Accenture | Let there be change
We embrace change to create 360-degree value
- Key Responsibilities : a Design, create and maintain code / recipes for data science and data analytics pipeline b Conduct analysis on different data sources and arrive at the optimal data merging strategy c Analyse data quality and take actions to mitigate blocking quality issues d Scale up pipelines to support massive wrt volume and velocity data processing e Participation in agile rituals
- Technical Experience : a Experience in optimal data extraction, data transformation, data loading from a wide variety of data sources b Expertise in pySpark/ Spark c Hands on experience in assessing ensuring data quality d Exposure to cloud concepts and architecture e Exposure to Palantir data platform will be good
- Professional Attributes : a4 to 5 yrs of Overall experience with 2 to 3 yrs of Relevant experience
- Educational Qualification : Graduation or above
- Additional Information : Exposure to Palantir data platform will be good Exposure to Typescript will be good
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