Data Analytics Consultant

4 weeks ago

Oakville, Ontario, Canada BDO Full time
About the Role

BDO is seeking a highly skilled Data Analytics Consultant/ Data Engineer to join our growing client-facing team on a full-time permanent basis.

Key Responsibilities
  • Play a key role in our delivery practice, executing on enterprise-level client engagements through various industry specializations.
  • Engage directly with clients, driving the implementation and successful end-user experience of analytics solutions, ensuring timely and budget-friendly delivery.
  • Design and develop industry-specific data models for client projects in sectors such as Natural Resources, Finance, Manufacturing, and Distribution, and Retail.
  • Collaborate with other engineers to enhance data models and improve data query efficiency, creating complex data queries for ad-hoc and exploratory analytics.
  • Build real-time data capture and transformation functionality across all products, developing a technology stack for Business Intelligence and Data Warehouse.
  • Clean and wrangle data, reviewing for inconsistencies and identifying opportunities to improve data collection processes.
  • Develop, construct, test, and maintain architectures such as databases and large-scale data processing systems, designing, constructing, installing, testing, and maintaining highly scalable data management systems.
  • Employ various languages and tools to integrate systems, building or recommending data visualization tools and business intelligence tools for swift, fact-based decision-making.
  • Stay up-to-date with development technologies, both current and future, to deliver state-of-the-art Analytics solutions for customers.
Success Criteria
  • Demonstrate BDO's core values through all aspects of work: Integrity, Respect, and Collaboration.
  • Understand client industries, challenges, and opportunities, with clients describing you as positive, professional, and delivering high-quality work.
  • Identify, recommend, and focus on effective service delivery to clients.
  • Contribute to an inclusive and engaging work environment that develops, retains, and attracts talent.
  • Actively participate in the adoption of digital tools and strategies to drive an innovative workplace.
  • Grow expertise through learning and professional development.
Requirements
  • Post-secondary education in engineering or computer science or equivalent work experience.
  • Good experience working with Azure Databricks, Azure Data Factory, and Azure Data Lake.
  • Strong attention to the quality of work delivered (attention to detail).
  • Able to adapt quickly to changing client requirements.
Preferred Qualifications
  • Experience with the Microsoft SQL Server Analytics stack, including Core SQL, SSIS, SSRS, and SSAS.
  • Programming experience in Python.
  • Experience working with SQL and NoSQL databases.
  • Knowledge of Continuous Integration and Source Control systems, such as Gradle, Maven, Bamboo, TeamCity, and Git.
  • Data Visualization experience in Power BI, Tableau, or similar.
  • Experience using the Apache Hadoop ecosystem, including Spark, Data Lake, Hive, HDFS, and Impala, to tackle 'big data' problems.
  • Exposure to data science, machine learning, or statistics.
  • Some experience using Docker.
  • Knowledge of ETL, ELT, Lambda, and Kappa data architectures.

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