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Senior Java Spark Engineer Jobs

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Senior Java -Spark-Bigdata Engineer-Assistant Vice President
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Senior Java, Spark, and Big Data Engineer – Assistant Vice President in Pune, India. Leverage 7-10 years of experience to design scalable data pipelines using Java, Python, and PySpark. Drive high-performance solutions within the Big Data ecosystem, ensuring security and scalability. Lead complex...
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India , Pune
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Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice

About the Senior Java Spark Engineer role

Discover and apply for Senior Java Spark Engineer jobs, a pivotal role at the intersection of high-performance software engineering and large-scale data processing. Professionals in this senior-level position are responsible for designing, building, and maintaining robust, scalable applications and data pipelines that power analytics and business intelligence. They leverage the combined power of Java's enterprise stability and Apache Spark's distributed computing prowess to solve complex data challenges, turning massive volumes of information into actionable insights.

A Senior Java Spark Engineer typically shoulders a wide array of responsibilities. Central to the role is the full lifecycle development of big data applications, from system analysis and architectural design to coding, testing, debugging, and deployment. They develop and optimize Spark applications using Java or Scala, ensuring efficient data processing and ETL workflows. These engineers are key players in establishing coding standards, conducting code reviews, and mentoring mid-level developers. They partner with cross-functional teams, including data scientists and business analysts, to understand requirements, identify necessary system enhancements, and deploy new products or process improvements. A critical aspect of the job is ensuring application design adheres to overarching architectural blueprints and integrates seamlessly with existing business and infrastructure components.

The typical skill set for these roles is extensive and demanding. A deep, advanced knowledge of core Java and the Apache Spark ecosystem (Spark SQL, DataFrames, Streaming) is fundamental. Experience with big data technologies like Hadoop, HDFS, and YARN is common, as is proficiency in building and managing data pipelines. Strong software engineering principles, system analysis capabilities, and a firm grasp of distributed systems concepts are essential. Beyond technical prowess, successful candidates demonstrate leadership and project management skills, often guiding projects from conception to delivery. They exhibit excellent problem-solving abilities, using interpretive thinking to diagnose high-impact issues and develop innovative solutions. Clear communication and the capacity to explain complex technical concepts to non-technical stakeholders are highly valued traits for these senior jobs.

For those seeking Senior Java Spark Engineer jobs, the profession offers the opportunity to be a technical leader and subject matter expert in a high-demand field. It involves continuous learning and adaptation to new technologies within the fast-evolving data landscape, making it a dynamic and rewarding career path for seasoned engineers passionate about data-driven innovation.

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