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, building, and maintaining scalable data pipelines and architectures that support the analytics and data science initiatives of the organization. You will work closely with cross-functional teams to ensure the integrity and availability of data.
Key Responsibilities:
- Design and implement robust data pipelines for data ingestion, transformation, and storage.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet their needs.
- Optimize data storage and retrieval processes for performance and efficiency.
- Ensure data quality and integrity through monitoring and validation processes.
- Lead and mentor a team of data engineers, providing guidance on best practices and technical solutions.
- Stay up-to-date with industry trends and emerging technologies in data engineering.
Required Skills & Qualifications:
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong experience with data warehousing solutions and ETL processes.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Solid understanding of database systems, both SQL and NoSQL.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- Minimum of 5-8 years of experience in data engineering or related fields, with a proven track record of successful project delivery.
What we offer:
- Opportunity to work in a collaborative and innovative environment.
- Access to cutting-edge technologies and tools.
- Professional development and career 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.