Senior Data Engineer - Data & Analytics

Are you passionate about using data and analytics to drive business insights and decisions? Do you have a strong background in data engineering and a knack for solving complex problems? If so, we have an exciting opportunity for you at Unilever as a Senior Data Engineer for our Data & Analytics team.In this role, you will play a critical role in designing and building data pipelines, creating data models, and optimizing data infrastructure to support our growing data and analytics needs. You will work closely with cross-functional teams to identify and implement data solutions that enable data-driven decision making across the organization.To be successful in this role, you will need a deep understanding of data engineering principles, experience with big data technologies, and a strong business acumen. You should also be a natural problem solver, able to think critically and creatively to find innovative solutions.If you are looking for a challenging and rewarding opportunity to make a significant impact in a global organization, we would love to hear from you. Join our team at Unilever and be a part of our mission to create a better future through data-driven insights.

1. Design and build data pipelines to ingest and transform large volumes of data from various sources.
2. Create data models to support business requirements and optimize data storage for efficient data retrieval.
3. Collaborate with cross-functional teams to identify data needs and implement solutions that enable data-driven decision making.
4. Utilize big data technologies to store, process, and analyze large datasets.
5. Develop and maintain data infrastructure to support the organization's growing data and analytics needs.
6. Troubleshoot and debug data-related issues to ensure data accuracy and integrity.
7. Stay up-to-date with industry trends and best practices in data engineering and analytics.
8. Communicate complex technical concepts to non-technical stakeholders.
9. Provide guidance and mentorship to junior data engineers.
10. Identify opportunities for process improvement and optimization within the data engineering function.
11. Collaborate with data scientists and analysts to understand data requirements and ensure data availability.
12. Develop and maintain documentation of data pipelines, models, and processes.
13. Ensure compliance with data privacy and security regulations.
14. Drive continuous improvement in data quality and data governance.
15. Act as a subject matter expert in data engineering and provide guidance to other teams within the organization.

According to JobzMall, the average salary range for a Senior Data Engineer - Data & Analytics in Englewood, NJ 07632, USA is $120,000 - $150,000 per year. However, this can vary depending on factors such as experience, education, and specific job responsibilities. Some companies may offer higher salaries for this role, while others may offer lower salaries. It is important to research the specific company and their salary ranges when considering a job as a Senior Data Engineer - Data & Analytics.

Unilever NV engages in the production and marketing of consumer goods in the nutrition, hygiene, and personal care categories. It operates through the following segments: Personal Care, Foods, Refreshment and Home Care.