Location: Bangalore
Employment Type: Full\-Time
Experience Required: 10\+ Years
We are looking for highly experienced **Spark experts** with deep expertise in **Spark internals and advanced Python programming skills** . This is a senior engineering role for professionals who have built and optimized large\-scale distributed data processing systems and can work hands\-on with complex Spark architectures and performance tuning.
This is an urgent hiring requirement.
Design, develop, and optimize **large\-scale distributed data processing applications using Apache Spark**
Work extensively on **Spark internals, execution engine optimization, memory management, partitioning, and performance tuning**
Develop scalable and production\-grade data pipelines using **Python and Spark**
Analyze and resolve performance bottlenecks in distributed systems
Collaborate with engineering and **architecture teams to build high\-performance data platforms**
Review, refactor, and improve existing Spark codebases for scalability and efficiency
Drive best practices around **distributed computing, coding standards, and system reliability**
10\+ years of overall software engineering experience
Expert\-level knowledge of Apache Spark internals
Strong hands\-on expertise in PySpark and advanced Python programming
Deep understanding of **distributed systems and big data processing**
Strong experience with **Spark optimization, DAG execution, shuffling, caching, serialization, and cluster tuning**
Experience working with **large\-scale data processing environments**
Excellent communication and collaboration abilities
Candidates must be willing to share previously written Spark code for technical evaluation and review as part of the assessment process.
Experience with **Hadoop ecosystem and cloud platforms**
Exposure to **distributed computing frameworks and data engineering best practices**
Prior experience in **performance\-critical data platforms** is highly preferred
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