Senior Azure Databricks Engineer: Data Pipelines & Cloud Apps

Tata Consultancy Services; Toronto; On-site; CAD 100,000 - 120,000; Full time

Job summary

Tata Consultancy Services Canada Inc. is seeking a data engineering professional to design and implement scalable ETL/ELT pipelines using Azure Databricks and PySpark. You will build Delta Lake solutions, migrate legacy workflows, and develop REST APIs and .NET Core microservices in a cloud-first environment.

The role focuses on secure, scalable cloud architectures, serverless components, and end-to-end data integration across on-prem and cloud platforms in the Toronto area.

Qualifications

• Design and develop scalable ETL/ELT solutions using Azure Databricks.
• Develop data ingestion, transformation, and orchestration pipelines in the Azure cloud.
• Build and maintain Azure-native apps and services including serverless components.
• Design secure, scalable cloud architectures following best practices.

Responsibilities

• Design and develop scalable ETLELT solutions using Azure Databricks.
• Develop data ingestion, transformation, and aggregation pipelines using PySpark and Spark SQL.
• Implement Medallion Architecture (Bronze, Silver, Gold layers).
• Build optimized Delta Lake solutions for large-scale data processing.
• Develop reusable notebooks, workflows, and job orchestration processes.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Support migration of legacy ETL workflows to Databricks.
• Design and develop Azure-native applications and services.
• Build and maintain Azure Functions for serverless integrations.
• Develop REST APIs and microservices using .NET Core.
• Implement business logic and integrations using Azure App Services.
• Design secure and scalable cloud-native architectures.
• Create end-to-end integration patterns across cloud and on-premises systems.
• Develop data ingestion frameworks for structured and unstructured data.
• Design enterprise-grade solutions following Azure Well-Architected Framework.
• Participate in architecture reviews and technical design sessions.
• Develop data and application solutions aligned with security, governance, and compliance standards.
• Define reusable design patterns and development standards.

Skills

Azure Databricks

PySpark

Spark SQL

Delta Lake

REST APIs

.NET Core

Azure Functions

ETL Design

Cloud Architecture

Tools

Terraform

ARM Templates

Bicep

Informatica

SSIS

Oracle

Job description

Tata Consultancy Services Canada Inc. is seeking a data engineering professional to design and implement scalable ETL/ELT pipelines using Azure Databricks and PySpark. You will build Delta Lake solutions, migrate legacy workflows, and develop REST APIs and .NET Core microservices in a cloud-first environment.

The role focuses on secure, scalable cloud architectures, serverless components, and end-to-end data integration across on-prem and cloud platforms in the Toronto area.