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Data Engineer

2 months ago

Ottawa, Ontario, Canada BDO Full time

About BDO

BDO is a professional services firm that provides a wide range of services to clients across various industries. Our team of experts is dedicated to delivering exceptional service and helping our clients achieve their goals.

Your Opportunity

We are seeking a highly skilled Data Analytics Consultant/ Data Engineer to join our team. As a key member of our delivery practice, you will play a critical role in executing on enterprise-level client engagements and driving the implementation and successful end-user experience of analytics solutions.

Key Responsibilities

  • Engage directly with clients to understand their business needs and develop tailored analytics solutions.
  • Design and develop industry-specific data models for client projects, leveraging expertise in data engineering and analytics.
  • Collaborate with cross-functional teams to ensure timely and budget-friendly delivery of projects.
  • Develop and maintain complex data queries to facilitate ad-hoc and exploratory analytics.
  • Build and maintain real-time data capture and transformation functionality across all products.
  • Clean and wrangle data to ensure accuracy and quality.
  • Develop and maintain architectures such as databases and large-scale data processing systems.
  • Employ a variety of languages and tools to marry systems together.
  • Build or recommend data visualization tools and business intelligence tools to enable leaders to make swift, fact-based decisions.

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.
  • Data Visualization experience in Power BI, Tableau, or similar.
  • Experience using the Apache Hadoop ecosystem 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.

What We Offer

  • A dynamic and inclusive work environment that fosters growth and development.
  • A competitive compensation package and benefits.
  • Opportunities for professional development and learning.