Senior Java Tech Lead and Big Data Architect

Citigroup; Mississauga; On-site; CAD 171,000 - 242,000; Full time

Job summary

Citi in Mississauga, Canada, seeks a Senior Java Engineer/Tech Lead to design, develop, and optimize distributed data applications processing massive data volumes. You will build scalable backend services and data pipelines using Java, Spark, Hive, and Databricks.

Responsibilities include leading technical design discussions, mentoring teammates, and delivering enterprise-scale Big Data solutions in cloud environments, with emphasis on performance, security, and governance.

Qualifications

• 8+ years of software development experience.
• 5+ years of hands-on Java backend development.
• Expert in Java and Spark with Big Data tech experience.
• Strong SQL and data analysis skills.
• Experience with Databricks platforms.
• Experience in distributed systems and large-scale data processing.

Responsibilities

• Design, develop, and maintain scalable backend applications using Java.
• Build high-performance data processing pipelines with Apache Spark.
• Develop and optimize ETL/ELT workflows for large-scale data platforms.
• Work with Hadoop 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 and scalability.
• Collaborate with data architects, engineers, and business teams.
• Implement data quality, validation, monitoring, and observability.

Skills

Java

Apache Spark

Hadoop ecosystem

Hive

Databricks

SQL

Distributed systems

Education

Bachelor's degree

Master's degree preferred

Tools

Apache Spark

Databricks

Hadoop

Hive

Job description

Citi in Mississauga, Canada, seeks a Senior Java Engineer/Tech Lead to design, develop, and optimize distributed data applications processing massive data volumes. You will build scalable backend services and data pipelines using Java, Spark, Hive, and Databricks.

Responsibilities include leading technical design discussions, mentoring teammates, and delivering enterprise-scale Big Data solutions in cloud environments, with emphasis on performance, security, and governance.