Big Data Engineer

Location: Phoenix, AZ 85054
Contract Duration: Long Term
Experience Required: 5 8 Years

We are seeking an experienced Big Data Engineer with strong expertise in Big Data technologies, Spark, and Kafka. The ideal candidate will be responsible for designing scalable ETL pipelines, optimizing data models, and developing high-performance data processing solutions for enterprise data platforms.

• Big Data
• Apache Spark
• Apache Kafka

• Grafana

• Design and implement robust, automated ETL processes to move data from source systems to target data warehouses
• Develop and optimize complex SQL queries and stored procedures
• Perform data modeling and performance tuning for large-scale data environments
• Build scalable Spark-based data processing pipelines
• Work with Kafka for real-time data streaming and distributed processing
• Collaborate with cross-functional teams to support data integration and analytics initiatives
• Monitor and troubleshoot data processing and performance issues

• 5 8 years of experience in Big Data and Data Engineering
• Strong hands-on expertise with:
  • Spark
  • Kafka
  • SQL
  • ETL Development
• Experience with data warehousing and large-scale distributed systems
• Strong analytical, debugging, and problem-solving skills

1. Design and implement scalable ETL and data processing solutions
2. Write complex SQL queries, stored procedures, and optimize data models
3. Build and maintain Spark and Kafka-based data pipelines