• 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.
• Application of applymap, apply, map functions.
• 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.
📌 Senior Pyspark Developer - Capital Markets (7+ years) (India)
🏢 Luxoft India
📍 India
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