Lead Big Data Spark Engineer

Reposted Yesterday
Be an Early Applicant
Mississauga, ON
In-Office
121K-171K Annually
Senior level
Fintech • Financial Services
The Role
Lead the design and development of big data platforms using Scala and Spark, mentor engineers, and collaborate with teams to deliver scalable solutions.
Summary Generated by Built In

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 Spark.
    • Drive 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 stakeholders.
    • Work closely with DevOps 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 improvement.
    • Stay 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 technologies.
    • 3+ 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 (e.g., Hadoop, Kafka, Cassandra, HBase, Delta Lake, Snowflake, Databricks).
    • Proficiency with cloud platforms (AWS, Azure, GCP) and their big data services (e.g., EMR, Redshift, Glue, DataProc, BigQuery).
    • Experience with containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
    • Solid understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
    • Familiarity with functional programming paradigms in Scala.
  • Skills:
    • Exceptional problem-solving and analytical skills.
    • Strong 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:

$120,800.00 - $170,800.00

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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 suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

Top Skills

Spark
AWS
Azure
Cassandra
Ci/Cd
Databricks
Delta Lake
Docker
GCP
Hadoop
Hbase
Kafka
Kubernetes
Scala
Snowflake
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The Company
HQ: Kwun Tong, Kowloon
223,850 Employees

What We Do

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.

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