AWS - Scala Data Engineer

Coforge; Hyderabad, Pune District, Greater Noida; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Cforge is seeking Big Data Engineers to design and develop scalable data platforms on AWS using Spark and Scala. The role focuses on building ETL pipelines, handling batch and streaming data, and optimizing workloads for performance and reliability.

Ideal candidates have 4–10 years of Big Data experience, strong SQL skills, and hands-on AWS data services expertise. The position is Hyderabad, Pune, and Greater Noida based.

Qualifications

• 4 to 10 years of experience in Big Data engineering or related field.
• Hands-on experience with Spark and Scala on AWS cloud
• Strong SQL skills and data modelling capabilities.

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

Spark

Scala

SQL

AWS EMR

AWS S3

AWS Glue

Hive

Tools

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.