Senior Java Engineer Tech Lead - Vice President

Citigroup Inc.

Mississauga

On-site

CAD 121,000 - 171,000

Full time

5 days ago
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Job summary

Citigroup Inc. in Mississauga, Canada is seeking a Senior Java Engineer/Tech Lead to design, develop, and optimize distributed data applications and backend services.

You will build scalable data pipelines with Java, Spark, and Hadoop ecosystem tools, and lead technical design discussions with data engineers and architects. The role requires hands-on expertise in big data technologies, cloud platforms, and performance tuning to deliver enterprise-scale solutions.

Qualifications

  • 8+ years of software development experience.
  • 5+ years of hands-on Java backend development.
  • Expert in Java and Spark development with hands-on experience with Apache Spark and Big Data technologies.
  • Strong SQL and data analysis skills.
  • Experience delivering enterprise-scale Big Data solutions in cloud environments.
  • Ability to lead technical design discussions and mentor team members.

Responsibilities

  • Design, develop, and maintain scalable backend applications using Java.
  • Build high-performance data processing pipelines using Apache Spark.
  • Develop and optimize ETL/ELT workflows for large-scale data platforms.
  • Work with Hadoop ecosystem components including Hive, HDFS, YARN, and Spark.
  • Design and implement distributed data processing solutions on Databricks.
  • Develop batch and real-time data processing applications.
  • Optimize Spark jobs for performance, memory management, and scalability.
  • Work closely with data architects, data engineers, and business teams.
  • Implement data quality, validation, monitoring, and observability solutions.
  • Integrate data from multiple sources and platforms.
  • Participate in code reviews and architecture discussions.
  • Support production deployments and troubleshoot performance issues.
  • Ensure security, governance, and compliance requirements are met.

Skills

Java backend
Big Data concepts
Data analysis
Cloud experience
Mentoring / leadership

Education

Bachelor's degree
Master's degree preferred

Tools

Databricks
Apache Spark
Hive
HDFS
YARN

Job description

We are seeking an experienced Senior Java Engineer, Tech Lead with strong expertise in Java, Apache Spark, Hadoop ecosystem, Hive, Databricks, and large-scale data processing platforms. The ideal candidate will design, develop, and optimize distributed data applications and backend services that process massive volumes of structured and unstructured data. This role requires hands‑on experience with data engineering, big data technologies, cloud platforms, and performance optimization.

Responsibilities
  • Design, develop, and maintain scalable backend applications using Java.
  • Build high-performance data processing pipelines using Apache Spark.
  • Develop and optimize ETL/ELT workflows for large-scale data platforms.
  • Work with Hadoop ecosystem components including Hive, HDFS, YARN, and Spark.
  • Design and implement distributed data processing solutions on Databricks.
  • Develop batch and real‑time data processing applications.
  • Optimize Spark jobs for performance, memory management, and scalability.
  • Work closely with data architects, data engineers, and business teams.
  • Implement data quality, validation, monitoring, and observability solutions.
  • Integrate data from multiple sources and platforms.
  • Participate in code reviews and architecture discussions.
  • Support production deployments and troubleshoot performance issues.
  • Ensure security, governance, and compliance requirements are met.
Recommended Qualifications
  • 8+ years of software development experience.
  • 5+ years of hands‑on experience with Java backend development.
  • Expert in Java and Spark development with hands‑on experience with Apache Spark and Big Data technologies.
  • Strong SQL and data analysis skills.
  • Experience working with Databricks platforms.
  • Experience in distributed systems and large‑scale data processing.
  • Ability to lead technical design discussions and mentor team members.
  • Experience delivering enterprise‑scale Big Data solutions in cloud environments.
Education
  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred

This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required.

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

Primary Location Full Time Salary Range

$120,800.00 - $170,800.00

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

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

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.

This job opening is for an existing job vacancy.

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.

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