Hyderabad, Telangana, India
Social Good & Community Development
Full-Time
PwC India
Overview
Line of Service
Advisory
Industry/Sector
FS X-Sector
Specialism
Data, Analytics & AI
Management Level
Associate
Job Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Responsibilities
Job Description & Summary – AWS
Job Description (Aws Data Engineer) :-
3+
Education Qualification
BE/BTech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration
Degrees/Field Of Study Preferred
Certifications (if blank, certifications not specified)
Required Skills
Business Analyzer
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 7 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
Advisory
Industry/Sector
FS X-Sector
Specialism
Data, Analytics & AI
Management Level
Associate
Job Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
- Why PWC
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Responsibilities
Job Description & Summary – AWS
Job Description (Aws Data Engineer) :-
- Minimum 3 years of professional experience with working knowledge in a Data and Analytics role with a Global organization
- AWS developers are expected to understand the core AWS services and apply best practices regarding security and scalability.
- In depth knowledge of Key services like EC2, S3, Athena, Glue, dynamodb, redshift etc
- Experience provisioning and spinning up AWS clusters
- Develop business case and cloud adoption roadmap
- Ability to drive project from architecture standpoint
- Good hands-on experience in Pyspark
- Should have good knowledge of Python and spark concepts
- Develop and maintain data pipelines and ETL processes using Python and Pyspark.
- Design, implement, and optimize Spark jobs for performance and scalability.
- Perform data analysis and troubleshooting to ensure data quality and reliability.
- Experience with building CI/CD pipelines in Data environments would be good
- Should have Understanding of data modelling, Data warehousing concepts
- Understand the current application infrastructure and suggest changes to it.
- Define and document best practices and strategies regarding application deployment and infrastructure
- AWS
- AWS
3+
Education Qualification
BE/BTech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration
Degrees/Field Of Study Preferred
Certifications (if blank, certifications not specified)
Required Skills
Business Analyzer
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 7 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
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