We need a Senior Data Engineer proficient in Spark, Scala/Java, and Hive, with extensive hands-on development experience in the Big Data Ecosystem.

Key Responsibilities:

• Design, implement, and optimize highly performant data pipelines using Spark, Scala/Java, and Hive on platforms like Cloudera Data Platform (CDP) or other Hadoop echo systems.

• Take complete ownership of complex data engineering projects within the big data ecosystem, covering the entire lifecycle from initial design and development to deployment and ongoing maintenance.

• Develop robust and efficient Hive queries for extensive data analysis and reporting.

• Champion and enforce best practices and coding standards for new and existing data flows to ensure they are robust, scalable, secure, and maintainable using Spark, Scala/Java, and Hive within the big data ecosystem.

• Diagnose, troubleshoot, and resolve complex issues related to Spark, Scala/Java, and Hive applications and YARN resource management, implementing performance optimization solutions.

• Proactively collaborate with stakeholders, working closely to develop solutions with full commitment and accountability.

Technical Skills & Experience:

• Proven hands-on development expertise with Apache Spark

• Strong programming proficiency in Scala and/or Java

• In-depth knowledge and practical experience with Hive, including query optimization and data analysis.

• Experience with data platforms such as Cloudera Data Platform (CDP) is highly desirable.

Education:

• Bachelor’s / Master's degree/University degree or equivalent experience

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$94,300.00 - $141,500.00

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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