Hiring Alert – Hadoop Spark SparkSQL – Scala Developer

Position: Hadoop / Spark / SparkSQL – Scala Developer

Experience: 5–8 Years

Locations: Chennai | Bangalore | Pune | Mumbai

Budget: Up to ₹20 LPA

Notice Period: 0–30 Days

Employment Type: Full-Time

Role Overview

We are looking for an experienced Big Data Developer with strong hands-on expertise in Hadoop, Apache Spark, SparkSQL and Scala. The ideal candidate should have experience building scalable data processing solutions and working with large datasets in enterprise environments.

Key Responsibilities:-

Develop and maintain Spark-based data processing applications using Scala.

Work with Hadoop ecosystem and large-scale distributed datasets.

Develop and optimize SparkSQL queries for data processing and analysis.

Build scalable ETL/data pipelines for high-volume data.

Optimize Spark jobs for performance, scalability and reliability.

Troubleshoot and resolve data processing and application issues.





Integrate data from multiple sources into enterprise data platforms.

Collaborate with data engineers, architects and business teams.

Follow coding, testing and deployment best practices.

Required Skills:-

5–8 years of experience in Big Data / Data Engineering.

Strong hands-on experience with Apache Spark.

Strong knowledge of Hadoop ecosystem.

Robust expertise in SparkSQL.

Proficiency in Scala programming.

Experience in developing ETL/data pipelines.

Strong understanding of distributed data processing and performance optimization.

Excellent troubleshooting and problem-solving skills.

Candidates with 0–30 days notice period preferred.

Interested candidates can share their updated resume for immediate consideration at [email protected]

Pay: Up to ₹2,000,000.00 per year

Work Location: In person

📌 Hadoop SparkSQL- Scala Developer (Chennai)
🏢 Snehal
📍 Chennai