Sr. Java Developer

Job Title: Sr. Java Developer

Job Location: Toronto, ON or London, ON (2 days/week onsite)

# Positions: 5

Employment Type: FTE

Key Technology: Java

Job Responsibilities:

· Ensure data quality and integrity across various data sources and systems to ensure data accuracy, completeness, and reliability.

· Optimize data pipelines for performance and scalability.

· Provide technical support to promptly resolve escalated incidents/outages.

· Develop and document a detailed solution design, impart your subject matter expertise throughout life cycle.

· Take business, Enterprise Architecture, system performance and development standards requirements, then develop functional, technical and user interface designs for an application and/or system.

· Find ways to keep costs low, help come up with strategic solutions to support cost effectiveness and enhance stakeholder experience.

· Conduct code reviews to address quality, standards compliance, reusability and ease of maintenance, Operational Readiness Reviews, and support gating and review sign-offs for solution design.

· Ensure design leverages existing reusable components, traces back to business requirements, and that new modules are designed with reusability in mind.

· Keep up to date with the latest industry trends and technologies related to data engineering.

· Create and maintain optimal data pipeline architecture

· Implement data products curated by our Chief Data Office, as well as custom data models for fit for use.

Skills and Experience Required:

Required

· 10+ years of relevant experience as a Java developer.

· Experience with Java and Spring.

· Experience with big data tools: Hadoop, HDFS, ADLS, ADF, Spark, Dremio etc.

· Experience with relational SQL and NoSQL databases, including Cassandra.

· Experience designing production grade, scalable applications and microservices.

· Experience working on Agile Teams

· Undergraduate Degree.

Desired

· Experience in Python and Scala

· 5+ years of Capital Markets experience.

· Experience with Kafka and Databricks.