Aarorn Technologies Inc.

Java Big Data Engineer

Toronto, ON, Canada
Contracted
Experienced

Job Title: Java Big Data Engineer

Location: Toronto, ON (Hybrid – 4 days onsite per week)

Employment Type: Contract

About the Role:

We are looking for an experienced Java Big Data Engineer to join a dynamic team in the financial services sector. This is a hybrid role based in Toronto, requiring 4 days onsite per week. You will work on large-scale data processing pipelines, real-time streaming solutions, and high-performance Java applications.

Roles & Responsibilities:

  • Design, develop, and maintain scalable big data pipelines using Java and Spark

  • Work with Hadoop ecosystems (HDFS, Hive, HBase) to process and store large volumes of data

  • Implement real-time streaming solutions using Kafka and Spark Streaming

  • Optimize and tune performance of big data applications for efficiency and reliability

  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements

  • Write clean, maintainable, and testable code following best practices

  • Participate in code reviews, design discussions, and agile ceremonies

  • Troubleshoot and resolve production issues related to data processing and integration

  • Ensure data quality, governance, and security standards are met

  • Work with cloud-based data platforms (preferably Azure or AWS)

  • Support and maintain existing big data workflows and ETL processes

Required Skills:

  • Strong core Java (8+) development experience

  • Hands-on experience with Apache Spark (batch and streaming)

  • Proficiency in Hadoop ecosystem (HDFS, Hive, YARN)

  • Experience with Kafka for real-time data streaming

  • Strong SQL skills and experience with relational and NoSQL databases

  • Experience with Unix/Linux environments and shell scripting

  • Familiarity with version control (Git) and CI/CD pipelines

Good to Have Skills:

  • Experience with Azure (Data Lake, Databricks, Synapse) or AWS (EMR, S3, Redshift)

  • Knowledge of Scala or Python

  • Understanding of containerization (Docker, Kubernetes)

  • Experience with scheduling tools (Airflow, Oozie)

  • Financial services or banking domain experience

  • Knowledge of data warehousing concepts and tools

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