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Distinguished Data Engineering Professional
2 weeks ago
We are seeking a seasoned Senior Data Engineer to design and develop large-scale, distributed data processing pipelines using Apache Spark and related technologies. The ideal candidate will have 6+ years of experience in Java and related frameworks, with a deep understanding of Java core and Java EE concepts, JVM internals such as class loading and memory management.
Key Responsibilities:
- Design and develop large-scale, distributed data processing pipelines using Apache Spark and related technologies.
- Develop expertise in Spark Core, Spark SQL, Batch processing, and Spark Streaming with Spark Java API.
- Work with Kafka messaging, producer, consumer operations, and offset management for real-time data streaming with Apache Kafka/Confluent Kafka.
- Collaborate with upstream/downstream functional teams to identify, troubleshoot, and resolve data issues.
- Stay up to date with new technologies and industry trends in Development.
Required Skills and Qualifications:
- Minimum 6+ years of experience in Java and related frameworks.
- Deep understanding of Java core and Java EE concepts, JVM internals such as class loading and memory management.
- Good knowledge on the fundamental Data Structures, Collections, and their usage.
- At least 5 years of experience in Project development life cycle activities and maintenance/support projects.
- UNIX shell scripting will be an added advantage in scheduling/running application jobs.
Benefits:
- Opportunity to work on cutting-edge technology.
- Collaborative and dynamic work environment.
- Competitive salary and benefits package.
Others:
- Must be willing to adapt to changing priorities and deadlines.
- Strong communication and teamwork skills.