3 - 8 years
7 - 11 Lacs
Bengaluru
Posted:1 day ago|
Platform:
Work from Office
Full Time
Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC Handson experience in Pyspark, preferably more than 3 years familiarity with RDD level programming as well as coding using Spark DataFrames API. Ability to develop and maintain data pipelines and ETLs using Python and Pyspark. Should have good knowledge of Python and Spark concepts like Driver vs Worker, actions and transforms, data partitioning and bucketing etc. Experience in data management activities and data lifecycle management for example activities related to integrating source databases to a data lake via full batch or incremental data updates. Ability to design, implement, and optimize Spark jobs for performance and scalability. Perform data analysis and troubleshooting to ensure data quality and reliability. Experience in cloud technologies esp. object storage for data lakes is a must. Experience in Spark Streaming, GraphX is a plus. Mandatory skill sets Pyspark Preferred skill sets Pyspark Years of experience required 5+ Education qualification BE/BTech/MBA/MCA Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred Required Skills PySpark Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 12 more} No
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