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# Hadoop Cloudera Engineer

- **Company:** First Call Trading Corporation
- **Location:** Irving, TX, United States
- **Contract:** Permanent contract
- **Skills:** Query Performance, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloudera Impala, Computer Programming, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Security, Data Warehousing, DevOps, Apache Hadoop, Hadoop Distributed File System, MapReduce, Apache HBase, Apache Hive, JSON, Python (Programming Language), Performance Tuning, Cloudera, Simple Data Format, SQL Databases, Sqoop, Unstructured Data, Parquet, Data Processing, Data Storage Technologies, Real Time Systems, Data Ingestion, Apache Yarn, Apache Spark, Git, Pyspark, Apache Flume, Kubernetes, Avro, Apache Kafka, Spark Streaming, Data Management, Software Version Control, Docker
- **Published:** May 16, 2026
- **Apply:** https://www.disabledperson.com/jobs/72363223-hadoop-cloudera-engineer

## About the Role

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)

## 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)


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