Expertise and knowledge:Cloudera Data Platform, Oozie, Hive, Spark, Spark Streaming and Presto
 

Data Pipeline Development:
 

• Design, develop, and implement scalable data pipelines using Cloudera tools like Hadoop, Spark, Hive, Impala, and HDFS.
   
• Write and optimize ETL processes to extract, transform, and load data into data lakes or warehouses.
   

Big Data Application Development:
 

• Develop applications to process large datasets efficiently using frameworks such as Apache Spark and MapReduce.
   
• Build solutions for batch and real-time data processing.
   

Cluster Management:
 

• Work with Cloudera Manager for cluster setup, configuration, monitoring, and performance optimization.
   
• Ensure high availability and scalability of Cloudera clusters.
   

• -??System dimensioning (computational resources/Storage/Networks).
   

  -??System reconfiguration in case of HW extension and/or replacement.
   

  -??OS and Cloudera Software upgrades.
   

  -??Cloudera SW vulnerabilities and patching management.
   

  -??Access and permission management.
   

  -??Installation of any other Cloudera application if needed.
   

Data Storage and Management:
 

• Design and implement data storage strategies using HDFS, HBase, and other Cloudera-supported tools.
   
• Optimize data storage and retrieval processes to improve performance.
   

Performance Tuning:
 

• Monitor and optimize the performance of Hadoop and Spark jobs.
   
• Troubleshoot and resolve performance bottlenecks in data pipelines.
   

• -??Assist in Designing scalable architectures for high volume data.
   

  -??Ensure E2E pipeline stability for already developed and future use cases.
   

  -??Performance tuning of Spark workflows.
   

Integration and Collaboration:
 

• Integrate Cloudera solutions with external systems, databases, and APIs.
   
• Collaborate with data scientists, analysts, and other teams to understand requirements and deliver data solutions.