About this role
The team is seeking a Lead Data Engineer to join their dynamic team. In this role, you will be responsible for designing and implementing robust data pipelines, ensuring data integrity, and optimizing data architecture to support business intelligence and analytics initiatives.
Key Responsibilities:
- Design and develop scalable data processing systems.
- Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
- Implement data governance and security best practices.
- Optimize and maintain existing data infrastructure for performance and reliability.
- Lead a team of data engineers, providing mentorship and guidance.
- Stay updated with industry trends and emerging technologies in data engineering.
Required Skills & Qualifications:
- Strong experience in data engineering with proficiency in SQL, Python, and ETL processes.
- Experience with cloud platforms such as AWS or Azure.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- Knowledge of data warehousing solutions and data modeling techniques.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
Experience:
- Minimum of 5-8 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work with a leading investment firm focused on technology and data.
- A collaborative and innovative work environment.
- Career growth and professional development 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.