Architect Big Data Scala

• Bachelors degree in Computer Science or Computer Engineering from an accredited university
• 10 years of relevant industry experience after completing education
• 5 years of Scala and Java application design and testing experience in the industry
• Strong working knowledge of Functional Programming paradigm and category theory in languages like Scala or Haskell
• Working experience with realtime Streaming and batch processing with Apache Spark and Apache Flink (Experience on one platform is also fine)
• Strong knowledge of distributed file systems memory management sharding and partitioning datasets/data frames
• Strong fundamentals in functional programming Objectoriented programming RESTful architectures Design Patterns Data Structures and algorithms
• Experience with Microservices Infrastructure management for Development; working on Docker Kubernetes Helm/Terraform
• Experience with Microsoft Azure and cloud services including exposure to PaaS services like service bus event hubs blob stores key vaults API managers Function Apps (serverless) and Azure Databricks
• Expertise in Scala is mandatory and Java is optional.
• Microservices implementation skills will be a plus
• Experience OAuth 2.0 (JWT) Swagger Postman Open API Specification
• Relational (SQL Server / Postgres); NoSQL (HBase) Delta Tables (Parquet and Avro formats)
• Big Data/Geospatial (HBase 2.1.6 (HDI 4.0 Geo mesa 3.0.0)
• Caching (Redis play caffeine or others)
• Experience working with cloud platforms services like Azure or AWS
• Good working knowledge of CI/CD environments (preferably Azure DevOps) Git or similar configuration management software; Build Automation (Maven)
• Knowledge of Testing Tools such as ScalaTest Junit and Mockito

• The digital platform will enable products that integrate with connected CNH Industrial tractors sprayers and combines and enable a wide range of farm management capabilities
• Leading a small team of software engineers and data engineers and also contributing individually to design develop and test data pipelines for data parsing enrichment and processing
• Generate rapid prototypes for feasibility testing
• Contribute to growing team members building a strong cohesive team; and providing guidance mentorship
• Help and guide the team in their daytoday tasks

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