Senior Java Lead Engineer

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This range is provided by Michael Page. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$140,000.00/yr - CA$145,000.00/yr

Maintain existing Java-based data pipelines and help design a next-generation, cloud-native data and analytics platform. Build scalable data pipelines, ensuring data quality, and collaborate with cross-functional teams to deliver high-impact data solutions.

One of Canada's leading banks.

Description

• Design, build, and maintain efficient and scalable data pipeline architecture.
• Implement both standardized data products and custom data models to ensure data is fit for purpose.
• Provide tech support to resolve escalated incidents and outages in a timely manner.
• Translate business requirements and architectural standards into functional, technical, and user interface designs.
• Identify cost reduction opportunities and propose solutions to enhance efficiency and stakeholder satisfaction.
• Conduct code reviews to ensure quality, maintainability, and compliance with development standards.
• Participate in operational readiness reviews and support design sign-offs.
• Promote reuse by leveraging existing components and designing new modules with reusability in mind, ensuring alignment with business requirements.

Profile

• Tech Stack: Java, Spring
• Big data tools: Hadoop, HDFS, ADLS, ADF, Spark, Kafka, Databricks, Dremio etc.
• Experience with relational SQL and NoSQL databases, including Cassandra.
• Experience designing production grade, scalable applications and microservices.
• Nice to have: Capital Markets experience, Python and Scala

Job Offer

• Discretionary annual bonus
• Banking benefits and discounts
• Full medical and dental health benefits
• RRSP matching
  

Maintain existing Java-based data pipelines and help design a next-generation, cloud-native data and analytics platform. Build scalable data pipelines, ensuring data quality, and collaborate with cross-functional teams to deliver high-impact data solutions.

Client Details

One of Canada's leading banks.

Description

• Design, build, and maintain efficient and scalable data pipeline architecture.
• Implement both standardized data products and custom data models to ensure data is fit for purpose.
• Provide tech support to resolve escalated incidents and outages in a timely manner.
• Translate business requirements and architectural standards into functional, technical, and user interface designs.
• Identify cost reduction opportunities and propose solutions to enhance efficiency and stakeholder satisfaction.
• Conduct code reviews to ensure quality, maintainability, and compliance with development standards.
• Participate in operational readiness reviews and support design sign-offs.
• Promote reuse by leveraging existing components and designing new modules with reusability in mind, ensuring alignment with business requirements.

Profile

• Tech Stack: Java, Spring
• Big data tools: Hadoop, HDFS, ADLS, ADF, Spark, Kafka, Databricks, Dremio etc.
• Experience with relational SQL and NoSQL databases, including Cassandra.
• Experience designing production grade, scalable applications and microservices.
• Nice to have: Capital Markets experience, Python and Scala

Job Offer

• 3 weeks vacation
• Discretionary annual bonus
• Banking benefits and discounts
• Full medical and dental health benefits
• RRSP matching
  

MPI does not discriminate on the basis of race, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, or based on an individual's status in any group or class otherwise protected under applicable human rights legislation. MPI encourages applications from minorities, women, the disabled and all other qualified applicants

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Capital Markets

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