4 -5 years of experience in data intensive python development .
. Demonstrable experience as a core Python, Pandas and Pyspark developer
. Experience developing Classes, OOPS, exception handling, parallel processing .
. Strong knowledge of DB connectivity, data loading , transformation, calculation.
. Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations.
. Lambda Functions, Decorators.
. Vector operations on Pandas dataframes /series.
. Concurrency and error handling data pipeline batch of size [1-10 gb].
. Ability to understand business requirements and translate them into technical requirements.
. Ability to design architecture of data pipeline for concurrent data processing.
. Familiar with creating/designing RESTful services and APIs.
. Familiar with application unit tests.
. Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services.
. Debugging application.
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