Big Data Engineer (AWS + Scala Mandatory)

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

Job summary

Coforge in Hyderabad is seeking Big Data Engineers to design and develop large-scale data processing solutions using Spark and Scala on AWS. The role involves building robust ETL pipelines, handling batch and streaming data, and collaborating with cross-functional teams to deliver enterprise-grade data platforms.

Candidates with 4 to 10 years of experience and solid knowledge of SQL, AWS EMR, S3, Glue, Hive will be preferred. Nice-to-have skills include Kinesis and CloudFormation.

Qualifications

• 4–10 years of experience in Big Data engineering.
• Strong knowledge of Spark and Scala.
• Experience building data pipelines on AWS.

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

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.