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Tier-1 brand, popular mid-level data role with 3 years, metro location, and broad skill requirements drive high competition.
Core data engineering skills are highly transferable across industries despite some product-specific domain knowledge.
Explicit three-year minimum plus required pipeline, ETL, and specific technologies increases shortlisting strictness.
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Develop, optimize, and maintain data pipelines and ETL systems to support YouTube Business Organization analytics and operations.
Collaborate with analysts and stakeholders to productionize data integrations, model features, and machine learning models that drive business insights.
Ensure data platform reliability, integrity, governance, and produce technical documentation and data standards.
Bachelor's degree or equivalent practical experience.
At least 3 years of experience in coding and designing data pipelines, dimensional data modeling, and working with data infrastructure.
Experience with internal (e.g., Flume) and external (e.g., DataFlow, Spark) data stacks and performing exploratory data queries.
Work Experience Required: Minimum 3 years as explicitly stated; Notice period: Not explicitly mentioned in the JD.
Strong background in building scalable data architectures and ETL pipelines in a complex environment supporting large-scale data needs.
Experience collaborating with cross-functional teams, including analysts and executives, to gather requirements and implement data solutions.
Familiarity with advanced data platforms such as data warehouses, distributed data platforms, and experience with AI or Gen AI data applications is a plus.