Cranium Information Technology
1 month ago
Job Summary :
We are looking for an experienced On-Premises Apache Spark Developer to join our team. The ideal candidate will have 6-8 years of experience in developing and managing large-scale data processing applications using Apache Spark in on-premises environments. You will play a critical role in optimizing and scaling our data infrastructure to support high-performance data processing and analytics.
Key Responsibilities :
1. Apache Spark Development :
- Design, develop, and maintain complex data processing applications using Apache Spark in an on- premises environment.
- Implement Spark jobs for batch and real-time data processing, ensuring efficient use of resources and scalability.
- Optimize Spark applications for performance, including tuning Spark jobs, managing resources, and debugging issues.
2. Data Integration & ETL :
- Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from various on- premises sources.
- Ensure data quality, consistency, and reliability across all stages of the data pipeline.
- Work with large datasets to perform data wrangling, cleaning, and transformation as needed.
3. System & Infrastructure Management :
- Collaborate with system administrators to manage and monitor the on-premises Hadoop and Spark infrastructure.
- Ensure the stability, security, and performance of the Spark cluster, including monitoring and troubleshooting any issues.
- Participate in capacity planning and scaling of the Spark environment based on business needs.
4. Collaboration & Documentation :
- Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and deliver efficient solutions.
- Document the architecture, design, and implementation of Spark jobs and workflows for future reference and audits.
5. Performance Tuning & Optimization :
- Analyze and optimize Spark job performance, including caching, partitioning, and job scheduling.
- Identify and resolve performance bottlenecks in the Spark environment.
6. Security & Compliance :
- Implement security best practices for managing sensitive data within the Spark ecosystem.
- Ensure compliance with organizational policies and industry regulations.
Required Qualifications :
- 6 to 8 years of experience in developing and managing Apache Spark applications in an on-premises environment.
- Strong proficiency in programming languages such as Java, Scala, or Python for Spark development.
- Deep understanding of Spark architecture, including RDDs, DataFrames, and SparkSQL.
- Experience with performance tuning and optimizing Spark jobs.
- Solid understanding of data warehousing concepts, data modeling, and ETL processes.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to work in a team-oriented environment.
Preferred Qualifications :
- Familiarity with DevOps practices, CI/CD pipelines, and version control systems like Git.
- Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
- Experience with data security and governance practices in an on-premises environment.
- Certifications in Apache Spark or related big data technologies.
(ref:hirist.tech)-
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