Senior/Lead Big Data Engineer - Hadoop

Key Responsibilities

This role can sit remote- but the preference is in the Dallas, TX location

⦁ Executes complex and occasionally highly complex functional work tracks for the team. Drives the execution of operational/technical objectives for data analytic outputs and business solutions.
⦁ Partners with technology teams on Big Data efforts.
⦁ Partners closely with peers in the department to ensure holistic Big Data solutions for our data science community and analytic users.
⦁ With coaching, can identify new areas of data, research and big data technology that can solve business problems
⦁ Leverages and uses Big Data best practices / lessons learned to develop technical solutions used for descriptive analytics, ETL, predictive modeling, and prescriptive “real time decisions” analytics
⦁ Influences within the department on the effectiveness of Big Data systems to solve their business problems
⦁ Is recognized as an expert in Big Data and is influential within the department.
⦁ Develops technical solutions using Big Data techniques in data & analytics processes.
⦁ Supports Innovation; regularly provides new ideas to help people, process, and technology that interact with analytic ecosystem.
⦁ With coaching, develops and builds frameworks/prototypes that integrate big data and advanced analytics to make business decisions.
⦁ With coaching, implements new areas of Big Data technologies, (ingestion, processing, distribution) and research delivery methods that can solve business problems.
⦁ Understands the Big Data related problems and requirements to identify the optimal technical approach.
⦁ Works with key team members to ensure efforts within owned tracks of work will meet their needs.
⦁ Drives multiple tracks of moderately complex and occasionally complex work within the research group.
⦁ Identifies and develops Big Data sources & techniques to solve business problems.
⦁ Co-mingles data sources to lead work on data and problems across departments to drive improved business & technical results through designing, building, and partnering to implement models.
⦁ Manages various Big Data analytic tool development projects with midsize teams.
⦁ Executes on Big Data requests to improve the accuracy, quality, completeness, speed of data, and decisions made from Big Data analysis.
⦁ Uses, learns, teaches, and supports a wide variety of Big Data and Data Science tools to achieve results (i.e., R, ETL Tools, Hadoop, and others).
⦁ Uses, learns, teaches, and supports a wide variety of programming languages on Big Data and Data Science work (i.e. Java, C#, Python, and Perl)
⦁ The development and execution of a communication strategy that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work
⦁ Trains and develops more junior engineers.

Job Qualifications

This role can sit remote- but the preference is in the Dallas, TX location

⦁ 3 - 4 Years of experience or equivalent skills & ability
⦁ Master’s or PhD preferred in a quantitative or scientific field such as computer science, computer engineering or equivocal experience
⦁ Experience in using software development to drive data science & analytic efforts
⦁ Experience with database & ETL technologies
⦁ Experience with various data types (e.g. Relational, Unstructured, Hierarchical, Linked “Graph” Data)
⦁ Experience in developing, managing, and manipulating large, complex datasets
⦁ Experience in working with statistical software such as SAS, SPSS, MatLab, R, CART, etc.
⦁ Proven ability to code and develop prototypes in languages such as Python, Perl, Java, C, R, SQL, XSLT
⦁ Ability to communicate and present advanced technical topics to general audiences
⦁ Leading project teams of various skills levels
⦁ Understanding of predictive modeling techniques a plus