Big Data Developer

🚀 Job Alert : Senior Big Data Engineer (5-8 Yrs) | Spark, Python, Scala 🚀

Are you a seasoned Big Data Engineer ready to build and optimize large-scale, distributed data processing applications? We are seeking a senior engineer with 5-8 years of experience in the core Big Data ecosystem to deliver high-performance solutions.

This is a great opportunity to join a high-impact team with a hybrid work model!

📍 Role Details & Compensation

Job Title : Senior Big Data Developer / Engineer

Experience : 5-8 Years

Compensation : Up to 20 LPA and above depends on interview

Location : Bangalore / Pune / Hyderabad

Work Mode : Hybrid (3 Days from Office)

Note : This role involves NO traveling.

Interview : Virtual

🎯 Key Responsibilities

Develop robust, scalable, and efficient data processing applications using Spark, Hadoop , and the surrounding ecosystem.

Focus on building data-driven applications, analytical tools, and backend services to facilitate secure data exchange.

Write and optimize MapReduce jobs and complex data transformation logic.

Implement machine learning models and analytics solutions in production.

Drive code optimization, debugging, and adhere to software development best practices.

🛠️ Must-Have Technical Expertise

Programming : Strong skills in Scala and Python programming languages.

Distributed Processing : Hands-on expertise with Apache Spark and Hadoop .

Tools : Direct experience with Databricks and Apache Airflow for orchestration.

CI / CD : Hands-on experience with any CI / CD tools, with Jenkins preferred.

Fundamentals : Strong knowledge of Data Structures & Algorithms and Application Development best practices.

Ready to build the next generation of Big Data platforms? Apply today!

Send your updated profile to : aman_sariyam@sourcebae.com

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