and reporting.
Collaborate cross-functionally to ensure accurate business logic modeling in production datasets and support self-service analytics and actionable insights.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or Statistics.
5–8 years experience in Analytics Engineering, Data Engineering, Business Intelligence, or related domains.
Strong proficiency in SQL, Python and/or Go, and experience with enterprise databases (Oracle, PostgreSQL, Mongo) and cloud platforms (Snowflake, AWS S3, GCP).
Experience designing scalable data models, semantic layers, and data products; strong understanding of dimensional modeling and real-time streaming/data warehouse architectures.
Experienced in building and operating enterprise-grade data platforms within Agile, distributed cross-functional teams.
Strong technical communication and stakeholder management skills, able to translate business requirements into scalable analytics solutions.
Prior domain experience in Media, Entertainment, Streaming, or Media Technology preferred but not mandatory.