Azure Data Engineer

Rivago Infotech Inc; Toronto; On-site; CAD 90,000 - 150,000; Full time

Job summary

Rivago Infotech Inc. is hiring an Azure Data Engineer with Databricks expertise to design, implement, and optimize large-scale data pipelines. The role focuses on scalability, reliability, and performance, working with stakeholders to deliver advanced data solutions.

Key duties include building ETL/ELT pipelines with Databricks, leveraging PySpark and SQL for data transformation, and integrating data from Azure Blob Storage and ADLS to support dashboards and BI tools.

Qualifications

• Strong experience with Azure cloud services and Databricks.
• Proficient in SQL, Python, and Spark for data processing.
• Experience designing and managing data pipelines and data warehousing.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Databricks.
• Transform data using PySpark/Spark and SQL for analytics and BI.
• Integrate data from Azure Blob Storage, ADLS, and other sources.

Skills

Azure Databricks

SQL

Python

Spark

Data Warehousing

Tools

Databricks Asset Bundles

GitLab

Unity Catalog

Job description

Role : Azure Data Engineer with Databricks Expertise

Job Summary:

We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions.

Key Responsibilities:

• Build and maintain scalable ETL/ELT pipelines using Databricks.
• Leverage PySpark/Spark and SQL to transform and process large datasets.
• Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.
• Work Closely with multiple teams to prepare data for dashboard and BI Tools.
• Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.

Performance & Optimization:

• Optimize Databricks workloads for cost efficiency and performance.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.

Governance & Security:

• Implement and manage data security, access controls and governance standards using Unity Catalog.
• Ensure compliance with organizational and regulatory data policies.
• Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.
• Manage version control for Databricks artifacts and collaborate with team to maintain development best practices.

Technical Skills:

• Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)
• Proficiency in Azure Cloud Services.
• Solid Understanding of Spark and PySpark for big data processing.
• Experience in relational databases.
• Knowledge on Databricks Asset Bundles and GitLab.

Preferred Experience:

• Familiarity with Databricks Runtimes and advanced configurations.
• Knowledge of streaming frameworks like Spark Streaming.
• Experience in developing real-time data solutions.

Certifications: