Delhi, Delhi, India
Finance & Banking
Full-Time
PwC India
Overview
Line of Service
Advisory
Industry/Sector
FS X-Sector
Specialism
Data, Analytics & AI
Management Level
Senior Manager
Job Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.
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
Key Responsibilities:
Big Data Architect
Preferred Skill Sets
Big Data Architect
Years Of Experience Required
10+
Education Qualification
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, Bachelor of Technology
Degrees/Field Of Study Preferred
Certifications (if blank, certifications not specified)
Required Skills
Big Data Architecture
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Influence, Intellectual Curiosity, Learning Agility, Optimism {+ 24 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
Senior Manager
Job Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.
- 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
Key Responsibilities:
- Provide technical leadership regarding data strategy and roadmap exercises, data architecture definition, business intelligence/data warehouse product selection, design and implementation for the enterprise.
- Proven track record of success in implementations for Data Lake, Business Intelligence and DW architecture.
- Hands on experience in leading large-scale global data warehousing and analytics projects. Demonstrated industry leadership in the fields of database, data warehousing or data sciences
- Be accountable for creating end-to-end solution design and development approach in a big data environment including hardware and software recommendations
- Should have Deep technical expertise with Big Data technologies like Hadoop, Hive, Hbase, Spark, and 2-3 years of experience of cloud technologies. Real time streaming technologies and time series with tools such as Spark, Flink, Samza etc. Caching and queueing technologies – Kafka/Kinesis etc.
- NoSQL understanding and use case application – Cassandra, HBase, DynamoDB
- Should have worked extensively in creating re-usable assets for Data Integration, transformation, auditing and validation frameworks
- Knowledge of any Scripting/Programming skills – Python, Java, Scala, Go
- Implementation and tuning experience of data warehousing platforms, including knowledge of data warehouse schema design, query tuning and optimization, and data migration and integration. Experience of requirements for the analytics presentation layer including dashboards, reporting, and OLAP
- Extensive experience in designing Data architecture, data modeling, design, development, data migration and data integration aspects of SDLC.
- Participate and/or lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
- Should have experience designing new or enhancing existing architecture frameworks and implementing them in a cooperative and collaborative setting
- Troubleshooting skills, ability to determine impacts, ability to resolve complex issues, and initiative in stressful situations
- Contributed in Business Development activities.
- Strong oral and written communication and interpersonal skills
- Working experience on Agile & Scrum methods
- Develop documentation and maintain as needed
- Support projects by providing SME knowledge to project teams in the areas of Enterprise Data Management
Big Data Architect
Preferred Skill Sets
Big Data Architect
Years Of Experience Required
10+
Education Qualification
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, Bachelor of Technology
Degrees/Field Of Study Preferred
Certifications (if blank, certifications not specified)
Required Skills
Big Data Architecture
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Influence, Intellectual Curiosity, Learning Agility, Optimism {+ 24 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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