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Tier-1 brand, mid-level generalist title, Bangalore metro location, and broad skillset increase competition.
Core analytics engineering skills are transferable, though media/streaming domain experience is only preferred.
Explicit 5–8 years plus mandatory Snowflake, SQL, Python/Go, BI and cloud/Kubernetes requirements.
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Design and build scalable data platforms, pipelines, semantic layers, and analytics solutions to enable data-driven decision-making.
Own full lifecycle of data products from requirements, architecture, implementation to visualization supporting self-service analytics and strategic outcomes.
Collaborate with business stakeholders and engineering teams to translate business needs into scalable technical solutions and maintain enterprise reporting dashboards.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or Statistics.
5–8 years of experience in Analytics Engineering, Data Engineering, BI, Data Platform Engineering or related domain.
Strong expertise in SQL, semantic modeling, data platforms (Snowflake, Oracle, PostgreSQL), and BI tools (Looker, Tableau, or equivalent).
Proficiency in Python and/or Go programming, cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform).
Experienced working within Agile development environments collaborating with distributed cross-functional teams.
Strong strategic and operational understanding of enterprise-grade data platforms, real-time streaming, data lakes, warehouses, and self-service analytics.
Preferably has domain experience in Media, Entertainment, Streaming or Media Technology with skills in generative AI/LLM applied to data platforms.