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Data Engineer – Spark Data Engineer

HP

This is a Full-time position in Spring, TX posted September 11, 2019.

We are looking for a talented Spark Data Engineer, to join a great team at HP In this role, you’ll bring advanced subject matter knowledge to solve complex business issues, and we’ll look to your Spark data engineering subject matter expertise In this role, you will frequently contribute to the development of new ideas and methods.

You will also get to work on complex, interesting problems, where analysis of situations or data requires an in-depth evaluation of multiple factors.

We’d love for you to lead and/or provide expertise to functional project teams, and you may also participate in cross-functional initiatives.

We’ll rely on your experience and expertise to provide direction and guidance to process improvements, including in helping to establish/advise on policies.

You’ll have the opportunity to work with a number of external clients, helping to provide them with effective solutions and insights.

We’ll trust you to utilize significant independent judgment within broadly defined policies and practices, including determining the best method for accomplishing work and achieving objectives.

We’d love for you to also use your deep experience to occasionally help mentor and guide less experienced employees.

Key skills will by Python, Scala, and Databricks Spark, as applied in a data engineering capacity.

If you love data engineering as much as we do, we’d love to learn more about you Responsibilities Mines data using modern tools and programming languages.

Defines and implements models to uncover patterns and predictions creating business value and innovation.

Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.

Ties insights into effective visualizations communicating business value and innovation potential.

Maintains proficiency within the data science domain by keeping up with technology and trend shifts.

Contributes to industry data science domain initiatives.

Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.

Collaborates and communicates with project team regarding project progress and issue resolution.

Communicates and drives data insights/innovation into the business.

Represents the data science team for all phases of larger and more-complex development projects.

Provides guidance, training and mentoring to less experienced staff members.

Strong Scala, Python programming experience is a must Databricks Spark experience Knowledge & Skills Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges.

Fluent in structured and unstructured data, its management, and modern data transformation methodologies.

Ability to define and create complex models to pull valuable insights, predictions and innovation from data.

Effectively and creatively tell stories and create visualizations to describe and communicate data insights.

Strong analytical and problem-solving skills.

Excellent written and verbal communication skills; mastery in English and local language.

Ability to effectively communicate data insights and negotiate options at senior management levels.

Scope & Impact Collaborates with peers, junior engineers, data scientists and project team.

Typically interacts with high
– level Individual Contributors, Managers, Directors and Program Core Teams.

Leads multiple projects requiring data engineering solutions development.

Drives design innovation.

Education & Experience Bachelor’s, Master’s or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.

6-10 years
– professional experience.

Li-Post
– provided by Dice