Data Engineer for North America
hace 2 semanas
In this role, you will be responsible for analyzing vast amounts of data and working closely with the Business and Sales organization to drive business outcomes for the North America market. You will be part of a diverse and highly skilled team, combining technical expertise in Data Engineering and ETL processes with business strategy to take the business to the next level.
Responsibilities:- Mine data using modern tools and programming languages.
- Define and implement data flows and processes to innovate for the business.
- Work with the business to understand the business domain perspective.
- Effectively tell stories with the data using visualization tools/methods to demonstrate insight impact and business value.
- Assure accuracy, integrity, and compliance of cleansed data.
- Maintain proficiency within the data engineering and data science domain by keeping up with technology and trend shifts.
- Lead a project team of data science professionals.
- Collaborate and communicate with project team regarding project progress and issue resolution.
- Represent the data science team for all phases of larger and more-complex development projects.
- Provide guidance, training and mentoring to less experienced staff members.
- Proficient in SQL and/or Python.
- Experience in cloud-based environments.
- Ability to work across multiple businesses and projects at once.
- Ability to work across multiple data streams.
- Fluent in structured and unstructured data and modern data transformation methodologies.
- Ability to use creativity to spot trends and tease out patterns in large datasets.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills; mastery in English and local language.
- Ability to effectively communicate data insights to project team and leadership.
- Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
- Typically 4-6 years' experience in Data Engineering, Data Analytics or Data Science role.
About HP
HP is a technology company that operates in more than 170 countries around the world, united in creating technology that makes life better for everyone, everywhere.
Our history: HP's commitment to diversity, equity and inclusion - it's just who we are.
From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Come to HP and thrive
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