Hadoop Cloudera Engineer

Job Title: Hadoop Cloudera Engineer Location : Irving, TX (Hybrid Onsite Role-3 Days Onsite Per Week) Duration : Fulltime Teams Meeting Interview Job Description: Skills : • Hadoop & Cloudera , Ecosystem (CDP/CDH, HDFS, YARN, MapReduce) • Spark & Data Processing(Spark Core, SQL, PySpark) • Version Control (Git) • ETL Pipeline Development &Optimization • Cloud & DevOps (CI/CD, Docker, Kubernetes, CDP (Cloud) • Big Data Tools (Hive,Impala, HBase) • Programming (Python / Scala / Shell) • Data Storage & File Formats (Parquet, Avro,ORC, JSON) • 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 scalabilityCollaborate with cross-functional teams (Data Engineers, DevOps, Business teams) • Stay updated with the latest advancements in AI/ML and GenAI ecosystem Certification • Cloudera Certified Associate (CCA) Data Analyst/ Cloudera Certified Professional (CCP) Data Engineer (highly preferred) Cloudera Certified Administrator (CCA Admin)