Scala Developer (AWS+ Scala)

Coforge; Hyderabad, Pune District, Greater Noida; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Coforge is hiring Big Data Engineers to design and build scalable data platforms using Spark, Scala and AWS in Hyderabad, Pune or Greater Noida. The role focuses on end-to-end data processing, ingestion pipelines and performance optimization.

We seek 4–10 years of hands-on experience with large-scale data solutions, strong SQL skills and experience on AWS data services. The position offers opportunities to work across enterprise-grade data projects.

Qualifications

• Hands-on experience with large-scale data processing
• Experience designing robust data pipelines and ETL processes
• Strong SQL skills and familiarity with AWS data services

Responsibilities

• Design and develop large-scale data processing solutions using Spark and Scala.
• Build robust ETL and data ingestion pipelines on AWS.
• Work with batch and streaming data processing frameworks.
• Optimize data workloads for performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver enterprise-grade data solutions.

Skills

ETL design

Data pipeline development

Big Data concepts

Tools

Spark

Scala

SQL

AWS EMR

AWS S3

AWS Glue

Hive

Job description

Coforge Hiring is Big Data Engineers || Spark, Scala & AWS | | 4 to 10 Years || Hyderabad, Pune & Greater Noida

We are looking for talented Big Data professionals who are passionate about building scalable data platforms and high-performance data processing solutions on AWS.

Job Location: Hyderabad, Pune & Greater Noida Only.

Skills: Spark, Scala, SQL, AWS EMR, AWS S3, AWS Glue, Hive.

Good to Have: Kinesis, Lake Formation, CloudFormation, API Gateway.

What You'll Do:

• Design and develop large-scale data processing solutions using Spark and Scala.
• Build robust ETL and data ingestion pipelines on AWS.
• Work with batch and streaming data processing frameworks.
• Optimize data workloads for performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver enterprise-grade data solutions.