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Job Details

Geospatial Data Management Engineer

Los Angeles, CA

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Los Angeles
Job Description
Ready to change the way the world works? This is your chance to establish innovative new technology products, as well as your career, with the world's second largest software-maker. Hone your expertise alongside fellow talented professionals, where you'll develop some of the most exciting software solutions on the market. At IBM and The Weather Company, we're strongly committed to the advancement of open Internet standards and applications.
The Weather Company (an IBM Business) is seeking a Geospatial Data Management Engineer to utilize skills in DevOps and data management/engineering to work with architects, developers and other team members to design, build, and operationalize solutions for strategic enterprise data processing. Work will include development and playing a key role in the design, installation, testing and maintenance of software systems to aggressively manage the business needs for controlled structure in complex environments.
Preferred Location(s): Yorktown and Hursley
Required Technical and Professional Expertise
You will be a part of a distributed team participating in BigData (Hadoop,SPARK) clusters development and deployment projects with large amount of data (> 1PB) following DevOps principles (on-premise and cloud)
Extend the BIG DATA line with some data formats: Parquet, ORC, Avro,
Extend the Analytics line with spatial topics: Spatial Analytics, GIS, GDAL
Proven experience in Agile and lean development
Good technical aptitude coupled with the ability to quickly understand new technology
Excellent communication, teamwork and a results-oriented attitude
Proficiency in problem solving and debugging
Preferred Tech and Prof Experience
Bachelor’s degree in information technology, business, or related field, or equivalent combination of education and experience required.
10 years data quality, data management, data/sw engineering or similar level experience required.
Experience in Geospatial analytics is preferred
DevOps & automation: Kubernetes, Git, Github, Jenkins, Terraform,Chef,Docker
Experience in designing, running and troubleshooting Hadoop/SPARK clusters
BIGDATA: HBase, spark, hive, elastic search
Cloud: IBM Cloud, AWS, S3, Swagger
Strong understanding of Linux OS core principles, performance and tuning
EO Statement
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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