Spark Scala Developer

V2 Solutions; Hyderabad; On-site; INR 1,200,000 - 2,600,000; Full time

Job summary

V2 Solutions in Hyderabad, India seeks a Spark Scala Developer with 5–9 years of experience to design and build scalable big data processing applications using Apache Spark, Scala, and distributed pipelines.

You will optimize Spark jobs, develop ETL/ELT pipelines, ingest data from databases, files, and APIs, and collaborate with data engineers and scientists to ensure reliability and performance in production.

This full-time role is based in Hyderabad on-site with growth opportunities.

Qualifications

• Big data processing experience with Spark and Scala
• Proficient in building scalable data pipelines
• Experience in batch and real-time processing
• Ingest data from RDBMS, NoSQL, APIs and file systems

Responsibilities

• Design and build scalable big data processing applications
• Develop pipelines using Apache Spark (Scala)
• Optimize Spark jobs for performance and resource usage
• Collaborate with data engineers and data scientists
• Ensure reliability and data quality in pipelines
• Monitor and debug pipelines and Spark jobs

Skills

Spark

Scala

Big Data

Data Processing

ETL/ELT

Education

Bachelor of Engineering

BTech

BCA

BSc

MTech

MCA

MSc

Tools

Spark Core

Spark SQL

Spark Streaming

HDFS

S3

Job description

# Spark Scala DeveloperPosted on September 8, 2026Experience5 - 9 yrsJob LocationHyderabad, IndiaDesignationSpark Scala Developer## Job DescriptionEducational Requirements* Bachelor of Engineering* BTech* BCA* BSc* MTech* MCA* MScService LineData Analytics UnitResponsibilities* Design and build scalable big data processing applications.* Strong experience in Apache Spark, Scala, and distributed data processing; work on building high-performance data pipelines for analytics and data engineering use cases.* Develop and maintain data pipelines using Apache Spark (Scala).* Process large-scale datasets in distributed environments.* Implement batch and real-time data processing solutions.* Write efficient and scalable code using Scala.* Work extensively with Spark Core, Spark SQL, and Spark Streaming.* Optimize Spark jobs for performance and resource utilization.* Ingest data from various sources: Databases (RDBMS, NoSQL), APIs, File systems (HDFS, S3).* Build ETL/ELT pipelines and data transformation workflows.* Tune Spark applications (partitioning, caching, memory tuning).* Optimize queries using Spark SQL.* Improve job execution time and reduce resource consumption.* Work with data engineers, data scientists, and business analysts.* Translate business requirements into scalable data solutions.* Participate in code reviews and architecture discussions.* Monitor data pipelines and Spark jobs.* Debug job failures and performance bottlenecks.* Ensure reliability and data quality in pipelines.Technical and Professional Requirements* Primary skills: Big Data - Data Processing - Spark; Functional Programming - Scala.Preferred Skills* Functional Programming - Scala* Big Data - Data Processing - SparkLocation not specified- Spark Scala Developer Jobs