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Mid-level, generalist Data Engineer in metro Hyderabad with common Azure/Databricks skills increases candidate density.
Role requires domain knowledge in regulated life-sciences plus specific MDM/CRM exposure, limiting cross-industry fit.
Mandatory 5+ years, Azure Databricks/PySpark, MDM and regulated experience creates strict screening filters.
Provide technical guidance and support for Cloud-based Data Lake and Data Mesh environments throughout solution lifecycle.
Develop, optimize, and implement scalable, secure cloud data pipelines using Azure and distributed computing for high volume/high velocity data.
Perform tuning and implement mixed batch/near-real time architectures to enhance data processing, analytics, and machine learning capabilities.
Minimum 5+ years experience in Database Development, Master Data Management (MDM), and Data Integration initiatives.
5+ years hands-on experience with Azure data integration technologies including Azure Data Factory, Azure Functions, Logic Apps, and Azure Databricks.
Strong SQL development skills and experience optimizing complex queries in Azure or other relational databases.
Work Experience Required: 5+ years as explicitly stated in job description.
Experienced in regulated, compliance-driven environments, preferably in Pharmaceutical or Life Sciences sectors.
Skilled in translating business requirements to scalable technical cloud solutions using Azure data engineering tools and platforms.
Comfortable working in structured, process-driven organizations with strong governance and collaborating across teams to promote data management standards.