Support the business line and solution designer in analyzing data and translating business needs into specifications

Document data flows and processing rules for corporate data

Implement data solutions in accordance with data models and analytical development best practices

Document the testing strategy and implement functional test scenarios

Create access groups and the RBAC matrix

Collaborate on the iterative production deployment of solutions with various business units

Implement data solution quality controls

Oversee data loads, communicate progress, resolve issues, and support solution operations

Handle service requests, incidents, and data corrections

Respond to internal and external audit requests

Participate in the planning and evolution of data solutions, including obsolescence management

Communicate with vendors to resolve issues and manage version updates

Requirements

At least 5 years of experience developing analytics solutions, along with formal training in information technology

Strong proficiency in Azure, Data Factory, Snowflake, ETL concepts, and deployment pipelines

Knowledge of medallion architecture concepts is an asset

Good knowledge of techniques, frameworks, and methodologies used in the field, including Secure®, Agile, and the Software Development Lifecycle

Excellent communicator who is organized and able to explain technical concepts clearly,



with strong synthesis skills and the ability to work effectively in a team

Proactive in identifying and resolving problems

Extensive knowledge of analytics methodologies and tools, including data warehousing

Knowledge of data promotion and loading processes

Strong command of SQL

Curious, self-directed, and rigorous

Knowledge of the insurance and financial services industries is a strong asset

Fluency in French

Intermediate proficiency in English

Core Competencies Demonstrates expertise in developing analytics solutions, implementing data quality controls, and managing data flows while effectively communicating technical concepts. Proficient in SQL and familiar with Azure, Data Factory, and ETL processes, with a strong understanding of the insurance and financial services industries.

Highest-signal resume keywords

Azure

Data Factory

SQL

ETL Concepts

Data Warehousing

Hard Skills

Analytics Solutions Development

Data Flow Documentation

Functional Testing Strategy

Data Solution Quality Controls

Data Promotion Processes

Medallion Architecture Concepts

Deployment Pipelines

Agile Methodologies

SAFe® Framework

Software Development Lifecycle

Soft Skills

Excellent Communication

Organizational Skills

Problem Solving

Team Collaboration

Synthesis Skills

Industry Keywords

Insurance Industry

Financial Services Industry

📌 ETL and Data Developer (Winnipeg)
🏢 Jobtailor
📍 Winnipeg