Mid Data & Software Engineer

1. 1

   In this role, you will work on large-scale, cloud-native data pipelines, optimize distributed processing systems, and ensure the reliability and performance of petabyte-scale workloads.

2. 2

   You will operate within agile value stream teams, applying strong engineering practices and collaborating with global stakeholders to deliver high-quality, business-critical data solutions.

3. 3

   Design, develop, and maintain large-scale data pipelines using Scala, Spark, and cloud-native technologies, ensuring high performance, scalability, and reliability.

4. 4

   Solve complex data engineering challenges by designing efficient, resilient distributed systems and optimizing data processing workflows.

What we expect from you

5. 5

   Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

6. 6

   Solid experience in software or data engineering.

7. 7

   Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure), including services such as S3, Glue, Athena, or equivalent.

8. 8

   Strong understanding of distributed systems, resiliency patterns, data partitioning, and efficient data access strategies.