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Mid-level Data Engineer in Pune with general Azure/Databricks skills and a known global employer increases competition.
Core cloud data engineering skills (Azure, Databricks, SQL) transfer across industries, so background sensitivity is low.
Explicit 3+ years plus specific Azure, Databricks, SAP Data Services and CI/CD skills raise screening strictness.
Design, code, and test scalable data management solutions including data acquisition, integration, and transformation pipelines using Microsoft Azure PaaS tools and DevOps practices.
Architect data structures and pipelines to enable 'Data as a Service' ensuring scalability, reliability, and performance across teams.
Manage DevOps CI/CD pipelines and containerization to support deployments in cloud and edge environments using tools like Azure ADF, ADLS, Databricks, and SAP Data Services.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.
Proficiency in Microsoft Azure data management technologies (ADLS, ADF), SQL, Databricks, SAP Data Services, and DevOps tools (Jenkins, GitLab).
Work Experience Required: Minimum 3+ years experience working with business stakeholders to translate data into actionable insights.
Hybrid work model based in Pune, India office, expected onsite Mondays, Tuesdays, and Thursdays as per Rockwell Automation’s policy.
Strong expertise in Azure cloud PaaS data tools and hands-on development of data pipelines with operational focus on scalability and reliability.
Experience collaborating with technical leads, analysts, and product owners in a global enterprise environment to deliver data-driven solutions.
Demonstrated ability to manage multiple projects using Agile methodologies and adapt quickly to evolving technologies and business needs.