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Lead Big Data Spark Engineer

Job in Mississauga, Ontario, Canada
Listing for: 08763 Citi Canada Technology Services ULC
Full Time position
Listed on 2026-02-11
Job specializations:
  • Software Development
    Data Engineer
Job Description & How to Apply Below

About the Role:

We are seeking an experienced and highly skilled Big Data Engineer to lead the design, development, and implementation of our next-generation big data platforms and applications. The ideal candidate will be a technical leader with a strong background in Scala, Spark, and other big data technologies, capable of driving innovation, mentoring engineers, and collaborating with cross-functional teams to deliver robust and scalable solutions.

This role requires a strategic thinker who can translate business requirements into technical architecture and lead their execution.

Key Responsibilities:

  • Technical Leadership:Lead the architecture, design, and development of high-performance, scalable, and reliable big data processing systems using Scala and Apache technical vision and strategy for big data initiatives, ensuring alignment with overall company goals and industry best practices.

    Evaluate and recommend new technologies and tools to enhance our big data capabilities and maintain a competitive edge.
  • Engineering & Development:Design, develop, and optimize data pipelines for ingestion, transformation, and storage of massive datasets from various sources.

    Implement robust and efficient data processing jobs using Scala and Spark (batch and streaming).Ensure data quality, integrity, and security across all big data platforms.

    Promote and enforce best practices in coding, testing, and deployment.
  • Team Leadership & Mentorship:Mentor and guide a team of talented big data engineers, fostering a culture of technical excellence, continuous learning, and collaboration.

    Conduct code reviews, provide constructive feedback, and contribute to the professional growth of team members.

    Participate in the recruitment and hiring of top engineering talent.
  • Collaboration & Stakeholder Management:Partner with product managers, data scientists, and other engineering teams to understand business requirements and translate them into technical solutions.

    Communicate complex technical concepts and solutions effectively to both technical and non-technical closely with Dev Ops and SRE teams to ensure operational excellence, monitoring, and troubleshooting of big data systems.
  • Strategy & Innovation:Contribute to the strategic roadmap for big data engineering, identifying opportunities for innovation and abreast of emerging trends and technologies in the big data ecosystem and incorporate them into our platform where appropriate.
  • Qualifications:

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience:8+ years of progressive experience in software development, with at least 5+ years focusing on big data years of experience in a leadership or senior architectural role.

    Extensive hands-on experience with Scala for big data processing.

    Demonstrated expertise with Apache Spark (Spark Core, Spark SQL, Spark Streaming).Strong experience with distributed systems and big data ecosystems (, Hadoop, Kafka, Cassandra, HBase, Delta Lake, Snowflake, Databricks).Proficiency with cloud platforms (AWS, Azure, GCP) and their big data services (, EMR, Redshift, Glue, Data Proc, Big Query).

    Experience with containerization technologies (Docker, Kubernetes) and CI/CD understanding of data warehousing concepts, ETL/ELT processes, and data modeling.

    Familiarity with functional programming paradigms in Scala.
  • Skills:Exceptional problem-solving and analytical leadership, communication, and interpersonal skills.

    Ability to work independently and collaboratively in a fast-paced, dynamic environment.

    Proactive and results-oriented with a strong sense of ownership.
  • Preferred Qualifications:

  • Experience with real-time data processing and stream analytics.
  • Knowledge of machine learning frameworks and their application in big data.
  • Contributions to open-source big data projects.
  • Experience in the financial services industry.
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    Job Family Group:

    Technology

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    Job Family:

    Applications Development

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    Time Type:

    Full time

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    Primary Location Full Time Salary Range:

    $120, - $170,

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    Most Relevant Skills

    Please see the requirements listed above.

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    Other Relevant Skills

    For complementary skills, please see above and/or contact the recruiter.

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    Automated Processing and AI

    We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

    Importantly, all our hiring processes and decisions, including determining your…

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