Design and execute test plans for data pipelines, validate data ingestion, develop automated scripts, and ensure data quality. Collaborate with engineers to maintain standards and perform root cause analysis for data issues.
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What we offer:
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:
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:
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:
Regular / Permanent
Group:
Magna Corporate
What we offer:
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:
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:
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:
Regular / Permanent
Group:
Magna Corporate
Top Skills
Amazon Quicksight
Databricks
Debezium
Grafana
Kafka
MongoDB
Pytest
Python
SQL
Magna International Pune, Mahārāshtra, IND Office
Magna International Pune, Maharashtra, India Office
Pune, Maharashtra, India
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