Software Developer - Senior

LanceSoft; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking a Senior Software Developer to lead data migration and ETL processes. This role requires expertise in Azure Data Factory and database administration, focusing on optimizing performance and ensuring data integrity. You will work with various data sources, implementing best practices in data management and security. Join a dynamic team where your contributions will shape the future of data solutions, and enjoy a collaborative environment that fosters innovation and professional growth. If you have a passion for data and a desire to make an impact, this opportunity is for you!

Qualifications

• 5+ years of experience in ETL roles with strong understanding of data extraction and transformation.
• Proficiency in Azure Data Factory and database performance management.

Responsibilities

• Develop and maintain ETL processes for data migration and transformation.
• Optimize database performance and ensure high availability through tuning and monitoring.

Skills

ETL Development

Data Pipeline Creation

Data Manipulation Languages (T-SQL, PL/SQL)

Azure Data Factory

Database Performance Tuning

Scripting Languages (Python, PowerShell)

CI/CD Processes

Data Modeling

Education

Bachelor's Degree in Computer Science or related field

Tools

Azure Data Factory

SQL Server

Oracle

Azure SQL Database

PowerShell

Azure CLI

Job description

Title: Software Developer - Senior

Location: Toronto (Onsite)

Duration: 10-12 Months

Mandatory Requirements

Data Migration, ETL - 40 Points

1. Demonstrated experience with ETL development, data pipelines, workflow orchestration and data ingestion, transformation, and movement.
2. Demonstrated experience in integrating various data sources and systems, both on-premises and in the cloud, using Azure ETL services or other ETL tools (e.g., ADF, SSMA, etc).
3. Demonstrated experience working with Azure Data Factory, including knowledge of pipeline creation, data flows, integration runtimes, triggers, and monitoring.
4. Demonstrated experience with data manipulation languages (T-SQL, PL/SQL), data definition languages, query performance analysis & tuning.
5. Demonstrated experience with SQL Server, Oracle, Azure SQL Databases.
6. Demonstrated experience with data modeling tools (e.g., Power Designer, ERWIN).
7. Demonstrated experience in scripting languages like Python and with Azure-specific scripting using PowerShell or Azure CLI.
8. Experience with software development lifecycle.
9. Experience with data modeling, physical database design, data flow diagrams.

Database Tuning and Administration - 30 Points

1. Demonstrated experience finetuning Azure SQL database for security, cost, performance, availability and reliability.
2. Demonstrated experience setting up monitors and alerts on critical database metrics to ensure high availability.
3. Demonstrated experience to automate operations.
4. Experience with supporting a large database in a production environment.

Azure Platform and Security - 20 Points

1. Experience with Azure Data Factory (ADF) and Database Migration services and tools.
2. Demonstrated experience Azure data management tools, DevOps.
3. Experience in Azure resource configuration and administration such as Azure SQL Database, Blob Storage, Key Vault, Application Insight resources, resource groups and subscriptions.
4. Familiar with Azure cloud platform.
5. Familiar with database security concepts and practices.
6. (Nice to have) Azure cloud certifications.

DevOps and CI/CD - 10 Points

1. Demonstrated experience with continuous integration/continuous deployment (CI/CD) tools and processes around DevOps, data workflows, Synapse workspaces.

Must haves:

1. 5+ year experience working with RDBMS, Azure SQL Server, Database Administration, security management for high-sensitive database, database performance management, query performance analysis & tuning, database quality practice, good understanding of Azure storage concepts and technologies.
2. 5+ years of working experience in an ETL role; strong understanding of ETL principles, including data extraction, transformation, and loading processes; knowledge of common ETL design patterns. Understanding of data pipeline architectures, Azure workflow orchestration tools, and concepts related to data ingestion, transformation, and movement.
3. Proficiency in Azure Data Factory, SSMA, Database Migration Services, including knowledge of pipeline creation, data flows, integration runtimes, triggers, and monitoring.
4. Proficiency in scripting languages, relational data models, data manipulation languages (T-SQL, PL/SQL), data definition languages, physical database design, and experience with Azure-specific scripting using PowerShell or Azure CLI.
5. Experience with continuous integration/continuous deployment (CI/CD) processes around DevOps, data workflows, Synapse workspaces.

Nice to have:

1. Azure cloud certifications (e.g., Azure fundamentals, Azure Data Engineer associate, Azure Database Administrator associate).
2. Proficiency in Oracle database administration.