Magna Hiring Data Engineers | Great Opportunity

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Company Name	Magna
Role	Data Engineer
Qualification	Bachelor’s Degree
Location	Bangalore
CTC	Upto 6 LPA*

About the Company

We see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people.

Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain.

Job Description

Design, build, and maintain scalable data pipelines and ETL processes using Databricks to collect, transform, and load data from various sources into our data warehouse.
Collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and implement solutions to meet their needs using Databricks.
Prepare data for the advanced analysis e.g. ML modeling
Optimize and tune data pipelines and ETL processes in Databricks for performance and efficiency.
Develop and maintain data models, schemas, and data dictionaries in Databricks.
Implement data quality checks and monitoring in Databricks to ensure data accuracy and integrity.
Troubleshoot and resolve data-related issues and incidents in Databricks.
Stay up-to-date with the latest trends and technologies in data engineering, specifically related to Databricks, and recommend improvements to our data infrastructure and systems

Qualifications Required

Bachelor’s degree in Computer Science, Engineering, or a related field.
Proven experience as a Data Engineer or similar role, with expertise in Databricks.
Technical expertise with data models, data mining, and segmentation techniques
Strong programming skills in languages such as Python.
Experience with big data technologies such as Hadoop, Spark, or Kafka.
Proficiency in SQL and database technologies (e.g., MySQL, PostgreSQL, or Oracle).
Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and their data services.
Knowledge of data warehousing concepts and dimensional modeling.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Data engineering certification (Databricks Data Engineer Associate) is a plus