About this role
The team is seeking a Senior 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 company's data needs. You will work closely with data scientists and analysts to ensure data is accessible and usable for various applications.
Key Responsibilities:
- Design and implement robust data pipelines for data ingestion, transformation, and storage.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Optimize data models and queries for performance and scalability.
- Monitor and troubleshoot data pipeline performance and reliability.
- Ensure data quality and integrity through rigorous testing and validation processes.
- Stay updated with the latest data engineering trends and technologies to continuously improve data solutions.
Required Skills & Qualifications:
- Strong experience with data warehousing solutions and ETL processes.
- Proficiency in programming languages such as Python or Java.
- Experience with big data technologies like Hadoop, Spark, or Kafka.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of SQL and NoSQL databases.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- Minimum of 5 years of experience in data engineering or related fields.
What we offer:
- A collaborative and innovative work environment.
- Opportunities for professional growth and development.
- The chance to work on exciting projects with cutting-edge technologies.
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.