Apply for Big Data Engineer Job

5+ Years Relevant Experience

Key Responsibilities:

• Develop scalable and efficient data-driven applications using Hadoop, Spark, Hive, Impala, and NiFi in an on-premises environment.
• Design and implement high-performance Spark jobs using Java.
• Build data pipelines and compute tiers leveraging Hadoop, Spark, and Impala.
• Review and enhance code quality for Hadoop and Spark-based batch jobs.
• Collaborate with cross-functional teams to deliver robust software solutions that meet business needs.
• Mentor junior engineers and serve as a technical point of contact for Hadoop ecosystem technologies.
• Evaluate and recommend new tools and technologies to improve performance, scalability, and system reliability.
• Ensure solutions follow best practices, are maintainable, scalable, and performance-optimized.

Required Skills:

• Strong Java development experience, especially within the context of SpringBoot.
• Experience in full stack software development with a data-intensive focus.
• Expertise in big data technologies such as Hadoop, NiFi, Hive, Impala, and Spark.
• Deep understanding of SQL (preferably Oracle).
• Solid knowledge of object-oriented programming (OOP) principles.
• Familiarity with Hadoop internals is a strong plus.
• Strong analytical and problem-solving skills.
• Excellent communication skills—both verbal and written.
• Ability to mentor junior developers and lead technical improvements.