About this role
The team is seeking a Senior Data Engineer to join their team remotely. The ideal candidate will possess strong hands-on experience in Apache Spark, Scala, and Java, along with a solid understanding of microservices architecture. This role requires a self-starter who can design and implement scalable data pipelines and services in a distributed environment.
Key Responsibilities:
- Design, build, and optimize scalable data pipelines using Apache Spark.
- Develop and maintain data processing frameworks and architectures.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Implement best practices for data management and ensure data quality.
- Monitor and troubleshoot data workflows to ensure optimal performance.
Required Skills & Qualifications:
- Proficiency in Apache Spark, Scala, and Java.
- Strong understanding of microservices architecture and cloud technologies.
- Experience with data modeling and data warehousing concepts.
- Familiarity with SQL and NoSQL databases.
- Excellent problem-solving skills and ability to work independently.
Experience:
- Minimum of 5 years of relevant experience in data engineering or related fields.
What we offer:
- Opportunity to work in a dynamic and innovative environment.
- Flexible remote working arrangements.
- Collaborative team culture with opportunities for professional growth.
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.