Supply Chain Specialist

Zs Associates; Toronto; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

An innovative management consulting firm is seeking a skilled Data Engineer to join their dynamic team. In this role, you will be responsible for building and optimizing data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver impactful solutions. This is an exciting opportunity to work in a flexible environment that values diversity and encourages professional growth. If you are passionate about data engineering and eager to make a difference, this position offers a chance to thrive in a collaborative culture while driving meaningful change for clients worldwide.

Benefits

Health and Well-being Benefits

Financial Planning

Annual Leave

Professional Development

Flexible Work Options

Collaborative Culture

Qualifications

• 3+ years of experience in data engineering with a focus on scalable systems.
• Proficiency in programming languages such as Python and experience with big data technologies.

Responsibilities

• Build and optimize data pipelines for ETL processes.
• Collaborate with clients to understand data requirements and implement solutions.

Skills

Data Engineering

Python

ETL Processes

Data Integration

Data Quality Checks

Communication Skills

Education

Bachelor's in Computer Science

Master's in Data Engineering

Tools

Hadoop

Spark

Kafka

AWS

Azure

Talend

Informatica

Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.

Our most valuable asset is our people.

At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and

make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

What You’ll Do:

• Build, Orchestrate and optimize data pipelines to extract, transform, and load (ETL) data from various sources/tools into the organization's data warehouse or data lake.
• Integrate data from diverse sources such as databases, APIs, streaming platforms, planning tools, supply chain management systems and file systems into cohesive data pipelines
• Implement data integration solutions that support real-time, batch, and incremental data processing.
• Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data.
• Develop monitoring and alerting mechanisms to identify and address data quality issues proactively.
• Optimize ETL (Extract, Transform, Load) processes for efficiency, reliability, and data quality.
• Implement and manage data storage solutions, including relational databases, NoSQL databases, and distributed file systems.
• Manage the infrastructure and resources required to support data engineering workflows, including compute clusters, storage systems, and data processing frameworks
• Write production-ready, testable code that adheres to engineering best practices and accounts for edge cases and error handling.
• Ensure high-quality deliverables through code reviews, design reviews, and adherence to architectural guidelines.
• Develop comprehensive unit tests and integration tests to validate data pipeline functionality and data integrity.
• Stay up to date with the latest data engineering tools, technologies, and methodologies, and evaluate their applicability to the team's needs.
• Provide technical guidance and mentorship to junior engineers on the team.
• Collaborate with clients, data scientists, business analysts, and other stakeholders to understand data requirements and translate them into robust engineering solutions.
• Work closely with other engineering teams to integrate data solutions seamlessly into the overall technology ecosystem.
• Participate actively in agile ceremonies, communicate progress, and manage dependencies effectively.

What You’ll Bring:

• 3+ years of experience in a data engineering role, with a focus on building scalable, reliable, and high-performance Supply Chain/Manufacturing focused data systems.
• Experience in SC or Manufacturing systems and data such as SAP, MES, LIMS, OMP, Kinaxis, Anaplan etc. will be preferred
• Ability to connect with clients to understand requirements and discuss solution options.
• A relevant bachelor's or master's degree in computer science, Data Engineering, or a related technical field
• Proficiency in programming languages such as Python, etc.
• Extensive experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud-based data platforms (e.g., AWS, GCP, Azure).
• Expertise in data integration and ETL tools (e.g., Talend, Informatica, Apache NiFi).
• Proven track record of designing and implementing data pipelines, data storage solutions, and data processing workflows.
• Hands-on experience with distributed computing frameworks and cloud-based data services.
• Demonstrated ability to collaborate with cross-functional teams and communicate technical solutions effectively.
• Ability to travel to other offices or client locations as needed.
• Strong communication skills

Additional Skills:

• Familiarity with CI/CD pipelines, code versioning and application monitoring practices.
• Certifications in data engineering (e.g., Azure Data Engineer, AWS Certified Data Engineer) are a plus
• Strong understanding of data modeling, data warehousing, and data lake concepts and best practices.

Perks & Benefits:

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To Complete Your Application:

Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:

www.zs.com