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Spark & Scala Developer with AWS Kubernetes (5-20 years) @ Infosys

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 Spark & Scala Developer with AWS Kubernetes (5-20 years)

Job Description

We are seeking an experienced Spark & Scala Developer with strong expertise in big data processing, functional programming, and cloud-native deployments using AWS Kubernetes.

The ideal candidate will design and develop scalable data pipelines and distributed applications, ensuring high performance and reliability in cloud environments.


Key Responsibilities:

  • Develop and maintain data processing pipelines using Apache Spark and Scala.
  • Apply functional programming principles for clean and efficient code.
  • Deploy and manage Spark applications on AWS EKS/Kubernetes clusters.
  • Optimize Spark jobs for performance, cost efficiency, and scalability.
  • Collaborate with data engineers, cloud architects, and DevOps teams to deliver robust solutions.
  • Implement CI/CD pipelines for Spark applications and containerized deployments.
  • Ensure security, monitoring, and logging for cloud-based Spark workloads.

Required Skills:

  • Strong proficiency in Scala and functional programming concepts.
  • Hands-on experience with Apache Spark (Core, SQL, Streaming).
  • Expertise in AWS services (EKS, S3, EMR, IAM) and Kubernetes orchestration.
  • Knowledge of Docker, Helm charts, and containerization best practices.
  • Familiarity with CI/CD tools (Jenkins, GitHub Actions) and infrastructure as code (Terraform).

Preferred Skills:

  • Experience with Akka, Play Framework, or reactive programming.
  • Knowledge of Kafka, Airflow, or other orchestration tools.
  • Exposure to Databricks and Delta Lake.

EXPERIENCE: 5-20 YEARS


LOCATION: BANGALORE

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Infosys
Location(s): Hyderabad

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Keyskills:   SCALA Spark Kubernetes AWS

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