IN Senior Manager Big Data Architect D&A Advisory Mumbai

Mumbai Shivaji Park

PwC

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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.

*Why PWC

 

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

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

Mandatory skill sets:

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, Bachelor of Technology, Master of Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Big Data Architecture

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture Big Data Business Intelligence Cassandra Data Analytics Data management Data strategy Data warehouse Data Warehousing DynamoDB Engineering Flink Hadoop HBase Java Kafka Kinesis NoSQL OLAP Python Scala Scrum SDLC Spark Streaming Testing

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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