{"@context":"https://schema.org","@type":"JobPosting","title":"Scala Spark Engineer","description":"

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.

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