Data Engineer
3 days ago
About the RoleWe are looking for individuals with 5+ years of relevant data engineering hands-on work experience
in data ingestion, processing, and exploratory analysis to build solutions that deliver value through data as an asset. The ideal candidate will be able to efficiently and reliably move data across systems and stay on top of the latest architectural trends on Azure cloud. They should understand parallel and distributed processing, storage, concurrency, and fault-tolerant systems. We are seeking individuals who thrive on new technologies, can adapt and learn easily to meet the needs of next-generation engineering challenges.
Experience: 4 to 10 YrsLocation: Mumbai/Hyderabad/BengaluruNotice Period: Immediate to 30 Days
Technical Skills (Must-Have)Applied experience with distributed data processing frameworks - Pyspark, Databricks with Python and SQLMust have worked on at least 2 end-to-end data analytics projects with
Databricks Configuration, Unity Catalog, Delta Sharing, and medallion architectureApplied experience with
Azure Data services ADLS, Delta Lake, Delta Live Tables, Azure Storage, RBACApplied experience with Unit Testing and System Integration Testing using Python frameworkApplied experience with DevOps to design and deploy CI/CD pipelines using JenkinsAzure Data Engineering (DP203) or Databricks certificationPrior working experience with a high-performance agile team - Scrum, JIRA, JFrog, and Confluence
Nice to haveIOT data-driven product/platform development environment background is a plusMedical and Healthcare domain expertise is a plus.
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