Sr. Data Engineer-Java

Highbrow LLC; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading tech company in Toronto is seeking a Senior Data Engineer specializing in Java and Big Data. The role involves designing data pipelines, ensuring data quality, and supporting Capital Markets projects. Ideal candidates possess over 10 years of experience, including familiarity with Hadoop and Spark. The position offers a hybrid work model, requiring 2 days onsite each week.

Qualifications

• 10+ years of relevant experience in a related field.
• Experience designing scalable applications and microservices.
• 5+ years of Capital Markets experience.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Ensure data quality and integrity across various sources.
• Conduct code reviews to address quality and standards compliance.

Skills

Java

Big Data

Agile

Hadoop

Kafka

Microservices

Tools

Spring

Databricks

Spark

Cassandra

Job description

Job Title: Sr. Data Engineer-Java

Job ID: 2024-12900

Job Location: Toronto, ON (Hybrid – 2 days/week onsite)

Job Travel Location(s):

# Positions: 2

Employment Type: W2

Duration:Long Term

# of Layers:0

Work Eligibility:All Work Authorizations are Permitted – No Visa Transfers

Key Technology:Java, Big Data

Job Responsibilities:

• 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.
• 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 signoffs 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.

Skills and Experience Required:

Required:

• 10+ years of relevant experience in a related field of job function.
• Experience with: Java, Spring,
• Experience with 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.
• 5+ years of Capital Markets experience.
• Experience working on Agile Teams

Desired:

• Experience in Python and/or Scala