Data Engineer

Welcome to Lear Corporation, a leading global supplier of automotive seating and electrical systems. We are seeking a talented and driven Data Engineer to join our dynamic team. As a Data Engineer at Lear, you will play a crucial role in designing, developing, and maintaining our data infrastructure to drive business insights and support decision making. If you have a strong passion for data and the technical skills to turn complex data into actionable intelligence, we would love to have you on board. Below are the qualifications we are looking for in our ideal candidate.

1. Design and develop data architecture: The Data Engineer will be responsible for designing and developing the data infrastructure for Lear Corporation. This includes creating data pipelines, data warehouses, and databases to support data storage and retrieval.
2. Ensure data quality and integrity: It is the responsibility of the Data Engineer to ensure the accuracy, completeness, and consistency of data stored in the company's systems. This involves performing data validation and implementing measures to improve data quality.
3. Collaborate with cross-functional teams: The Data Engineer will work closely with various teams, such as data analysts, data scientists, and business stakeholders, to understand data requirements and deliver solutions that meet business needs.
4. Develop data solutions: The Data Engineer will be responsible for building and maintaining data solutions that support business intelligence, data analytics, and reporting. This includes creating data models, dashboards, and visualizations to provide insights to stakeholders.
5. Identify and implement data best practices: The Data Engineer will stay up-to-date with the latest data technologies and industry best practices and implement them within the organization to improve efficiency and effectiveness.
6. Troubleshoot and resolve data issues: In case of any data-related issues, the Data Engineer will be responsible for troubleshooting and resolving them in a timely manner to minimize business disruptions.
7. Ensure data security and compliance: The Data Engineer will be responsible for implementing and enforcing data security and privacy policies to protect sensitive data and ensure compliance with data regulations.
8. Perform data analysis: The Data Engineer will be involved in data analysis to identify trends, patterns, and insights that can drive business decisions and improve operations.
9. Document data processes and procedures: The Data Engineer will document data processes and procedures to ensure transparency and facilitate knowledge sharing within the organization.
10. Continuously improve data infrastructure: The Data Engineer will continuously evaluate the data infrastructure and processes and identify opportunities for improvement to enhance data accessibility, reliability, and performance.

According to JobzMall, the average salary range for a Data Engineer in 919 42 Voderady, Slovakia is approximately €35,000 - €50,000 per year. However, this can vary depending on factors such as the specific industry, company size, and level of experience. It is always best to research the specific job market and company for more accurate salary information.

Lear Corp. engages in the design, manufacture, and supply of automotive seat, electrical distribution systems, and electronic modules, as well as related sub-systems, components, and software. It operates its business through two segments: Seating and Electrical.