Offer summary

Qualifications:

3+ years of experience as a Data Engineer or in a similar role., Strong proficiency in SQL and Python for data manipulation and automation., Hands-on experience with Spark and distributed data processing., Bachelor's degree in computer science, Engineering, or a related field..

Key responsabilities:

Design, develop, and maintain ETL pipelines for data ingestion and transformation.

Implement and manage scalable data architectures for analytics and reporting.

Collaborate with data scientists and stakeholders to understand data requirements.

Monitor and optimize data workflows to ensure reliability and performance.

Job description

Title: Data Engineer Analyst - P3

Location: Remote Canada

Reports To: Sr. Manager/Principle, Data Engineering

The Role: 

We are seeking an experienced Data Engineer to join our dynamic team. In this role, you will leverage your expertise in SQL, Python, Spark, ETL development, and data warehousing to build scalable data solutions, optimize data pipelines, and ensure efficient data flow across our organization. If you are passionate about transforming raw data into actionable insights, we want to hear from you!

The Impact You Will Have in This Role:

As a Data Engineer, you will play a pivotal role in empowering our business with reliable, high-quality data. Your contributions will enable our teams to make data-driven decisions, enhance operational efficiency, and deliver innovative solutions to our clients. By ensuring seamless data integration and accessibility, you will directly influence our growth and market leadership.

What You'll Be Doing in This Role:

Design, develop, and maintain ETL pipelines to support data ingestion, transformation, and delivery.
Implement and manage scalable data architectures to support analytics and reporting needs.
Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver optimal solutions.
Monitor, troubleshoot, and optimize data workflows to ensure reliability and performance.
Work with large-scale datasets using tools like Spark to ensure efficient processing.
Ensure data integrity and security by implementing best practices for data warehousing and compliance.
Document technical designs, processes, and operational workflows.

Qualifications of this Role:

3+ years of industry experience as a Data Engineer or in a similar role.
Strong proficiency in SQL and Python for data manipulation and automation.
Hands-on experience with Spark and distributed data processing.
Expertise in ETL development and working with data pipelines.
Solid knowledge of data warehousing, dimensional modeling concepts and design principles.
Experienced in working with cloud platforms (e.g., GCP, AWS, Azure).
Familiar with Palantir platform is a plus.
Excellent problem-solving skills and ability to work in a collaborative environment.
Bachelor's degree in computer science, Engineering, or a related field

The Way We Work:

Leader Led
Remote First
Foster Flexibility
Reward Performance
Time Off Matters

Company Mission 

J.D. Power is clear about what we do to ensure our success into the future. We unite industry leading data and insights with world-class technology to solve our clients’ toughest challenges.  

Our Values 

At J.D. Power, we strive to be Truth Finders, Change Makers and Team Driven - the distinct behaviors that, together, define our unique culture.  

J.D. Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

J.D. Power is an equal-opportunity employer and compliant with AODA/ADA legislation. Should you require accommodations during the recruitment and selection process, please reach out to tarecruitment@jdpa.com.

To all recruitment agencies: J.D. Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. 

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