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Mid-level, popular Data Engineer in Bangalore with broad skill requirements yields high competition.
Core data engineering, cloud, and web skills are broadly transferable across industries, so background fit sensitivity is low.
Explicit 3–5 year requirement plus extensive mandatory tech stack and Databricks increases shortlisting strictness.
Design, develop, and maintain scalable cloud-based data infrastructure and end-to-end data pipelines using SQL and PySpark.
Build and operate secure REST APIs and microservices exposing curated data products, and develop responsive web interfaces for data consumption.
Collaborate globally across cross-functional teams to deliver strategic data solutions and ensure data quality, performance, and documentation.
Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or related field (Master's preferred).
3-5 years of experience in data engineering and full-stack development focused on cloud environments.
Strong skills in Python, SQL, PySpark, Databricks, REST API/microservices, and React or similar JavaScript/TypeScript framework.
Location requirement: On-site in Bengaluru, Karnataka.
Experienced in delivering production applications end-to-end including data ingestion, API services, and user interfaces.
Able to operate across data pipelines, backend services, and front-end application layers to troubleshoot and optimize data products.
Skilled in modern cloud data engineering practices, including workflow automation, testing, CI/CD integration, and containerized deployments.