Data Engineer

TEEMA; Edmonton; On-site; CAD 70,000 - 100,000; Full time

Job summary

A leading company in Edmonton seeks a skilled Data Analyst with expertise in Python and R. The ideal candidate will have a strong background in data visualization and statistical analysis, along with excellent problem-solving and communication skills. Join a high-expectation environment where you can contribute to impactful data-driven decisions and best practices in data engineering. Your role will focus on analyzing complex data sets and helping to drive meaningful insights through advanced analytical techniques.

Qualifications

• Very strong proficiency in Python and/or R.
• Experience with data architecture and best practices.
• Knowledge of statistical packages for analyzing datasets.

Responsibilities

• Analyze data to discover trends and patterns using statistical techniques.
• Develop algorithms and models to transform data into actionable information.
• Help define best practices for data engineering at the organization.

Skills

Python

R

Data analysis

Problem-solving

Analytical skills

Data wrangling

SQL

Agile Methodologies

Communication

Presentation skills

Tools

Power BI

Hadoop

Team Foundation Server (TFS)

SQL Server

Job description

Understand the business requirements to understand the problems to solve.

Work with a data analyst to ensure data is available in the required structure and format.

Analyze data to discover trends and patterns using statistical techniques.

Develop algorithms and / or models to transform data into useful, actionable information.

Present information using data visualization techniques.

Help define best practices and standards for data engineering at the organization.

What you must have :

Very strong proficiency in Python and / or R.

Very strong proficiency with data architecture and best practices.

Strongproblem-solving and analytical skills.

Knowledge of statistics and experience using statistical packages for analyzing datasets

Data wrangling.

Experience using business intelligence tools (e.g. Power BI, Incorta) and data frameworks (e.g. Hadoop).

Understanding of analytical models and how to structure data for model usage.

Experience doing feature engineering and topic modelling.

Experience doing the following types of analysis : text analysis, comparative analysis, trend analysis, sentiment analysis.

Excellent communication and presentation skills.

Strong multi-tasking skills, with an ability to adapt to and manage changing priorities.

Ability to work within a team environment or independently as needed.

Ability to manage your time efficiently and work with little supervision.

Ability to manage stress in an environment with high expectations, tight deadlines and changing priorities.

Understanding best practices, methods, and standards for business intelligence, analytics, and visualizations.

Agile Methodologies.

Team Foundation Server (TFS) - Code Management

SQL Server Experience.

Knowledge of SQL.

Experience analyzing and transforming survey data.