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Metro location, generalist data-engineer title, and broad cloud+Big Data requirements increase competition.
Core data engineering skills are broadly transferable across industries despite healthcare context.
Requires Azure and Big Data technical skills but lists no explicit years, making filtering moderately strict.
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Provide technical guidance and support for Cloud-based Data Lake and Data Mesh environments, including troubleshooting complex issues.
Develop, implement, and optimize scalable, secure cloud solutions and data pipelines for Big Data platforms using distributed cloud computing.
Perform tuning and impact analysis of Big Data/NoSQL environments, implement batch/near-real time architectures, and support analytics and machine learning capabilities.
Experience with Azure Cloud Technologies and Big Data application development and deployment.
Work Experience Required: Not explicitly mentioned in the JD.
Knowledge of distributed cloud computing, Data Lake, Data Mesh, and NoSQL environments.
Location: Madhapur, Telangana, India.
Capable of independently managing the full deployment lifecycle of Big Data solutions in Azure Cloud.
Experienced in designing and supporting scalable cloud-based data architectures that handle high volume and velocity data streams.
Able to communicate technical designs through documentation, presentations, and training to clients and internal teams.