Data Science Engineer

7 days ago

Bukit Merah, Singapore Hewlett Packard Full time

**Job Summary**

**What a Data Science Engineer does in HP**:

- Participates in solution development for small to medium deals, documenting solution components, defining deliverables, and preparing estimates.
- Offers valuable inputs and advice to peers, management, and customers in alignment with data engineering principles, technologies, methods, and best practices.
- Leads the planning and execution of database development and maintenance, encompassing the design, modification, testing, release/deployment, and maintenance of database environments.
- Creates and maintains logical and physical data models for databases and projects, while also participating in the development and upkeep of enterprise data models for less complex enterprises.
- Supports business and technical personnel in data analysis activities, including SQL queries, and engages in data quality analysis and profiling.
- Automates and optimizes data processing workloads by recognizing patterns in data and technology usage and supports in the development of data transformation strategies for business intelligence or data migration.
- Collaborates to gather business and functional requirements, translating them into robust, scalable, and operable solutions with flexible data architecture.
- Leads moderate to high complexity projects, delivering professionally written reports, and supports the realization of operational and strategic plans.

**Individuals who will do well in this role, usually possess**:

- Four-year or Graduate Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics, Machine Learning, Data Analytics, Business Administration, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 4-7 years of work experience, preferably in analytics, data science, reporting, or a related field or an advanced degree with 3-5 years of work experience.

**Preferred Certifications**
- Data Analytics Certifications

**Knowledge & Skills**
- Agile Methodology
- Amazon Web Services
- Apache Spark
- Automation
- Big Data
- Computer Science
- Data Analysis
- Data Architecture
- Data Engineering
- Data Modeling
- Data Warehousing
- Extract Transform Load (ETL)
- Java (Programming Language)
- Machine Learning
- Microsoft Azure
- NoSQL
- Python (Programming Language)
- Scalability
- Software Engineering
- SQL (Programming Language)

**Cross-Org Skills**
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity

**Impact & Scope**
- Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.

**Complexity**
- Responds to moderately complex issues within established guidelines.

**Disclaimer**
- Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision - to create technology that makes life better for everyone, everywhere._
- HP is a Human Capital Partner - we commit to human capital development and adopting progressive workplace practices in Singapore._
- #Li-Post_

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