Java + Big Data (SPARK)

• As a Data Engineer, 

• Working closely with universal analysts, platform engineers and data scientists, you’ll carry out data engineering tasks to build a scalable data architecture, including data extractions and data transformation.

• Building automated data engineering pipelines

• Delivering streaming data ingestion and transformation solutions

• Participating in the data engineering community to deliver opportunities to support the bank's strategic direction.

• Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions. 

Mandatory Skills:  

• Require 3 - 5 years of experience on Java, Spring Framework, Spring Boot

• Deep expertise and hands on programing experience in Core Java (Java 8+).

• Hands-on experience with at least 2 years in Spark using Java.

• Should have experience in RESTful API, 

• Experience in creating & executing unit tests and follow test driven approach with JUnit or any other equivalent frameworks.

• Experience of working on Azure Cloud Services like  Azure Kubernetes Service

• Good to have Experience of Spark Streaming, Kafka and data modelling capabilities. 

Required Skills:  

• Responsible for technical deliverables and handle L3 technical support.

• Having experience in RDBMS like PostgreSQL is added advantage.

• Good knowledge of container technologies such as Docker and Kubernetes

• Good experience on Maven, Jenkins and building CI/CD pipelines and must follow IT craftsmanship principles.

• Would be great if worked on Agile or Continuous Delivery (CD) based projects before.

• Good interpersonal skills and should be able to mentor team on BAU activities.

• Good to have exposure to Investment banking domain.

• Resourcefulness and troubleshooting aptitude combined with good communication skills.