AWS Data Engineering Specialist - Toronto, Ontario
1 day ago
Job description
Position Description
Location: Toronto
Hybrid: Must be willing to go on site downtown Toronto 3 times a week
Are you an experienced 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 about disparate and dispersed data sources and feel the need to create a robust data engineering infrastructure to sort that out? If you have the technical expertise to build pipelines and enable 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.
This is a hands-on role.
Responsibilities
- Deliver data preparation, transformations, and ETL/ELT development on AWS using services such as AWS Glue, Databricks, Amazon S3, Amazon Redshift, Amazon Athena, and Amazon RDS.
- Build batch and streaming data pipelines with Databricks.
- Work with large-scale, complex, and big data datasets from dispersed sources.
- Use advanced SQL and Python skills as necessary.
- Gather client requirements, code, and build data engineering pipelines on AWS.
- Implement proof of concepts to demonstrate value and scale to full data engineering solutions across on-prem and cloud environments.
- Collaborate strategically with clients to explore data sources and build dashboards and analytics solutions using AWS analytics services.
- Support and collaborate with other Data Engineers or Data Scientists in the team with technical knowledge.
Essential Skillsets And Expertise
- Databricks (on AWS), AWS Glue, and Spark/PySpark experience is mandatory.
- Total 5-7+ years' experience in Data Engineering.
- 3+ years of experience in AWS Data Engineering.
- Experience building streaming pipelines on AWS (e.g., Kinesis, MSK).
- Strong Python and SQL skills.
- Experience working with Big Data.
- Knowledge of data analysis, storage, pipelines, and orchestration.
Nice-to-Have Qualifications
- Experience in data engineering for AI or ML projects.
- Experience with data pipeline and workflow management tools (e.g., Airflow, Jenkins).
- Experience working with Spark/Hive.
- Experience building analytics dashboards using AWS QuickSight or other BI tools.
"CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes various factors including but not limited to skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $75,000 - $125,000." This role is a future opportunity.
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.
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