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Magna International
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Test Engineer, Data

Test Engineer, Data

Magna International

2 - 5 years

7 - 8 Lacs

Bengaluru

Posted:2 months ago| Platform:

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Skills Required

Computer science data privacy Data quality Operations Analytics Monitoring Automotive Downstream Robotics SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

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What we offer:

Group Summary:

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.

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Test Engineer, Data