Google Cloud Platform Data Consultant, Senior Associate

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.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Respond effectively to the diverse perspectives, needs, and feelings of others.

Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

Use critical thinking to break down complex concepts.

Understand the broader objectives of your project or role and how your work fits into the overall strategy.

Develop a deeper understanding of the business context and how it is changing.

Use reflection to develop self awareness, enhance strengths and address development areas.

Interpret data to inform insights and recommendations.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

As a Sr. Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution.

5+ years of experience in data engineering or architecture with an emphasis on data analytics and reporting

Experience in using GCP services to analyze data, build data models and generate visualizations

5+ years of experience in design and development of large scale data solutions using GCP services like Data Proc, Dataflow, Cloud Bigtable, Big Query, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM

3+ year of experience in big data technologies and tools such as Spark/PySpark, Hadoop, Hive, Kafka

Experience building data processing pipelines to integrate large datasets from multiple sources and formats

Experience designing and developing data pipelines from ingestion to consumption within big data architecture using Python/Java/SQL etc.

Experience in designing and implementing solutions across various Cloud services such as GCE, GKE, cloud run, Big Query, Dataproc, Dataflow, Dataplex, Cloud

SQL, Cloudspanner, Looker etc.

Experience with building data pipelines in streaming and batch mode

Experience with database management, migration and transformation to cloud native DBs like Cloud SQL, Spanner, etc.

Experience in development using message queues (cloud pub sub), stream processing, highly available and fault tolerant techniques

Experience with Git and CI/CD pipelines

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life.

Learn more about our Application Process and Total Rewards Package at:

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