Description:
Should have experience of resolving performance issues, query optimization, database tuning, interpreting query execution plans, resolving deadlocks etc.
You have previously worked on building data pipelines ingesting and transforming large number of events per minute and terabytes of data per day.
You have worked with any sql interface before and have experimented or heard about nosql implementation and understand when to use one over the other. Preferably, you have worked with cloud based big data processing platform such as Google Cloud DataProc.
You are passionate about producing clean, maintainable and testable code part of real-time data pipeline.
You can connect different services and processes together even if you have not worked with them before and follow the flow of data through various pipelines to debug data issues.
You understand issues with ingesting data from applications in multiple data centres across geographies, on-premise and cloud and will find a way to solve them.
Working knowledge of linux environment is a plus
Previous experience of working with Google tools/gadgets is a big plus
Strong leadership and management skills .
Data Warehousing/Data Modelling - Very strong SQL, data modelling and transformation
Skills - with the ability to manipulate large data-sets, automate processes and debug scripts.
Creation and monitoring of reports.
Extracting, manipulating and analyzing data.
Partner with teams to create an overall delivery strategy
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