What are the responsibilities and job description for the Mid Level Data Engineer / databricks / South Jersey position at Motion Recruitment?
Our client is seeking a skilled Mid-Level Data Engineer to join their team at a company specializing in the sale and repair of industrial electrical and electronic equipment, located in Willingboro, New Jersey. In this role, you will be responsible for building and optimizing data pipelines to support critical business operations. You will work extensively with Databricks, leveraging Python and SQL to process and transform large datasets efficiently. Experience with Azure Data Factory is a plus, as you will be working in a cloud-based environment to enhance data workflows and improve system scalability. This is a hands-on role where you will collaborate with data scientists, analysts, and other stakeholders to ensure high-quality data solutions that drive business insights.
This position requires onsite work four days a week, providing an opportunity to work closely with a dynamic team in an innovative industrial environment. As a key contributor, you will play a crucial role in optimizing data infrastructure, ensuring data integrity, and supporting ongoing analytics initiatives. This role offers a competitive salary, comprehensive benefits, and career growth opportunities within a company committed to leveraging data to improve operational efficiency and decision-making. If you have a passion for data engineering and want to make an impact in a fast-paced industrial setting, we encourage you to apply.
Required Skills And Experience
This position requires onsite work four days a week, providing an opportunity to work closely with a dynamic team in an innovative industrial environment. As a key contributor, you will play a crucial role in optimizing data infrastructure, ensuring data integrity, and supporting ongoing analytics initiatives. This role offers a competitive salary, comprehensive benefits, and career growth opportunities within a company committed to leveraging data to improve operational efficiency and decision-making. If you have a passion for data engineering and want to make an impact in a fast-paced industrial setting, we encourage you to apply.
Required Skills And Experience
- Experience in building and optimizing data pipelines.
- Extensive hands-on experience with Databricks.
- Strong proficiency in Python and SQL for data processing and transformation.
- Familiarity with cloud-based data platforms, preferably Azure.
- Experience with Azure Data Factory is a plus.
- Ability to work with large-scale datasets and ensure data quality and efficiency.
- Strong problem-solving skills and the ability to collaborate with cross-functional teams.
- Designing, developing, and maintaining scalable data pipelines to support business needs.
- Working extensively with Databricks to process and analyze large datasets.
- Writing efficient Python and SQL scripts for data extraction, transformation, and loading (ETL).
- Optimizing data workflows and ensuring data integrity across various sources.
- Collaborating with data scientists, analysts, and stakeholders to deliver high-quality data solutions.
- Implementing best practices for data engineering and cloud-based data management.
- Competitive salary based on experience.
- Comprehensive benefits package, including health insurance, retirement plans, and paid time off.
- Opportunities for career growth and professional development.
- A collaborative and innovative work environment with cutting-edge technology.
- Flexible work arrangements, including remote work options.
