Data Engineer

Job Details:

• Location: Toronto, Ontario
• Work Model: Hybrid (2 Days Onsite per Week)
• Duration: 12 Months Contract
• Experience Required: 4–6 years of Data Engineering experience
• Mandatory Requirement: Permanent Residency (PR) is required
• Payroll: Realtek (Permanent with Realtek)
• Client: MNC

Are you passionate about building scalable data solutions and optimizing modern data platforms? We're looking for an experienced Data Engineer to join a high-performing team and help drive enterprise data transformation initiatives.

🔹 What You'll Be Doing:

• ✅ Design, develop, and maintain robust ETL frameworks
• ✅ Build and optimize data pipelines using Azure technologies
• ✅ Develop scalable data integration solutions for large datasets
• ✅ Collaborate with business and technical teams to deliver high-quality data solutions
• ✅ Support data governance, security, monitoring, and reporting initiatives

🛠 Must-Have Skills:

• ✔ Azure Data Factory (ADF)
• ✔ Azure Databricks (ADB)
• ✔ PySpark
• ✔ SQL
• ✔ ETL Framework Architecture
• ✔ Data Pipeline Development

📌 Experience Required:

• 🔹 4–6 years of Data Engineering experience
• 🔹 Hands-on experience with Azure Big Data technologies
• 🔹 Strong expertise in SQL and data modeling concepts

Your Impact:

• • Design and implement high-performance ETL frameworks
• • Develop scalable and efficient data pipelines
• • Transform raw data into meaningful business insights
• • Collaborate with cross-functional teams to drive data-driven decisions
• • Ensure data quality, security, and operational excellence

Ideal Candidate:

• ✅ 4–6 years of Data Engineering experience
• ✅ Strong hands-on expertise in Azure Data Factory, Databricks, PySpark, and SQL
• ✅ Experience with data warehousing and data integration solutions
• ✅ Strong problem-solving and analytical skills
• ✅ Comfortable working in Agile environments using Jira and Confluence

If you're passionate about cloud data engineering and enjoy solving complex data challenges, we'd love to connect with you!