Tech Prof - Data Science, Sr

Key Skills

Analytical and Problem solving, Cloud computing, Data Architecture, Data science techniques, Data Visualization, Data Warehousing, Effective communication skills, HBase, Java Programming, MongoDB, Oracle, Python Programming, Scala Programming, SQL

Job Description

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

We need an experienced data engineer to lay down the foundation of our technical database and its architecture. The successful candidate will assess a wide range of requirements and apply relevant database techniques to create a robust architecture, carry out testing to identify any bugs or performance issues and lead a team to maintain the integrity of the data model and architecture.

Roles & Responsibilities:

• Develop data architecture
• Collect data
• Conduct research
• Repair and re-structure existing data
• Create models and identify patterns
• Automate tasks
• Lead data team responsible for maintaining data model and architecture

Expected knowledge & skills:

• Programming Skills: e.g., Python, Java, and Scala.
• Database Skills: e.g., SQL, Orcle, Cassandra, MongoDB, and HBase.
• Data Warehousing
• Data Integration
• Cloud Computing
• Data Pipelines
• Version Control
• Data Visualization
• Good communication skills
• Problem-solving skills
• Willingness to learn

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

11 Tuas South Avenue 12, Singapore, Singapore, 637131, Singapore