Senior Azure Data Specialist

Verafin; San Juan de Terranova; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading technology firm in Canada is seeking an experienced Azure Data Engineer to develop robust data engineering infrastructures. Candidates should possess strong expertise in Azure Data Factory and Databricks, along with experience in building data pipelines. The role emphasizes collaboration within a talented team to deliver innovative data solutions for clients. Competitive compensation and opportunities for growth are provided in this dynamic work environment.

Qualifications

• 7+ years’ experience in Data Engineering.
• 3 years or more in Azure Data Engineering.
• Expert Python and SQL skills.

Responsibilities

• Deliver data preparation and transformations using Azure tools.
• Build batch and streaming pipelines with Databricks.
• Gather client requirements and escalate data engineering solutions.

Skills

Data Engineering

Data Modeling

ETL

Python

Tools

Azure Data Factory

Azure Databricks

Spark/Pyspark

Job description

Overview

Position Description: Are you an experienced Azure Data Engineering professional interested in working in a talented and collaborative team developing Cloud, Data and AI solutions for leading global clients? Do you regularly find yourself in conversations on disparate and dispersed data sources and feel the need to create a robust data engineering infrastructure to sort that mess out? If you have that technical expertise of building pipelines and enabling data engineering or ETL in organizations, a genuine flair for solving problems, and the mindset to collaborate with diverse clients and team members alike, we’re looking for you.

Expertise in Azure Data Factory, Azure Databricks and Spark/Pyspark is required for this role

Responsibilities

• As an Azure Data Engineer (Databricks) on this team your responsibilities will include:
• Delivering on areas of data preparation and transformations and ETL or ELT development on Azure – Azure Data Factory (ADF), Azure Databricks, Azure Data Lake (ADLS), Synapse, Azure SQL Database, Azure SQL Data Warehouse
• Building batch and streaming data pipelines with Databricks in a business environment with large-scale, complex and big data datasets and dispersed data sources
• Using SQL or Advanced SQL and Python skills as necessary
• Gathering client requirements, coding and building Data Engineering pipelines in Azure
• Implementing proof of concepts to show value and then packaging and scaling to full data engineering scale on both on-prem and cloud environments
• Strategically collaborating with clients to explore data sources and build Power BI dashboards with Azure Data Engineering
• Supporting and collaborating with other Data Engineers or Data Scientists in the team with technical knowledge

Required qualifications

• Azure Databricks, Azure Data Factory, and Spark/Pyspark experience is mandatory
• 7+ years’ experience in Data Engineering
• Experience with building streaming pipelines on Azure
• 3 years or more in Azure Data Engineering
• Data analysis, storage, data pipelines, and orchestration
• Expert Python and SQL skills
• Experience working on Big Data

Skills

• Data Engineering
• Data Modeling
• ETL
• Python

What you can expect from us

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team—one of the largest IT and business consulting services firms in the world.