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Java Spark Dev

Overture Rede

Role overview

Qualifications

  • 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

Responsibilities

  • 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)

About the company

Overture Rede logo

Overture Rede

Overture Rede is an (ISO 9001:2008), group of companies, focused on providing end to end Information & communication services & solution across the world. We believe in creating value for business & our clients through our quality services. Our commitment to deliver quality customer solutions has been the guiding factor in our development of a comprehensive menu of services. We strive to develop solutions that allow businesses to save time and money. We are dedicated to developing solutions that help alleviate the problems in IT Services, corporate training, competency assessments, staffing & payroll management for customer to focus on more pressing issues

Company details

Company typeTPE
Company size11 - 50

Links

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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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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