TechDigital Corporation

Data Lab SME (BB-C30EA)

Found in: Neuvoo Bulk CA

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Must Have Skills Candidate Self Rating (Rating out of 5) Total Yrs. of experience Last Used (Year) Client Project (Where candidate worked on this technology)
Azure Data tools        
ETL        
KQL        
SQL        

 

Job description:

Responsibilities:



·         Analyze source system data to assess data quality. Work with technical and business representatives to determine strategies for handling data anomalies that are identified.



·         Design ETL processes and develop source-to-target data mappings, integration workflows, and load processes. Involved in gathering, understanding and validating the project specifications and participate in ETL architecture design reviews



·         Experience with Data Lake infrastructures, Azure Blob, Azure Data Factory, Azure DataBricks, Azure Event Hubs and Event Grids



·         Identify problems, develop ideas and propose solutions within differing situations requiring analytical, evaluative or constructive thinking in daily work



·         Document designs and architect data maps, develop data quality components and establish and/or conduct unit tests



·         Perform reviews and quality checks after data has been loaded



·         Connecting to data sources, importing data and transforming data for Business Intelligence



·         Excellent in analytical thinking for translating data into informative visuals and reports



Qualifications:



·         5+ years of experience with data warehouse technical architectures, ETL/ELT, and BI reporting/analytic tools



·         Data Engineering/Data Modeling experience in a Dev/QA/Prod capacity



·         Kusto Query Language (KQL) and/ or Expert SQL and data modeling skills



·         Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management



·         Advanced Analytics including Azure DataBricks, visualization tools as Power BI



·         Experience in troubleshooting and resolving database integrity and performance issues



·         Follows data standards, resolves data issues, completes unit testing and system documentation for Extract Transfer Load (ETL) processes



·         Knowledge of Hadoop ecosystem an asset (Hive, Spark, HDFS, NiFi)



·         Knowledge of Python/Scala is an asset



·         Strong communication skills, including the ability to speak clearly to technical and nontechnical people



·         Self-driven, highly motivated and able to learn quickly


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