About this role
The team is seeking a skilled Data Engineer to design, develop, and optimize data pipelines and systems using cutting-edge technologies. In this role, you will be responsible for building and maintaining scalable data pipelines with tools like Airflow. You will also develop big data solutions using Spark, Hadoop, and ETL processes.
Key Responsibilities:
- Build and maintain scalable data pipelines with tools like Airflow.
- Develop big data solutions using Spark, Hadoop, and ETL processes.
- Design data models and manage storage in Redshift, BigQuery, and cloud platforms (AWS, Azure).
- Write efficient Python, Java, and SQL code for data processing and automation.
- Collaborate with stakeholders to understand data requirements and deliver solutions that meet their needs.
Required Skills & Qualifications:
- Proficiency in Python, Java, and SQL.
- Experience with big data technologies such as Spark and Hadoop.
- Familiarity with data pipeline tools like Airflow.
- Knowledge of cloud platforms including AWS and Azure.
- Strong problem-solving skills and ability to work collaboratively.
Experience:
- Minimum of 5-8 years of experience in data engineering or a related field.
What we offer:
- Opportunities for professional growth and development.
- A dynamic work environment with a focus on innovation.
- The chance to work with cutting-edge technologies and tools.
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.