Hadoop Cloudera Engineer

Location

Irving, TX (Hybrid, 3 days onsite per week)

Full Time

• Hadoop & Cloudera, Ecosystem (CDP/CDH, HDFS, YARN, Map Reduce)
• Spark & Data Processing (Spark Core, SQL, PySpark)
• Version Control (Git)
• Programming (Python / Scala / Shell)
• Cluster Management & Performance Tuning
• Data Ingestion Tools (Sqoop, Flume, Kafka)
• Experience with real-time processing (Spark Streaming / Kafka)
• Knowledge of data governance and security frameworks
• Exposure to cloud platforms (Azure / AWS / GCP)
  · Basic understanding of data warehousing concepts

• Develop and maintain big data solutions using Cloudera Hadoop platform
• Design and implement scalable ETL pipelines for large datasets
• Work on data ingestion, processing, and transformation using Spark and Hadoop tools
• Optimize data workflows, query performance, and storage strategies
• Manage and maintain Hadoop clusters (Cloudera distribution)
• Work with structured and unstructured data across multiple sources
• Collaborate with Data Engineers, Analysts, and Business teams
• Implement data security, governance, and access controls
• Ensure system performance, reliability, and scalability; collaborate with cross‑functional teams (Data Engineers, Dev Ops, Business teams)
• Stay updated with the latest advancements in AI/ML and GenAI ecosystem

Certification