Overview
The Hadoop + GCP Developer plays a crucial role in designing, developing, and maintaining large-scale data processing systems using Hadoop and Google Cloud Platform (GCP) services. This role is essential for enabling efficient data processing and analysis, as well as optimizing the performance of data pipelines within the organization.
Key responsibilities
- Designing, developing, and maintaining Hadoop and GCP-based data processing solutions.
- Implementing and optimizing data ingestion, ETL processes, and data pipeline architectures.
- Collaborating with cross-functional teams to understand data requirements and develop scalable solutions.
- Utilizing Hadoop ecosystem technologies such as HDFS, MapReduce, and Spark for data processing and analysis.
- Developing and implementing data security and privacy measures within Hadoop and GCP environments.
- Monitoring and optimizing the performance of Hadoop clusters and GCP services for efficient data processing.
- Resolving technical issues, optimizing queries, and troubleshooting data processing workflows.
- Implementing best practices for data storage, retrieval, and visualization using Hadoop and GCP services.
- Collaborating with data scientists and analysts to support their data processing and analysis requirements.
- Developing and maintaining documentation for data processing workflows, configurations, and implementations.
- Staying updated with the latest developments in Hadoop, GCP, and big data technologies to propose and implement innovative solutions.
- Participating in the testing, deployment, and maintenance of data processing applications and systems.
- Conducting performance tuning and optimization of Hadoop and GCP components for efficient data processing and analysis.
- Providing technical guidance and support to junior team members for Hadoop and GCP-related development and maintenance tasks.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience in designing, implementing, and maintaining Hadoop-based data processing solutions.
- Hands-on experience with Google Cloud Platform (GCP) services for data processing and analysis.
- Proficiency in programming languages such as Java and Python for developing data processing applications.
- Strong understanding of big data concepts, distributed computing, and parallel data processing.
- Experience in optimizing and troubleshooting Hadoop clusters and GCP services for efficient data processing.
- Knowledge of Hadoop ecosystem components such as HDFS, MapReduce, Hive, and HBase.
- Experience in implementing data security and privacy measures within Hadoop and GCP environments.
- Familiarity with data visualization tools and techniques for presenting processed data insights.
- Excellent problem-solving abilities and analytical skills for resolving complex data processing challenges.
- Ability to work collaboratively in a cross-functional team environment and communicate effectively with stakeholders.
- Demonstrated experience in performance tuning and optimization of Hadoop and GCP components.
- Strong attention to detail and ability to document data processing workflows, configurations, and best practices.
- Professional certifications in Hadoop and GCP technologies will be an advantage.
- Proactive attitude towards learning and adopting new technologies in the big data domain.
Skills: hadoop,gcp,big data,java,python
