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Big Data jobs in Toronto, ON

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    • Monitor and troubleshoot data pipeline issues, ensuring reliability and timely delivery of data.
    • Work with distributed computing frameworks to process and…
    • View all Citrine Solution jobs - Mississauga jobs - Big Data Architect jobs in Mississauga, ON
    • Salary Search: Big Data Engineer salaries in Mississauga, ON
    • Interpret and define the data needs of business teams.
    • Experience with data visualization and presentation, including tool sets for supporting this.
    • Experience with data mining and data transformation.
    • Experience with database, data warehouse or data lake solutions.
    • Are 18 years of age or older.
    • Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles.
    • Are 18 years of age or older.
    • Solid understanding of data and data modeling.
    • Document and maintain data mapping specifications and business rules to support data governance efforts.
    • Collaborate with cross-functional teams to improve data quality, pipeline reliability, and system observability.
    • Proven experience in data migration, data warehousing, or system integration projects .
    • Experience with Snowflake or other modern cloud data platforms.
    • Ability to transform data into actionable business insights and recommendations.
    • Support implementation and adoption of customer data and asset management…
    • 6–10+ years of experience in data engineering / data platforms.
    • Strong experience in data modeling, ETL/ELT, and large-scale data processing.
    • Perform data analysis, reconciliations, and exception management across key investment data domains.
    • Execute and enhance data quality controls to ensure…
    • Experience with big data architectures and data modeling to efficiently process large volumes of data.
    • Comprehensive knowledge of data platform architecture,…
    • Experience designing and supporting data lakes, data warehouses, streaming platforms, and modern analytics ecosystems.
    • Partner with developers, data scientists, and business stakeholders to embed insights into enterprise workflows and lead data-informed decisions.
    • This role is responsible for aggressively developing the business of Graybar by prospecting new customers and creating mutually beneficial business…
    • Experience analyzing cloud billing and consumption data from AWS, Microsoft Azure, Google Cloud, or other major technology vendors.
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Career Resources:

Big Data Engineer
Citrine Solution
Mississauga, ON
•
Hybrid work
$100,000–$130,000 a year
Full-time
Apply now

Job details

$100,000–$130,000 a year
Flexible schedule
Full-time
Hybrid work in Mississauga, ON

Full job description

Big Data Engineer

Mississauga, ON Hybrid(3 days office per week)

Fulltime

Job Description:

JD:

  • Develop and maintain scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently.
  • Write clean, reusable, and optimized code in Python for data manipulation, analysis, and automation tasks.
  • Design and implement ETL workflows to extract, transform, and load data from various structured and unstructured sources.
  • Collaborate with data engineers, analysts, and stakeholders to understand data requirements and deliver solutions.
  • Optimize Spark jobs for performance tuning, resource utilization, and minimizing execution time.
  • Work with distributed computing frameworks to process and analyze big data in a cloud or on-premises environment.
  • Develop and maintain unit tests to ensure the accuracy and reliability of data pipelines and transformations.
  • Utilize Spark SQL for querying and managing large datasets stored in distributed systems like Hadoop or cloud storage.
  • Monitor and troubleshoot data pipeline issues, ensuring reliability and timely delivery of data.
  • Stay updated with the latest advancements in PySpark, Spark SQL, and big data technologies to improve existing systems.

Pay: $100,000.00-$130,000.00 per year

Benefits:

  • Flexible schedule

Experience:

  • Big Data: 6 years (required)
  • SQL: 5 years (required)
  • PySpark: 1 year (required)

Work Location: Hybrid remote in Mississauga, ON (L5B)

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