Description
& Summary At PwC, our people in Cloud, Data and AI focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals.In Cloud, Data and AI at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualization, and statistical modelling to support clients in solving 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:
Experiences and skillsyou’lluse to solve
6+ yearsof experience in data engineering or architecturewith an emphasis on data analytics and reporting
Proficiencyin developing data pipelines on cloud platforms such as Azure,AWSor Google Cloud
6+ yearsof experience in design and development oflarge scaledata solutions usingdata modelling/ data munging/ data management tool sets such as SQL Server, Oracle DB, Azure Synapse, Redshift, Alteryx, Databricks, Azure Data factory, AWS Glue, Informatica, Collibra, Denodo etc.
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.
Proficiencyin
big data technologies and tools such as
Spark/PySpark, Hadoop, Hive, Kafka
Proficiencyin common machine Learning libraries in Python, Spark, and Deep Learning/AI frameworks considered an asset
Proficiencyin any of the following programming languages,frameworksand technologies:
JavaScript, React, Node.
JS, Python, R, D3.JS,open sourcedatabases such as Postgre
SQL, MySQL, Mongo
DB considered an asset
Data engineering certification is a plus
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.
We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details…
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