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Hiring Scala engineers isn’t just about checking off tech skills. You need someone who knows their way around distributed systems and fits your team’s workflow, culture, and project dynamics.
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Scala has become a go-to language for data engineering. It blends object-oriented flexibility with functional capabilities, making it ideal for scalable, high-performance data pipelines.
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Some say Scala’s past its prime. That it lost to Kotlin. That Python dominates the big data domain, and Go took the backend.
And yet—look what stands behind high-performance data platforms, financial systems, and distributed apps. Scala’s still right there.
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Back in the early 2000s, Martin Odersky—who had already contributed to Java’s generics—wanted to create something to address the shortcomings of Java. So he built Scala.
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Consider ETL implementation? Then you’re probably thinking about cost—understandably!
In our experience, smaller and mid-sized firms usually budget between $20,000 and $100,000 annually for cloud-based, fully managed ETL solutions.
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