Job Description
Role Purpose
The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists.
Job Description: -
We are looking for an experienced Big Data Engineer with proven hands-on expertise in Apache Spark. The role involves designing, developing, and optimizing large-scale data processing pipelines. Proficiency in Scala is preferred; however, experience in any JVM-based language for Spark development is acceptable.
Key Responsibilities:
• Design, develop, and maintain data processing pipelines using Apache Spark.
• Optimize Spark jobs for performance and scalability in distributed environments.
• Work with large datasets to perform ETL (Extract, Transform, Load) operations.
• Collaborate with data scientists, analysts, and engineers to deliver robust data solutions.
• Ensure adherence to best practices for data quality, security, and governance.
• Troubleshoot and resolve issues related to data processing and performance tuning.
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Required Skill-
- Proficiency in Spark Core, Spark SQL, and Spark Streaming.
- Strong programming skills in Scala (preferred), or Python/Java.
- Experience with distributed computing and parallel processing concepts.
- Familiarity with the Hadoop ecosystem, Hive, or related technologies.
- Solid understanding of data structures, algorithms, and performance optimization.
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Deliver
| No | Performance Parameter | Measure |
| 1 | Process | No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT |
| 2 | Team Management | Productivity, efficiency, absenteeism |
| 3 | Capability development | Triages completed, Technical Test performance |
Experience: 5-8 Years .
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