Lead Data Consultant, Manager
Job Description
• 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.
Experiences and skills you’ll use to solve
• 6+ years of experience in data engineering or architecture with an emphasis on data analytics and reporting
• Proficiency in developing data pipelines on cloud platforms such as Azure, AWS or Google Cloud
• 6+ years of experience in design and development of large scale data solutions using data 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.
• Proficiency in big data technologies and tools such as Spark/PySpark, Hadoop, Hive, Kafka
• Proficiency in common machine Learning libraries in Python, Spark, and Deep Learning/AI frameworks considered an asset
• Proficiency in any of the following programming languages, frameworks and technologies: JavaScript, React, Node.JS, Python, R, D3.JS, open source databases such as PostgreSQL, MySQL, MongoDB 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 about our comprehensive total rewards package.
