Hadoop Cloudera Engineer
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Role details
Tech stack
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Job description
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, DevOps, Business teams)
Requirements
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, Cloudera Certified Associate (CCA) Data Analyst/ Cloudera Certified Professional (CCP) Data Engineer (highly preferred) Cloudera Certified Administrator (CCA Admin)
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