Job Description

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What we offer:

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At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

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Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities:

Key Responsibilities

Design and execute comprehensive test plans for real-time and batch data pipelines handling IoT, robotics, and operational telemetry. Validate data ingestion from

Kafka

and

Debezium

streams into

MongoDB

and

Databricks Delta Lake

. Perform data integrity checks on historical and live datasets related to forklift movement, robot actions, and plant sensor events. Develop automated data validation scripts using

SQL

,

Python

, or

PyTest

for regression and integration testing. Ensure consistency across visualizations in

Grafana

,

QuickSight

, and operational dashboards. Identify, document, and track data anomalies, schema mismatches, or pipeline failures. Validate schema changes across NoSQL and structured databases, ensuring compatibility with downstream systems. Work closely with Data Engineers, Site Reliability Engineers, and Manufacturing Ops to maintain high data quality standards. Support root cause analysis for incorrect metrics or delayed data pipelines in production.

Required Skills and Experience

Bachelor's degree in Computer Science, Data Engineering, Industrial Engineering, or related field. 2+ years of experience in data validation, QA, or analytics testing in a

manufacturing or IoT environment

. Strong skills in

SQL

and

Python

for data querying, transformation, and testing. Experience with data platforms like

MongoDB

and

Databricks

(Delta Tables, Notebooks). Familiarity with

Kafka

,

Debezium

, or other real-time data ingestion tools. Exposure to monitoring and visualization tools such as

Grafana

and

Amazon QuickSight

. Understanding of

manufacturing telemetry

,

machine-to-cloud data flow

, and industrial IoT standards.

Preferred Qualifications

Experience with

data test automation frameworks

(e.g., PyTest, Great Expectations). Familiarity with

CI/CD pipelines

and version-controlled test environments. Knowledge of time-series databases and streaming analytics. Understanding of

data governance

,

data contracts

, or

schema registry

practices.

Awareness, Unity, Empowerment:

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At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

Worker Type:

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Regular / Permanent

Group:

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Magna Corporate