Key Responsibilities • Design and maintain Spark applications in Scala to process high-volume datasets efficiently.

- Build, tune and troubleshoot batch and streaming data pipelines, ensuring consistent performance at scale.
- Collaborate with data engineers, architects and product teams to deliver robust, production-ready data solutions within an agile delivery model.
- Support testing, deployment and operational readiness, applying CI/CD, version control and sound engineering practices.
- Produce explicit technical documentation and support knowledge transfer to permanent engineering teams.

Essential

Skills & Experience

- Proven hands-on development experience with Java, Apache Spark and Scala.
- Solid grasp of distributed data processing principles, pipeline design, and ETL/ELT methodologies, with a track record of performance optimization.
- Domain knowledge of Telecom OSS Network Monitoring and assurance • Exposure to big data platforms such as Hadoop, Cloudera, AWS or GCP is desirable.
- Working knowledge of Kafka, SQL, Python, Git and CI/CD tools (e.g. Jenkins) is advantageous.

📌 Senior Data Engineer (Spark & Scala) (Bengaluru)
🏢 Infoplus Technologies UK
📍 Bengaluru