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Mid-level data delivery role in Bangalore with a common title and experience makes applicant competition high.
Data delivery and DataOps skills transfer across industries, though FinOps and domain context increase sensitivity.
Explicit 5+ years plus mandatory DataOps, cloud, FinOps and tooling skills increase screening strictness.
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Lead execution of data-driven initiatives within AI & DataOps, focusing on delivering scalable, enterprise-grade data products.
Manage project plans and timelines for data platform migrations, refactoring, and modernization to ensure successful delivery.
Drive FinOps management by monitoring and optimizing cloud spend, embedding cost visibility in dashboards and reporting.
Minimum 5 years of experience in data management and project delivery.
Proven experience with data delivery, AI & DataOps, and cloud-based data platforms.
Hands-on expertise with cloud ecosystems such as AWS, GCP, or Databricks.
Mandatory skills include proficiency in SQL, Python, ETL processes, and familiarity with AI and machine learning concepts.
Experienced in applying DataOps principles and AI adoption strategies in complex data environments.
Proven ability to implement FinOps frameworks and optimize cloud costs effectively.
Strong project management skills managing data platform modernization and automation processes within cross-functional technical teams.