- Location
- Hyderabad, Telangana, India
- Job type
- Full-time
Required skills
- Airflow
- AWS
- Apache
- Apache Spark
- Azure
- backend
- data lake
- ETL
- GCP
- Kafka
- Spark
About the role
Revrr Technologies pvt ltd
Website:
revrr.ai
Job details:
We are hiring a Scala Spark Engineer to design and build high-performance data processing systems at scale.
Responsibilities
- Develop and optimise distributed data pipelines using Apache Spark and Scala.
- Work with large-scale datasets on cloud platforms like AWS, Azure, or GCP.
- Write clean, efficient, and production-grade Scala code for batch and real-time processing.
- Design data architectures, ETL workflows, and data lake/warehouse integrations.
- Tune Spark jobs for performance, scalability, and cost efficiency.
- Collaborate with data scientists, analysts, and backend engineers to deliver data-driven solutions.
- Ensure data quality, reliability, and monitoring across pipelines.
Requirements
- Experience with tools like Kafka, Airflow, or Delta Lake is a strong plus.
- 3+ years of experience in big data engineering with strong expertise in Scala and Spark.
This job was posted by Mahendar Reddy from Revrr Technologies.
Click on Apply to know more.
This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.