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.
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:
Experiences and skills
you’ll
use to solve
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.
4+ years of experience in data engineering or architecture with an emphasis on data analytics and reporting
Experience in using
Azure, AWS, or Google Cloudservices to analyze data, build data models and generate visualizations
4+ years of 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.
Proficiencyin
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 with building data pipelines in streaming and batch mode
Experience with database management,migrationand transformation to cloud native DBs like Cloud SQL, Spanner, etc.
Experience in development using message queues (cloud pub sub), stream processing,highly availableand fault tolerant techniques
Experience with Git and CI/CD pipelines
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 $84,700 - $134,700. 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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