About this role
The team is seeking an experienced and visionary Senior Data Engineer to lead enterprise-scale data engineering initiatives. This role involves driving the design, implementation, and modernization of cloud-native data platforms. The ideal candidate will have extensive experience in defining enterprise data architecture, leading high-performing engineering teams, and delivering scalable data solutions.
Key Responsibilities:
- Lead the design and development of data pipelines and data architecture.
- Collaborate with cross-functional teams to define data requirements and ensure data quality.
- Implement best practices for data governance and security across the organization.
- Mentor and guide junior data engineers, fostering a culture of continuous improvement.
- Evaluate and integrate new data technologies and tools to enhance data processing capabilities.
Required Skills & Qualifications:
- Proven experience in data engineering, with a strong background in cloud platforms such as AWS, Azure, or Google Cloud.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong knowledge of data modeling, ETL processes, and data warehousing concepts.
- Experience with big data technologies like Hadoop, Spark, or Kafka is a plus.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
Experience:
- 6-12 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work on cutting-edge data technologies in a dynamic environment.
- A collaborative and innovative workplace culture.
- Opportunities for professional growth and development.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.