Big Data Application Developer

📋 Description

• Design, develop, and operate large-scale data pipelines in Hadoop ecosystems.
• Build ingestion, transformation, and analytics workflows for enterprise apps.
• Develop high-performance Spark solutions with Scala, Python, or Java.
• Work with Hive, HDFS, Sqoop, and HBase in distributed platforms.
• Implement streaming data with Kafka, Spark Streaming, or Flink.
• Optimize processing via partitioning, replication, and fault tolerance.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years building and operating enterprise-scale data pipelines.
• Hands-on Spark experience in production with Scala, Python, or Java.
• Expertise with Hadoop ecosystem: Hive, HDFS, Sqoop, and HBase.
• Experience with streaming platforms: Kafka, Spark Streaming, or Flink.
• Strong SQL skills; relational and NoSQL databases.

🎁 Benefits

• Competitive annual salary range of $100,000–$150,000.
• Fully remote work opportunity within the United States.
• Full-time direct employment opportunity.
• Work on large-scale data engineering and analytics initiatives.
• Exposure to modern big data technologies and enterprise data platforms.
• Career growth opportunities within a technology-focused environment.