Data Engineer

United Software Group Inc. - Canada; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A technology solutions provider is seeking a Data Engineer to join its team in Toronto. The successful candidate will design and develop cloud-based data pipelines in collaboration with tax teams, driving data-driven decisions. Candidates should possess a Bachelor's degree and relevant experience in SQL and ETL processes. This role offers a chance to work in a fast-paced environment utilizing Agile methodologies.

Qualifications

• Minimum 2 years of relevant professional experience.
• Strong attention to detail and problem-solving abilities.
• Good communication skills and ability to work in a fast-paced environment.

Responsibilities

• Develop and standardize reporting solutions.
• Design and implement data ingestion processes.
• Collaborate with cross-functional teams on data-driven decisions.

Skills

SQL

ETL pipelines

Data modeling

Python

Spark

Education

Bachelor’s degree or equivalent

Job description

Overview

Data Engineer

We are looking for a Data Engineer to join our fast growing team. This person will be responsible for expanding cloud based data pipeline architecture for the various cross functional Tax teams. The ideal candidate has experience building robust data pipelines and reporting tools. However, someone with a strong application development background with keen interest in data engineering would be considered. The candidate will be collaborating extensively with Engineering, Tax Compliance and Tax Reporting teams to support functional use-cases and take data driven decisions.

Responsibilities

• Develop domain and data models to provide standardized reporting solutions to the firm (and understand differences between the two)
• Design and develop data ingest and transform processes
• Develop automation, governance and reporting solutions to provide firm and regulatory mandated controls
• Work as part of a global team using Agile software methodologies
• Partner with Tax risk, compliance and reporting teams
• Use data to drive change throughout the Tax business

Qualifications

• Bachelor’s degree or equivalent required
• Minimum 2 years of relevant professional experience (VP - requires more)
• Experience with SQL and relational databases
• Experience with building workflows (ETL pipelines)
• Experience working with large and disparate datasets
• Self-starter, motivated, and good communication skills
• Problem solver with attention to detail who can see complex problems in the data space through end to end
• Willingness to work in a fast paced environment
• Strong sense of ownership and driven to manage tasks to completion
• Interest in applying technical knowledge to Financial Services industry

Preferred Qualifications

• Experience with data architecture, modeling and infrastructure
• Proficiency in Python, Spark and the Hadoop ecosystem
• MS / BS in Computer Science or relevant industry experience.