IN-Senior Associate_GCP Data Engineer_Advisory Corporate_Advisory_Bangalore

PWC

5 - 7 years

Bengaluru

Posted: 16/04/2025

Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

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. "


Responsibilities

● Bachelor’s degree in computer science, Mathematics or a related technical field or equivalent practical experience.

● Certifications

Minimum: Google Professional Cloud Architect Alternate: Google Professional Data Engineer Big Data Specialty Certification

● 7+ years direct experience working in Enterprise Data Warehouse technologies

● 3+ years in a customer facing role working with enterprise clients

● Experience with implementing and/or maintaining technical solutions in virtualized environments.

● Experience in design, architecture and implementation of Data warehouses, data pipelines and flows.

● Experience with developing software code in one or more languages such as Java and Python.

● Proficient with SQL

● Experience designing and deploying large scale distributed data processing systems with one or more technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik or MicroStrategy.

● Customer facing migration experience, including service discovery, assessment, planning, execution, and operations.

● Demonstrated excellent communication, presentation, and problem-solving skills.

● Willingness to travel around 30%-40%

*Mandatory Skills: GCP Data, Data Warehouse,Data pipeline

*Preferred Skill Sets-GCP Data, Data Warehouse,Data pipeline

*Years of Experience: 5-7 Years

Education Qualifications-Btech MCA

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

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Good Clinical Practice (GCP)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 18 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

About Company

PricewaterhouseCoopers (PwC) is a global professional services firm providing audit, tax, and consulting services. PwC helps organizations manage financial risks, comply with regulations, and improve performance through its expertise in industries like finance, healthcare, and technology.

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