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Tier-1 brand, mid-level generalist data engineer role in Bangalore with broad skillset attracts many qualified applicants.
Requires deep data engineering and production experience; transferable across industries but benefits from advertising domain familiarity.
Mandatory 5+ years plus specific data engineering frameworks, SQL, and production reliability requirements increase shortlisting rigidity.
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Design, build, and operate scalable, secure data pipelines and services supporting ad inventory forecasting and analytics across global markets.
Drive data quality, lineage, monitoring, and observability to enhance forecast accuracy and delivery risk detection.
Collaborate with product managers, analysts, data scientists, and engineers to translate business needs into robust data solutions and integrate AI/ML-enabled capabilities under established guidelines.
Bachelor’s degree in Computer Science or related technical field, or equivalent professional experience.
5+ years of relevant professional experience in data engineering or related roles.
Proficiency in at least one modern programming language (e.g., Java, Scala, Python), strong SQL and data modeling skills.
Hands-on experience with data processing frameworks (batch and streaming), distributed processing, data lakes or warehouses, with ownership of service reliability and performance; familiarity with AI/ML systems integration.
Experienced in designing and evolving end-to-end data architectures and APIs for large-scale, multi-tenant environments.
Proven ability operating large-scale data systems in production, including monitoring, incident response, and cost optimization.
Demonstrates strategic influence on technical direction, data standards, and mentoring within data engineering teams, especially integrating AI/ML-enabled solutions for analytical improvements.