About this role
The team is seeking a skilled Data Engineer to design and build scalable data infrastructure that meets the rapidly growing data needs of the organization. The ideal candidate will have a strong background in building applications for optimal extraction, cleaning, transformation, and loading of data from diverse sources and formats using the latest big data technologies.
Key Responsibilities:
- Design and implement scalable data infrastructure with a focus on efficiency, reliability, and consistency.
- Build and maintain ETL/ELT pipelines to facilitate data processing and integration.
- Work with various data infrastructure components, including Data Lakes, Data Warehouses, and BI/reporting/analytics tools.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Utilize cloud services for data storage, processing, and analytics.
Required Skills & Qualifications:
- Proficiency in big data technologies such as Hadoop, Spark, or similar frameworks.
- Experience with ETL/ELT tools and data integration processes.
- Strong programming skills in languages such as Python, Java, or Scala.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of database technologies (SQL and NoSQL).
Experience:
- Minimum of 5-8 years of relevant experience in data engineering or a similar role.
What we offer:
- Opportunity to work with cutting-edge technologies in a dynamic environment.
- Collaborative team culture that values innovation and professional growth.
- Access to ongoing training and development resources.
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.