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Sr. IFRS17 Data Engineer

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

Sr. IFRS17 Data Engineer

"Sr. IFRS17 Data Engineer

Must-Have Skills

Demonstrated knowledge of IFRS17, data analysis, and the insurance domain.

Expert knowledge of:

Data Analysis

SQL

Python

PySpark

Develop and maintain backend systems using Python and PySpark, ensuring high performance, scalability, and reliability.

Design and implement Data Engineering and ETL pipelines using PySpark.

Collaborate with cross-functional teams to identify and prioritize project requirements.

Mentor and guide engineers, providing technical guidance and code reviews.

Lead the technical direction of the team, including:

Architecture

Design

Implementation of software systems

Collaborate with product owners to define and prioritize requirements.

Develop and maintain technical documentation, including:

Architecture diagrams

Technical specifications

Participate in code reviews, ensuring high-quality code and adherence to coding standards.

Collaborate with DevOps and Operations teams for smooth deployment and operation of applications.

Expertise in DevOps practices and CI/CD pipelines.

Strong technical leadership, mentoring, and coaching skills.

Ability to make technical decisions, prioritize tasks, and manage technical resources.

Excellent communication and collaboration skills.

Ability to drive technical innovation by researching and evaluating new technologies and recommending technical solutions.

Strong problem-solving skills with the ability to debug complex issues.

Willingness to learn new technologies and adapt to new challenges.

Good to Have

DATAIKU exposure.

Stay up-to-date with the latest technologies and frameworks and apply this knowledge to improve existing systems and processes."

More about this job

Responsibilities

Develop and maintain scalable, reliable backend systems and PySpark-based data engineering and ETL pipelines, while leading architecture, implementation, and technical decisions. Collaborate with product, engineering, DevOps, and operations teams; mentor engineers; review code; maintain technical documentation; and evaluate technologies to improve systems and processes.

Requirements

Requires demonstrated knowledge of IFRS 17, data analysis, and the insurance domain, with expert-level SQL, Python, and PySpark skills. The role also calls for technical leadership, DevOps and CI/CD expertise, strong communication and problem-solving abilities, and experience mentoring engineers; Dataiku exposure is a plus.

Skills

  • IFRS 17
  • Data Analysis
  • Insurance Domain Knowledge
  • SQL
  • Python
  • PySpark
  • Data Engineering
  • ETL Pipelines
  • Technical Leadership
  • Architecture Design
  • Code Reviews
  • DevOps
  • CI/CD
  • Technical Documentation
  • Problem-Solving
  • Mentoring

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • Engineering
  • Finance & Accounting

Keywords

  • IFRS 17
  • Insurance
  • Data Analysis
  • SQL
  • Python
  • PySpark
  • Data Engineering
  • ETL
  • Backend Systems
  • Architecture Design
  • Software Implementation
  • Technical Leadership
  • Mentoring
  • Code Reviews
  • Technical Documentation
  • DevOps
  • CI/CD
  • Deployment
  • Operations
  • Dataiku
  • Scalability
  • High Performance
  • Reliability
  • Cross-Functional Collaboration
  • Requirements Prioritization
  • Technical Innovation
  • Technology Evaluation
  • Debugging

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