PricewaterhouseCoopers

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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.

Job Description & Summary: -Design, develop, and maintain scalable big data solutions. -Implement data processing pipelines using PySpark and Hadoop. -Develop and optimize SQL queries for data extraction and analysis. -Manage and maintain HDFS for efficient data storage and retrieval.

Responsibilities:

• Utilize Hive for data warehousing and querying. -Collaborate with data scientists and analysts to understand data requirements and deliver solutions. -Ensure data quality and integrity throughout the data lifecycle. -Monitor and troubleshoot data workflows to ensure optimal performance

Mandatory skill sets:

• Proficiency in Python: Strong programming skills in Python for data manipulation and analysis. -SQL Expertise: Advanced knowledge of SQL for querying and managing databases. -PySpark: Experience with PySpark for big data processing. -Hadoop: Hands-on experience with Hadoop ecosystem components. -Hive Basics: Understanding of Hive for data warehousing and querying. -HDFS: Proficiency in HDFS for data storage and management

Preferred skill sets:

• Hands on experience for SAP BW for almost 4-7 years of experience. -Problem-Solving Skills: Ability to solve complex data problems and optimize workflows. -Collaboration: Strong communication and teamwork skills to work effectively with cross-functional teams.

Years of experience required:

• 4-7 years experience on SAP BW.

Education qualification:

• B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.)

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Extract Transform Load (ETL), Structured Query Language (SQL) Development

Optional Skills

Amazon Web Services (AWS), Microsoft Azure

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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