Mandatory Skills: Azure Data Factory, Azure Data Lake Storage, REST API, Synapse Analytics, Data Bricks and Informatica Intelligent Cloud Services, ITIL Operating Model, Python, Data Frames and Shell scripts
Design and Development of Data Engineering Pipelines - ELT/ETL Framework on Azure Data Platform Solution architecture Using Azure data bricks and Informatica Platforms- Azure Data Factory, Azure Data Lake Storage(ADLS),Databricks ETL, Informatica Intelligent Cloud Services and REST API services development Knowledge of Synapse, Databricks, Stored procedure, PL/SQL Knowledge of Kimballs Methodology, ITIL Operating model, and Data Quality Concepts. Knowledge Python, Data Frames, and Shell scripts
Numbers & Facts
Location
Cary, NC
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Application Programming Interface (API)unmatched
Cloud Computingunmatched
Data Lakeunmatched
Data Managementunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Storageunmatched
Database Extract Transform and Load (ETL)unmatched
ITIL (IT Infrastructure Library)unmatched
Informaticaunmatched
Microsoft Windows Azureunmatched
Oracle PL-SQLunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
Software Engineeringunmatched
Stored Proceduresunmatched
Unix Shell Programmingunmatched
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