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Job Description

s a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure on the largest project in our organization. You will work closely with cross-functional teams to ensure the efficient and effective use of data across the organization. You are partly responsible for managing the systems used by After Sales, Marketing & Sales, Parts, and North American and European dealers. These applications are used inside and outside our company, mainly for commercial and operational processes and purposes. Failure of these systems often means that the business comes to a partial standstill.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Skills and Requirements

5+ years of experience in data engineering or a related field.

Proven experience in a senior data engineering role.

Expertise in SQL, including complex query development.

Hands-on experience with SQL Server databases.

Develop and manage ETL processes and SSIS packages for data integration and transformation.

Knowledge of APIs and data server management.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills. Experience with cloud platforms (e.g., AWS, Azure).

Knowledge of data warehousing concepts and tools.

Experience with data visualization tools (e.g., Tableau, Power BI).

Proficiency in Python coding. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].