Scope of your work involves building performant backend systems that can do macro and micro level investor and organization flow analysis, and building appealing workflow solutions for your clients to visualize and understand the information to make informed investment decisions.

More Uses of the Big Data Toolkit:

  • Manage work with client to drive transformation programs around Business Analytics, Big Data and cloud solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.
  • Collaborate with your Engineering teams, specifically in the realm of Big Data, computer vision/facial recognition, and analytics.
  • Create, manage and maintain security and governance programs related to Big Data applications, data security, privacy and infrastructure (cloud based and on premises).
  • Consult with executives to develop and implement an enterprise wide strategy that maximizes the value by your offerings in alignment with Customers objective.
  • Lead: employee focus you invest in your employees professional development and training, respecting individuality, and fostering a culture of diversity and inclusion.
  • Lead: behavioral classification, forecasting and prediction, fusion of multiple data sources, or in general improving your current algorithm by more sophisticated data driving models.
  • Analyze projects to identify risks and potential roadblocks, and develop mitigation strategies to meet the program goals and objectives.
  • Manage dashboards and analytics that communicate status and evaluate the effectiveness of promotions, offers and campaigns.
  • Secure that your business leads development, testing, deployments, and iterative improvement of product capabilities and features in collaboration with designers, product managers, and other engineers on the product team.
  • Provide technology agnostic technical leadership, drive technology stack selection and ensure the project team is setup for success on any number of open source, commercial, on premise and/or cloud based data engineering technologies.
  • Devise as is, to be and interim Big Data platform architecture to support organization data needs and platform / data integration transformation.
  • Devise: conduct software development, software integration, statistical analysis, modeling, and simulation all in a rapid DevOps environment.
  • Be accountable for determining design methodologies and tool sets; completing programming using languages and software products; designing and conducting tests.
  • Lead the development of machine learning, data mining, and statistical or graph based algorithms designed to fuse and analyze massive data sets.
  • Communicate highly technical results and methods clearly to clients, consider how to incorporate information into processes, and achieve high client satisfaction.
  • Control: structure on time, quality delivery of work products against agreed milestones and maximization of revenue recognition targets.
  • Ensure you introduce; lead internal and client teams to drive transformation programs around Business Analytics, Big Data and cloud solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.
  • Orchestrate: work at the forefront of marketing technology and Big Data where the product is constantly evolving and getting better and better with each new iteration.
  • Integrate the Big Data platform with the broader architectures and enterprise software ecosystem across your organization and industry.
  • Provide a test plan for use by other engineering staff, quality assurance and support departments in validating a new implementation.
  • Cooperate with contract IT management to deploy software and hardware upgrades that make it possible for you to leverage Big Data.
  • Ensure your group applies advanced knowledge and provides guidance for software updates, refinement, testing, and debugging to meet business needs.
  • Coordinate with project management, software architects, and other engineering teams in determining overall system solutions.
  • Assume product ownership of new or emerging offerings, steering product concepts / ideas towards mature service offerings.
  • Drive successful end to end project execution from post sales engagement, staffing plans, requirements gathering, design, development, deployment and support.
  • Ensure you are an expert in Big Data analysis and know how to apply Machine Learning techniques to solve challenging data driving problems.
  • Ensure you execute; understand and apply quality techniques and practices (automated unit testing, Test Driven Design/Development, continuous integration).
  • Facilitate collaboration with technical counterparts to ensure seamless integration of technical and functional teams to deliver Big Data for your organization.
  • Confirm your planning provides leadership to the IT Data Management Department in the areas of data warehousing, Big Data, business intelligence, data architecture, and other associated data related initiatives.
  • Analyze, design, program, debug and modify software enhancements and/or new products used in distributed, large scale analytics and visualization solutions.

 

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