About this role
The team is an AI-native technology and data engineering company focused on building modern data platforms and decision systems that help organizations turn complex data into actionable business outcomes. They are seeking a Senior Data Engineer to join their dynamic team.
In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and architectures. You will work closely with data scientists and analysts to ensure data is accessible and usable for analytical purposes.
Key Responsibilities:
- Design and implement data models and data architecture solutions.
- Build and maintain robust data pipelines to support various data processing needs.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Optimize data storage and retrieval processes for performance and efficiency.
- Ensure data quality and integrity through comprehensive testing and validation.
- Stay updated with the latest industry trends and technologies in data engineering.
Required Skills & Qualifications:
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data warehousing solutions and ETL processes.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
- Strong understanding of database management systems (SQL and NoSQL).
- Excellent problem-solving skills and attention to detail.
Experience:
- 5-8 years of experience in data engineering or a related field.
What we offer:
- Opportunity to work in a cutting-edge technology environment.
- Collaborative and innovative team culture.
- Professional development and growth opportunities.
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.