Data Analytics Software Engineer IBM

Key features * A health benefits portfolio that provides strong support for employee well-being and preventive care, comprehensive coverage to meet a range of medical situations, and solid protection against the cost of serious injury or illness. * Income protection in case of serious illness, injury or death, including life insurance and disability benefits. * A retirement program that helps build future financial security through retirement savings and other capital accumulation programs. * Opportunity to follow leisure pursuits through vacation, personal leave and holiday plans. Eligibility Regular IBM employees are eligible for all benefit programs, except the IBM Employees Stock Purchase Plan, beginning with the first day of employment. Health care coverage (medical, dental and vision) is available for you, your spouse/eligible domestic partner and eligible children and other dependents (documentation supporting eligibility is required). IBM provides a range of options, to allo

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The Weather Company, an IBM Business is seeking a Data Analytics Software Engineer to utilize skills in distributed analytical processing with a focus on Geospatial and temporal analysis of large bodies of data. Work with data scientists, business stakeholders, and team members to design, build, and operational strategic analytic objectives. Work will include coding analytical processes of very large scale data processing streams and machine learning pipelines feeding a broad data platform of weather consumers.

Responsibilities:
  Participate in the design and implementation of sophisticated software systems using
functional programming techniques implemented in the Scala language
  Participate in software design and...

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Continuous Integration, Source Code Management (git), Jira, and Stash
  Maintain a high level of proficiency with Computer Science/Software Engineering
knowledge and contribute to the technical skills growth of other team members
  Keep abreast of prevailing techniques and tooling, in Geospatial and Temporal data
analysis
  Work well independently and as part of a team

Knowledge
  Strong understanding of data structures and algorithms
  Knowledge of functional programing languages and techniques
  Knowledge of object-oriented programming languages and techniques
  Solid understanding of concurrency and concurrent programming techniques
  Solid understanding of distributed computing techniques
  Knowledge and understanding of operating with data in large scale