The CompanyHitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society what we call a double bottom line.
Only Hitachi Vantara combines 100+ years of experience in operational technology (OT) and 60+ years in IT to unlock the power of data from your business, your people and your machines.
We help enterprises store, enrich, activate and monetize data for better customer experiences, new revenue streams and lower business costs.
The RoleThe Big Data & Analytics Solutions Engineer is responsible for working closely with Hitachi Vantara Account Managers calling on Global 1000 organizations to help them become disrupters with data.
The Big Data & Analytics Solutions Engineer must possess technical depth as well as strong interpersonal and sales skills.
We are looking for someone who is passionate about working with customers to architect real-world solutions to their business and technical challenges.
ResponsibilitiesSolution Design Interview prospects to determine business and technical requirements and determine a technical fit.
Create compelling customized presentations tailored to prospects’ use case and vertical.Conduct technical Q&A sessions and demonstrations around Pentaho product features, installation, configuration, and best practices.
Design and scope focused evaluation plans that uniquely position Pentaho, are tied to prospect requirements, and prove out business value.
Collaborate with big data experts, data scientists, consultants in Pentaho and Hitachi to deliver advanced custom demonstrations, workshops, and POCs.
A passion for learning new technologies as needed. Creative troubleshooting of issues that require solutions or innovative work-
a-roundsKey stakeholder in collaboration with marketing, product management, engineering, and professional services across Pentaho and Hitachi.
Qualifications3+ years of experience in designing, implementing and supporting big data projects (e.g. Hadoop, NoSQL, Spark).
2+ years of presales experience supporting enterprise software sales cyclesAdvanced big data implementation and java architecture experience as well as understanding of data integration and data warehousing.
Hands-on Hadoop experienceETL, data warehousing, data engineering, data integrationRelational databases (e.g. Oracle, MySQL, PostgreSQL, generic SQL, JDBCJava programmingBI Tools (e.
g. Tableau, Qlik, MicroStrategy)Security systems (e.g. LDAP, SSO, Kerberos)Advanced analytics (e.g. R, Scala, Python, Weka, SAS)Operating systems (e.
g. Linux, Windows, shell scripting)A. or B.S. Degree from an accredited university (may substitute an Associate degree plus 4 additional years of experience).
We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.#LI-AP1