4 to 7 years' experience in Database Management, generating medium to high complexity SQL queries for QA validation, debugging data issues etc.
Working knowledge of Oracle, MSSQL, Redshift Databases, AWS S3 and any SQL IDE's e,g. SQL Developer/DB Visualizer/Toad etc.
3 to 4 years' experience in extraction, transformation and Loading techniques (ETL) for data in multiple formats from multiple sources
knowledge of Python programming language
Familiar with a cloud infrastructure like AWS or Azure and respective cloud storage systems like AWS S3 /Azure Blob.
Experience in development model: Agile/waterfall
Great attitude towards learning new things and taking on any kind of tasks
Analytical skills, Attention to details, Ability to work in a team as well as an individual
Requirement analysis and understanding of DWBI technical specification documents.
Analyze and understand the ETL workflows
Must be very strong in SQL and should be able to write complex SQL queries for validating business rules(ETL)
Should have experience in validation of data transformations and perform End-to-End data validation for ETL systems
Strong in backend validation of reports developed using tools like Tableau or POWER BI
Must possess very good experience in data analytical testing and good understanding of the data model
Must be able to work in a fast-paced team environment with minimal supervision.
Must have the ability to escalate issues in a timely manner.
Must possess strong technical, problem solving, project coordination, and analytical
Defect tracking till closure.
Ability to work on multiple releases and multiple projects at the same time and to work in different time zones (if required)
Job Category
Information Technology
Thermo Fisher Scientific
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