Job Title : Data Engineer Scala with Play OR Spark

Location : Hyderabad

Experience : 4 to 7 Years

Employment Type : Full-Time

About the Role :

We are looking for an exceptional Backend Engineer who thrives in solving complex challenges and building scalable, distributed, and high-performance systems. If you are passionate about functional programming, cloud-native platforms, and data-driven architectures, this is the opportunity for you to make an impact.

You will collaborate with cross-functional teams to design, develop, and optimize backend services that power large-scale platforms. The role demands hands-on expertise in Scala, Python, Kubernetes, and AWS, with a strong problem-solving mindset.

Key Responsibilities :

- Design and develop highly scalable backend systems using Scala (Spark / Play) and Python.

- Build and maintain data processing pipelines and distributed computing frameworks.

- Implement RESTful APIs and backend microservices to support business-critical applications.

- Work with Kubernetes and AWS (EKS, EMR, S3) to deploy, monitor, and scale applications.

- Collaborate with data engineers, architects, and DevOps teams to ensure system reliability and scalability.

- Write clean, efficient, and maintainable code following best practices (CI/CD, Git workflows, testing).

- Participate in design reviews, code reviews, and contribute to improving engineering standards.

Required Skills :

- Strong expertise in Scala (Spark / Play framework) with solid knowledge of functional programming principles.

- Proficiency in Python for backend and data workflows.

- Hands-on familiarity with Apache Spark for distributed data processing (deep expertise not mandatory).

- Strong experience with Kubernetes and AWS (EKS, EMR, S3).

- Solid understanding of distributed systems, microservices, and data architecture.

- Proven ability in building RESTful APIs using Scala, Python, or Java.

- Proficiency in Git, CI/CD pipelines, and automation tools.

- Excellent problem-solving and analytical skills.