IN-Associate GCP Data Engineer Advisory Corporate Advisory Bangalore

Bengaluru Millenia, India

PwC

We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.

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Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

Management Level

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 PWCAt 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:

● Certifications

Minimum: Google Professional Data Engineer

● 3+ years direct experience working in IT Infrastructure

● 2+ 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 Engineer

*Years of Experience:

3-5Years

Education Qualifications:

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

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

Degrees/Field of Study required: Bachelor Degree

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Pipelines, Data Warehouse Reporting, GCP Dataflow

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Hadoop, Azure Data Factory, Communication, 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, Data Warehouse, Data Warehouse Indexing {+ 13 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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Architecture AWS Azure Cassandra Computer Science Dataflow Data pipelines Data quality Data warehouse Engineering GCP Hadoop HBase Java Mathematics MongoDB MS SQL MySQL Oracle Pipelines PostgreSQL Python Qlik Security Spark SQL Tableau Teradata

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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