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Tier-1 brand, metro Bengaluru, popular mid-senior data role with broad cloud and integration skillset.
Core data engineering, cloud and ETL skills are broadly transferable across industries.
Explicit 6–12 years requirement plus mandatory Spark, Python, cloud and integration expertise tightens candidate filters.
Build, test, deploy, and maintain scalable batch, micro-batch, and real-time data pipelines and integration frameworks using modern cloud technologies (AWS, Azure).
Lead data migration and modernization initiatives across cloud and hybrid environments with a focus on reliability, scalability, and operational efficiency.
Develop and maintain REST APIs, Kafka-based event-driven integrations, and implement data quality, observability, monitoring, and governance practices to support AI-enabled products.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
6–12 years of experience in Data Engineering, Data Migration, or Integration Engineering roles.
Strong programming skills in Python and SQL; working knowledge of Java or Scala.
Experience with Spark, PySpark, Databricks, AWS or Azure data platforms, ETL/ELT pipeline development, and REST API or streaming technologies.
Proven ability to deliver medium-complexity data engineering and migration projects from development through deployment with minimal rework.
Experience working in cloud-native environments focused on scalable, maintainable enterprise data solutions and AI-ready data foundations.
Familiarity with AI concepts including Generative AI, AI-assisted development, and emerging AI-driven engineering practices.