Back
Tier-1 brand, Bangalore metro, popular Data Engineer title, and broad Azure/Databricks skillset amplify competition.
Core data engineering skills transferable, but industrial IoT/timeseries emphasis increases domain specificity.
Explicit 8+ years requirement plus Azure, Databricks, and Python mandates makes screening stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement scalable backend features and data-processing pipelines for industrial IoT and timeseries analytics.
Develop and maintain production-grade Python code and REST APIs using FastAPI or Flask within a global agile team.
Deploy, operationalize, and troubleshoot solutions on Microsoft Azure including Azure Functions and Azure Databricks.
Bachelor’s or Master’s degree in Computer Science, Electronics and Communication, Electrical Engineering, Data Engineering, or equivalent.
8+ years of software development experience, with at least 4 years of strong Python production-grade development.
Proficiency in building scalable backend services, REST APIs, ETL pipelines, and experience with Pandas, NumPy, Scikit-learn for timeseries data.
Experience with Microsoft Azure application development (Azure Functions, Azure Databricks), unit/integration testing, CI/CD, and DevOps practices.
Experienced in industrial IoT or operational analytics domains with focus on timeseries data processing.
Strong software design skills focusing on OOP, design patterns, clean code, and software architecture.
Comfortable working in a global agile development team delivering high-quality scalable digital solutions.