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Google Cloud Platform Data Consultant, Manager
Job Description & How to Apply Below
Advisory
Industry/Sector
Not Applicable
Specialism
Technology Strategy
Management Level
Manager
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.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
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.
Demonstrates in-depth abilities and/or success in one or many of the following areas:
Experience in GCP .Google Cloud Platform.
Experience in Architecting and Designing solutions leveraging Google Cloud products such as Cloud Big Query, Cloud Data Flow, Kubernetes, Cloud Pub/Sub, Cloud Big Table and Tensor Flow will be highly preferred.
Experience in delivering artifacts such as scripts (Python), dataflow components Strong experience with SQL
Experience in building and optimizing large scale data pipeline systems.
Experience in Big Data Analytic frameworks and query tools such as Spark Hadoop Hive Impala etc.
Experience working with SQL and No
SQL databases like Mongo
DB Cassandra.
Good understanding of Big data design patterns and performance tuning.
Experience with data pipeline and workflow management tools:
Azkaban Oozie etc.
Strong Data Warehousing experience building operational ETL or ELT pipelines comprised of several sources and architecting Data Models or Layers for Analytics
Experience with Migration of Workloads from on-prem/other public clouds to Google Cloud Platform.
Preferred Qualifications:
GCP Certification(s), Cloud Data Engineer
This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.
The salary range for this position is $112,400 - $162,400 . The posted salary range represents the expected hiring range for PwC locations in major city centres . Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements.
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