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Java Spark Dev

Overture Rede

Roles & Responsibilities

  • Advanced Java proficiency with Spring Boot and microservices
  • Proficient in writing SQL queries
  • Extensive AWS data engineering experience (6+ years) with Glue, EMR, Lambda, SQS, SNS and real-time ingestion using Kinesis
  • Big data technologies exposure (Spark, Hadoop, Hive) and experience with NoSQL databases (DynamoDB, DocumentDB, MongoDB); programming in Scala/Java/Python

Requirements:

  • Build and maintain complex Data Platforms and Data Engineering solutions on AWS
  • Architect and develop data solutions on AWS using Spark, EMR, Hadoop, and Hive
  • Implement real-time data ingestion and processing using AWS Kinesis and related services (Glue, EMR, Lambda, SQS, SNS)
  • Develop Java-based applications and microservices (Spring Boot) and work with NoSQL databases (DynamoDB, DocumentDB, MongoDB)

Job description

This is a remote position.

Location - Hyderabad/Bangalore/Gurugram/Pune/Mumbai Work type: Remote but physical onboarding will be conducted & candidate needs to visit office in 3 to 6 month for conference


Key Points Must Have Advanced Java proficient- Microservices Spring boot Writing SQL Queries (proficient) AWS 4-5 Yrs in Java,
  Exp:2-3 exp
- Spark Good to have Unix Shell scripting JD
● Minimum of 8 years of experience in building complex Data Platforms and Data Engineering solutions.
● Minimum of 6 years of hands on experience in architecture and development of data solutions in AWS environment using AWS Services
● Experience with big data technologies such as: Spark, EMR, Hadoop, Hive,
● Experience programming with at least one modern language such as Scala, Java, Python
● Hands on experience on NoSQL DBs like DynamoDB, DocumentDB, MongoDB
● Hands on experience on implementing AWS Glue, EMR, Lambda functions, SQS, SNS,
● Experience on Real-time data ingestion and processing in AWS especially using services like AWS Kinesis ● AWS certification is preferred



Salary: 2400000
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