Want to hire Cloudera developer? Then you should know!
How and where is Cloudera used?
- Real-time Data Processing: Analyzing data as it’s generated
- Data Warehousing: Storing and managing large volumes of data
- Data Discovery: Exploring and visualizing data insights
- Machine Learning: Implementing predictive analytics
- Data Security: Ensuring data protection and compliance
- IoT Analytics: Handling data from connected devices
- Customer Analytics: Understanding customer behavior
- Fraud Detection: Identifying and preventing fraudulent activities
- Risk Management: Assessing and mitigating risks
- Supply Chain Optimization: Streamlining supply chain operations
Compare Junior, Middle, Senior, and Expert/Team Lead Cloudera Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 1-3 years |
| $70,000 |
Middle | 3-5 years |
| $90,000 |
Senior | 5-8 years |
| $110,000 |
Expert/Team Lead | 8+ years |
| $130,000 |
Quick Facts about Cloudera.
- Cloudera software development began in 2008.
- Hadoop is the most popular project type utilizing Cloudera.
- The entry threshold for Cloudera technology is moderate.
- Apache Spark is a highly related and popular technology.
- Did you know? Cloudera’s name is a combination of cluster and era!
TOP Cloudera Related Technologies
- Apache Hadoop
- Apache Spark
- Apache Kafka
- Apache Hive
What are top Cloudera instruments and tools?
- Cloudera Data Science Workbench: Data science platform by Cloudera
- Cloudera Director: Manages deployment of Cloudera Enterprise
- Cloudera Altus: Cloud-based data engineering service
- Cloudera Navigator: Data management and security tool
- Cloudera Manager: Manages and monitors Cloudera clusters
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Maria Lapko
Global Partnership Manager