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Mid-level Data Engineer in Bengaluru with generalist AWS and analytics remit increases candidate competition.
Core data engineering skills are transferable, but HIPAA/NRC regulatory experience increases industry-specific fit sensitivity.
Explicit 5+ years requirement plus mandatory AWS, deep SQL, Python, and regulatory compliance increases filtering strictness.
Lead design and implementation of scalable ETL/ELT data pipelines across multiple radiation safety products.
Own data storage architecture on AWS including structured, unstructured, and cached data with trade-off decisions on cost, latency, and consistency.
Drive data infrastructure and quality standards for AI/ML features and ensure compliance under HIPAA, NRC, and state regulations.
Minimum 5+ years experience in data engineering delivering production-grade pipelines and data architectures.
Strong expertise in SQL and advanced Python programming for maintainable pipeline development.
Extensive hands-on experience with AWS cloud data services and event-driven architectures.
Deep understanding of data security and compliance practices including encryption, IAM, and audit logging.
Experienced in architecting end-to-end data systems with ownership of data modeling, storage, and pipeline operation within regulated environments.
Skilled at balancing OLTP and OLAP workloads and optimizing query performance to support real-time dashboards and analytics.
Proficient in collaborating with cross-functional teams including backend engineers, product managers, and data scientists on standards and technical decisions.