Big Data Engineer

3 weeks ago

Old Toronto, Ontario, Canada Electronic Arts Inc. Full time
Job Title: Big Data Engineer Temps Plein

As a key member of our Adrenaline team, you will play a crucial role in developing data architectures that support our central technology team. You will collaborate with a wide range of team members, including game studios, tech teams, technology partners, and other teams, to bring high-level subject matter expertise to our products journey. You will contribute to the development of our data strategy and support investment plans, reporting to our Director of Data Architecture.

Key Responsibilities:
  • Work with Business and technical partners to translate use cases and associated data models into data solutions and bring them to completion in partnership with data engineering and product management.
  • Design and implement a data architecture applying open table formats like Iceberg, ensuring metadata management and cataloguing for efficient data discovery and governance.
  • Develop conceptual, logical, physical, and transformational data models including appropriate models to support analytics solutions and insights.
  • Collaborate with teams to implement event-driven architectures and domain-driven design principles for real-time data processing and high-scale data products.
  • Design distributed workflows and pipelines for seamless real-time data ingestion, transformation, and analysis.
  • Contribute to target state for data architecture components towards Data Lakehouse and Data/AI products design.
  • Develop data standards in partnership with Governance Team such as a common business vocabulary, naming conventions, data standards and transformation rules.
  • Design data contracts to ensure data integrity and consistency across domains in a Data Mesh environment with Software Engineering team.
  • Ensure completion of tasks, milestones, and components, including functional specifications, design specifications, and project reviews.
  • Conduct requirements mapping, vendor evaluations, technical proof-of-concept projects, use cases and test cases.
Requirements:
  • Bachelor Degree in CS/Statistics/Math or equivalent experience.
  • 8+ years of work experience with enterprise data warehousing, data management, business intelligence and large-scale data solutions.
  • Excellent SQL or Python skills.
  • Knowledge with YAML Data modelling.
  • Experience in system cataloguing, metadata management, and Reference Data.
  • Familiarity with Big Data and Data Analytics Stack.
  • Experience with columnar databases, MPP databases.
  • Knowledge or Experience in Data mesh and Data Lakehouse Designs.
  • Knowledge of data privacy practices and laws (internationally).
  • Experience presenting to business and technical teams including executive management.

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