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Role Overview: At PwC, in the data and analytics department, your main focus will be leveraging data to drive insights and assist in making well-informed business decisions. Utilizing advanced analytics techniques, you will play a crucial role in helping clients optimize their operations and achieve their strategic goals. Specifically, in business intelligence at PwC, you will harness data and analytics to provide strategic insights and support informed decision-making for clients. Your responsibility will include developing and implementing innovative solutions to enhance business performance and gain competitive advantage. Key Responsibilities: - Minimum 3 years of professional experience in a Data and Analytics role with a Global organization - Understanding and application of core AWS services with a focus on security and scalability - Proficiency in key services such as EC2, S3, Athena, Glue, DynamoDB, Redshift, etc. - Experience in provisioning and spinning up AWS clusters - Developing business cases and cloud adoption roadmaps - Ability to drive projects from an architectural standpoint - Hands-on experience in Pyspark with good knowledge of Python and Spark concepts - Design, implement, and optimize Spark jobs for performance and scalability - Developing and maintaining data pipelines and ETL processes using Python and Pyspark - Performing data analysis and troubleshooting to ensure data quality and reliability - Experience with building CI/CD pipelines in Data environments would be beneficial - Understanding of data modeling and Data warehousing concepts - Suggesting changes to the current application infrastructure based on analysis - Defining and documenting best practices and strategies regarding application deployment and infrastructure Qualification Required: - Education qualification: BE/BTech/MBA/MCA - Mandatory skill sets: AWS - Preferred skill sets: AWS - Certifications: Not specified Additional Company Details (if any): At PwC, you will be part of a vibrant community that values trust and creates distinctive outcomes for clients and communities. The purpose-led and values-driven work at PwC, powered by technology and innovation, allows you to have a tangible impact in the real world. PwC rewards contributions, supports wellbeing, and offers inclusive benefits, flexibility programs, and mentorship to help you thrive in both work and life. The company believes in providing equal employment opportunities without any discrimination and strives to create an environment where everyone can bring their true selves and contribute to personal and firm growth. Zero tolerance is maintained for discrimination and harassment based on various considerations. (Note: Certifications and desired languages were not specified in the provided job description.) Role Overview: At PwC, in the data and analytics department, your main focus will be leveraging data to drive insights and assist in making well-informed business decisions. Utilizing advanced analytics techniques, you will play a crucial role in helping clients optimize their operations and achieve their strategic goals. Specifically, in business intelligence at PwC, you will harness data and analytics to provide strategic insights and support informed decision-making for clients. Your responsibility will include developing and implementing innovative solutions to enhance business performance and gain competitive advantage. Key Responsibilities: - Minimum 3 years of professional experience in a Data and Analytics role with a Global organization - Understanding and application of core AWS services with a focus on security and scalability - Proficiency in key services such as EC2, S3, Athena, Glue, DynamoDB, Redshift, etc. - Experience in provisioning and spinning up AWS clusters - Developing business cases and cloud adoption roadmaps - Ability to drive projects from an architectural standpoint - Hands-on experience in Pyspark with good knowledge of Python and Spark concepts - Design, implement, and optimize Spark jobs for performance and scalability - Developing and maintaining data pipelines and ETL processes using Python and Pyspark - Performing data analysis and troubleshooting to ensure data quality and reliability - Experience with building CI/CD pipelines in Data environments would be beneficial - Understanding of data modeling and Data warehousing concepts - Suggesting changes to the current application infrastructure based on analysis - Defining and documenting best practices and strategies regarding application deployment and infrastructure Qualification Required: - Education qualification: BE/BTech/MBA/MCA - Mandatory skill sets: AWS - Preferred skill sets: AWS - Certifications: Not specified Additional Company Details (if any): At PwC, you will be part of a vibrant community that values trust and creates distinctive outcomes for clients and communities. The purpose-led and values-driven work at PwC, powered by technology and innovation,
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