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Data Engineer - Data Science CoE

Date: 
Location: 

Singapore, 05, SG, 639940

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.

 

Halliburton invites qualified candidates to apply for the Data Engineer position with the Data Science Center of Excellence (COE), Halliburton Digital Solutions. The Data Engineer is responsible for designing, developing and operationalizing ETL pipelines to support the data needs of cross-functional projects. They will also drive the adoption of data processing and analysis within the Microsoft Azure environment and help train other members of the team. They will provide technical leadership and support to our data analysts and data scientists on data initiatives and will ensure data delivery architecture is consistent throughout multiple projects.

 

Responsibilities

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
  • Implement data flows connecting operational systems, BI systems, and the big data platform
  • Build real-time, reliable, scalable, high-performing, distributed, fault tolerant systems
  • Clean and transform data into a usable state for analytics. Build data dictionary.
  • Create data tools for analytics and data scientist team members that assist them in their ML endeavors
  • Design and develop code, scripts and data pipelines that leverage structured and unstructured data
  • Implement measures to address data privacy, security, compliance

 

Required Education and Skills

  • BS in computer science or related STEM field
  • Experience with designing data and analytics architectures in Microsoft Azure cloud.
  • Experience with Big Data technologies like Spark, Hadoop, Hive, HBase, Kafka etc.
  • Fluency in several programming languages such as Python, Scala, Java, with the ability to pick up new languages and technologies quickly
  • Experience with data warehousing, data ingestion, and data profiling
  • Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects

 

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

315 Jalan Ahmad Ibrahim, Singapore, Singapore, 639940, Singapore

 

Job Details

Requisition Number: 88740  
Experience Level: Experienced Hire 
Job Family: Engineering/Science/Technology 
Product Service Line: Global R&D  
Full Time / Part Time: Full Time

Additional Locations for this position: 

 

Compensation Information
Compensation is competitive and commensurate with experience.


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