Big Data Platform Staff Engineer

Integrated Resources, Inc.
Santa Clara, CA, United States
6 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Query Performance Java (Programming Language) Automation of Tests Big Data Databases Data Infrastructure Distributed Systems Elasticsearch Apache Hadoop Hadoop Distributed File System Apache HBase Apache Hive
+13 more
Java Database Connectivity NoSQL Logstash Software Engineering Apache Solr Scripting Apache Spark Information Technology Apache Kafka Data Management Kibana Software Coding Restful APIs

Job description

Big Data Platform Staff Engineer Job Title: Big Data Platform Staff Engineer Duration: 6 Months Location: Santa Clara, CA Job Description: As a core developer, you will be part of the team that focuses on the next generation Clients’ Big Data Platform. Your primary responsibility includes developing big data tools that facilitate various consumers (users or programs), in terms of optimizing or automating the system. In particular, you will be developing tools for handling big data metadata, extracting metadata and importing them into Clients’ big data platform, and synchronizing metadata across several metastores. You will also be developing algorithms to analyze query workload and generate recommendations (advisors) on optimizing the various system components and structures. You will also perform testing, analyzing, and optimizing the Big Data Platform performance.

Requirements

The position involves strong problem-solving and analytical nature, and excellent verbal and written communication skills. Requirements: BS or higher degree in Computer Science or related field. 5+ years of software development experience, including performance analysis. Strong SQL knowledge (JDBC) in query processing, optimization and execution, query performance, Explain, database tooling Spark/SparkSQL is a big plus Excellent coding skills in Scala/Java and scripting languages; UI skill a big plus Hands-on experience in Big Data Components/Frameworks, such as Hadoop, Spark, HBase, HDFS, Hive, NoSQL databases etc. Experience in other distributed system components, such as Solr, Elasticsearch, Logstash, Kibana, Kafka, REST API, etc. is a plus Key Responsibilities: Develop tools that extract/import/synchronize metadata· Develop tools that analyze query workload, derives common workload characteristics, generates recommendations for optimizing the system usage, and measures the benefits (advisors) Analyze performance and scalability of the system, typically across a variety of software configurations Testing (and automated testing) of developed code

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