Job Overview

As a Data Engineer – Enterprise Data Engineering, Data Science and Informatica, you will build and support data solutions that enable reliable analytics and data science. You’ll collaborate with colleagues to make trusted, accessible data available for informed decisions.

Responsibilities

- Develop and maintain data pipelines, integrations, and data warehouse solutions using Informatica and relevant database technologies.
- Process big data with platforms and tools such as Hadoop, Apache Hive, and Spark; support cloud-based data workflows on AWS.
- Design, query, and optimize data structures using SQL, Microsoft SQL Server, and Oracle, applying database design and analysis skills.
- Work in Agile teams and use programming or scripting tools to automate tasks, including Python, Java, VBA, Bash,



and shell scripting.

Requirements

Required: Practical SQL, data integration, database design, and analysis skills to build, validate, and support dependable data workflows. Explicit collaboration and problem-solving help you deliver maintainable solutions and communicate findings effectively.
Preferred: Experience with AWS, Informatica, Hadoop, Apache Hive, Spark, Microsoft SQL Server, Oracle, data warehouses, analytics, Python, Java, VBA, Bash, or Agile practices is valuable. Your impact: dependable data helps colleagues make timely, evidence-based decisions.

Work Location: In person

📌 Data Engineer – Enterprise Data Engineering, Data Science and Informatica (Brampton)
🏢 KData AI
📍 Brampton