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Tier-1 employer, popular Data Engineer title, mid-level (5+) experience, metro Bengaluru increases applicant competition.
Core data engineering skills (SQL, Python, pipelines) transfer across industries despite ad-tech domain knowledge.
Explicit 5+ years requirement plus mandatory production data engineering skills and ownership increase filtering.
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Own and scale data foundations that support ad inventory forecasting, including building pipelines, analytics layers, and impression data models for forecast accuracy and delivery risk detection.
Design, develop, and maintain scalable and reliable batch and streaming data processing solutions with a focus on data quality, validation, and observability.
Collaborate with cross-functional teams to translate requirements into well-architected data solutions and safely integrate AI/ML-enabled capabilities into data pipelines.
Bachelor’s degree in Computer Science or related technical field, or equivalent experience.
Minimum 5 years of relevant professional experience in data engineering.
Proficiency in at least one modern programming language (Java, Scala, Python) plus strong SQL and data modeling skills.
Hands-on experience with data processing frameworks (distributed, stream processing) and large-scale data storage (warehouses or lakes), including ownership of reliability and performance of services.
Experienced in designing and evolving end-to-end data architectures including system design, API design, and schema modeling for high-scale, multi-tenant systems.
Proven ability to operate large-scale data systems in production, including tuning, capacity planning, monitoring, incident response, and cost optimization.
Demonstrated expertise in applying AI/ML concepts to data engineering workflows and integrating AI-powered analytics or features into data platforms under established policies.