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Job Details
Responsibilities:
- Design and implement grammars with JavaCC and integrate through Visitors.
- Build and maintaing processors to execute rules based on ASTs.
- Develop and optimize Java integrations with Apache Spark
- Analyze, interpret, and optimize Spark DAGs to improve job performance and resources usage.
- Work with Hive and Oracle to exatract and manipulate large datasets.
- Manage and organize data in HDFS, ensuring performance and scalability.
- Collaborate with team on code reviews, architecture discussions, and continuous improvements.
Qualifications:
- 5-8 years of relevant experience
- Strong experience with Java (preferably Java 8++).
- Advanced knowledge of Apache Spark (DataFrames, job executions, DAG optimizations).
- Hands-on experience with JavaCC (grammar creation, ASTs, visitors).
- Proficiency in Hive and Oracle (queries, large-scale data manipulations).
- Practical experience with HDFS (read/write operations, data organization).
- Strong analytical and problem-solving skills.
- Experience in Big Data projects within regulatory or financial reporting contexts.
- Knowledge of distributed ETL and data engineering best practices.
- Experience with Unix/Linux and shell scripting (ksh/bash).
- Familiarity with Maven and CI/CD practices.
Education:
- Bachelor’s degree/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Primary Location Full Time Salary Range:
$94,300.00 - $141,500.00------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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