Develop, enhancement and maintain SSIS ETL processes to extract and transform data between various source systems, Azure blob storage and MS-SQL database hosted in Azure cloud.
Utilize working knowledge of MS-SQL database design and stored procedures to develop logic for data transformation and analysis.
Validate numbers shown in dashboard, database and source systems to discover differences, find the root cause and resolve the discrepancies.
Requirements:
At least 1 year of experience in SQL database programming, SSIS development or Qliksense report development.
Proficiency in Microsoft Office (Word, Excel, PowerPoint) and knowledge in writing/using excel formulas.
Ability to quickly adapt and learn new technologies and systems
Ideal Candidate profile:
Aspiring data engineer who likes to analyze data and numbers to find insights.
Strong interests in MS/Azure SQL database programming, design and performance tuning. Follow technology innovations in the cloud closely.
Have a good understanding of data warehousing, ETL, business Intelligence, analytics products and data visualization.
Meticulous, disciplined and process-driven. Finds satisfaction in extracting and providing accurate data for analysis on a day-to-day basis.
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