Data Engineer

5 - 10 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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Job Type

Full Time

Job Description

Role Overview: You will be responsible for supporting process delivery by ensuring the daily performance of the Production Specialists, resolving technical escalations, and developing technical capability within the Production Specialists. Key Responsibilities: - Azure Data Factory (primary) - Azure Data bricks Spark (PySpark, SQL) - Cloud certified in one of these categories: Azure Data Engineer, Azure Data Factory, Azure Data bricks Spark (PySpark or Scala), SQL, DATA Ingestion, Curation - Semantic Modelling/Optimization of data model to work within Rahona - Experience in Azure ingestion from on-prem sources such as mainframe, SQL server, Oracle - Experience in Sqoop/Hadoop - Proficiency in Microsoft Excel for metadata files with requirements for ingestion - Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in the cloud - Strong programming skills with at least one of Python, Scala, or Java - Strong SQL skills (T-SQL or PL-SQL) - Data files movement via mailbox - Source-code versioning/promotion tools like Git/Jenkins - Orchestration tools such as Autosys, Oozie Nice-to-have Skills: - Experience working with mainframe files - Experience in an Agile environment, JIRA/Confluence tool Qualifications Required: - 5 to 10 years of experience - Cloud certification in Azure Data Engineer - Proficiency in Azure Data Factory, Azure Data bricks Spark (PySpark or Scala), SQL, DATA Ingestion, Curation - Semantic Modelling/Optimization of data model to work within Rahona - Experience in Azure ingestion from on-prem sources like mainframe, SQL server, Oracle - Experience in Sqoop/Hadoop - Proficiency in Microsoft Excel for metadata files with requirements for ingestion - Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in the cloud - Strong programming skills with at least one of Python, Scala, or Java - Strong SQL skills (T-SQL or PL-SQL) - Data files movement via mailbox - Source-code versioning/promotion tools like Git/Jenkins - Orchestration tools such as Autosys, Oozie (Note: The additional details of the company were not present in the provided job description.),

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