About this role
The team is seeking a Senior Data Engineer to join their innovative team focused on building the future of work with AI-driven solutions. In this role, you will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support the integration of various data sources into a unified platform.
Key Responsibilities:
- Design and implement scalable data processing systems and workflows.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Optimize data storage and retrieval processes for performance and efficiency.
- Ensure data quality and integrity through rigorous testing and validation.
- Develop and maintain documentation for data models, pipelines, and processes.
- Stay updated with the latest industry trends and technologies to enhance data engineering practices.
Required Skills & Qualifications:
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data warehousing solutions and ETL processes.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- Strong knowledge of SQL and database management systems.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- 5-8 years of experience in data engineering or a related field.
What we offer:
The team provides a dynamic work environment that fosters innovation and collaboration. You will have the opportunity to work with cutting-edge technologies and contribute to impactful projects that shape the future of work.
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.