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Tier-1 brand, mid-level generalist data role in Bengaluru increases applicant competition.
Core data engineering skills are transferable, though ad-tech forecasting domain knowledge increases specificity.
Explicit 5+ years requirement plus mandatory data engineering skills and production ownership makes shortlisting strict.
Own and scale data foundations for global ad inventory forecasting, including pipelines, analytics layers, and impression data models.
Design, build, and operate scalable, secure data pipelines and services supporting analytics, experimentation, and products across multiple domains.
Drive data quality, lineage, observability, and collaborate with cross-functional teams to improve forecast accuracy and delivery risk detection.
Bachelor’s degree in Computer Science or related technical field, or equivalent experience.
5+ years of professional experience in data engineering or related roles.
Proficiency in at least one programming language such as Java, Scala, or Python, with strong skills in SQL and data modeling.
Hands-on experience with data processing frameworks (batch and streaming), large-scale data warehousing or lakes, and familiarity with integrating AI/ML-enabled solutions into data pipelines.
Experience designing and evolving large-scale, multi-tenant data architectures including API and schema design.
Track record of operating production-scale data systems with expertise in performance tuning, monitoring, and cost efficiency.
Demonstrated ability to lead technical direction for data solutions and mentor team members on best practices, with a focus on data-driven decision making and AI/ML integrations.