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KPMG India

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3.5

based on 5.2k Reviews

943 KPMG India Jobs

Technology Consulting-DP PySpark Senior

KPMG India

3.5

based on 5.2k Reviews

3-6 years

Bangalore / Bengaluru

1 vacancy

Technology Consulting-DP PySpark Senior

KPMG India

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics SQL Analytical Chemistry Big Data Data Visualization Data Processing

+ 4 more

Job Description

Overview:

Lighthouse, KPMG s Big Data, AI & Analytics practice has deep industry specialization and focuses on solution delivery for Data Engineering, Data Science, Data Visualization, and Process Analytics.

BE/B.Tech/ME/M.Tech/MCA /Any Graduation

EOE KI

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

3 - 6 years of experience in Pyspark
Good understanding of Big data ecosystems and frameworks such as Hadoop, Spark etc.
Experience in developing data processing task using PySpark.
Expertise in at least one popular cloud provider preferably AWS is a plus.
Good knowledge of any RDBMS/NoSQL database with strong SQL writing skills
Experience on Datawarehouse tools like Snowflake is a plus.
Experience with any one ETL tool is a plus
Strong analytical and problem-solving capability
Excellent verbal and written communications skills
Client facing skills: Solid experience working with clients directly, to be able to build trusted relationships with stakeholders
Ability to collaborate effectively across global teams
Strong understanding of data structures, algorithm, object-oriented design and design patterns
Experience in the use of multi-dimensional data, data curation processes, and the measurement/improvement of data quality.
General knowledge of business processes, data flows and quantitative models that generate or consume data
Independent thinker, willing to engage, challenge and learn new technologies