Cranium Information Technology

1 month ago


Hyderabad, India cranium IT Full time

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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