Back
Generalist Data Engineer role in a metro city with broad Azure/Databricks requirements increases applicant competition.
Core data engineering skills transfer easily across industries despite the industrial automation context.
Mandatory Azure, Databricks, and DevOps skills create moderate technical filtering without explicit years requirement.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deliver scalable data management solutions using Microsoft Azure PaaS tools such as Azure ADF, ADLS, Databricks, and SAP Data Services.
Architect and maintain data structures and pipelines to provide 'Data as a Service' ensuring scalability, reliability, and performance across business units.
Manage DevOps pipelines including continuous integration/deployment and implement containerization for scalable cloud and edge infrastructure deployments.
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field.
Experience with full systems development lifecycle and Agile methodologies.
Proficiency in Azure data management technologies including Azure ADF, ADLS, Databricks, SAP Data Services, and SQL.
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune, India with hybrid work policy requiring at least 3 days/week in office.
Experience collaborating with cross-functional teams including technical leads, analysts, architects, and product owners in an enterprise or global environment.
Hands-on expertise in designing and deploying data pipelines and infrastructure in Microsoft Azure cloud and edge environments using DevOps practices.
Comfortable managing multiple projects and adapting to evolving technologies and business requirements within an Agile environment.