Lead Data Engineer

This is a remote position.

***This role can be located in McLean, VA or be Remote***

Job Summary

Our client’s Global Technology team is responsible for creating the experience of the future – for guests, owners, and Team Members. Through innovative technology development and deployment, this team ensures there is the technology needed to support our continued global growth while remaining at the forefront of hospitality technology innovation.

What will I be doing?

As a Lead Data Engineer, you will be responsible for designing and delivering enterprise-wide solutions. You will be supporting data hubs on on-prem, Hadoop, and cloud platforms. This position works with enterprise architects, data architects, and solution architects to design and implement data solutions to meet business priorities in keeping with technology strategy, standards, and the best course of action.

The successful candidate will be an engineering specialist proficient in modern computing, big data, and advanced analytics architectures and patterns and having a consistent record of delivering the products. This position reports to enterprise/principal architects and works under their guidance.

Key responsibilities to include:

• Partner with the engineering and operations team in implementing the technology solutions.
  
• Help with the proof of concepts and build data pipelines in the cloud and big data space.
  
• Implement technical best methods, technical solutions, interpret trends and patterns in collaboration with engineering under architecture team guidance.
  
• Improve data quality and efficiency of data processing channels and always look for optimizations.
  
• Able to perform data profiling, data analysis, and data modeling.
  

What are we looking for?

The success in this role will demonstrate itself through the following attributes and skills:

• Previous experience as a data engineer or in a similar role
  
• Hands-on experience with AWS services (S3, Lambda, step function, glue, EMR, kafka-MKS, and Redshift)
  
• Experience with Apache Spark with Scala or Python
  
• Experience with RDBMS - MySQL, PostgreSQL
  
• Experience in Conceptual, Logical, and Physical data modeling
  
• Experience in metadata capture and management
  
• Experience with Master Data Management
  
• Experience with ETL and EL technologies
  
• Accomplished in software/platform design principles
  
• Skilled at understanding, documenting, and describing complex technical subjects; and aligning business capabilities to technology solutions
  

To fulfill this role successfully, you should demonstrate the following minimum qualifications:

• Seven (7) years of professional Technology or related field experience
  
• Four (4) years of experience with Big Data technologies and platforms such as Hadoop, Redshift, Scala, Spark, or Hive
  

It would be useful in this position for you to demonstrate the following capabilities and distinctions:

• Bachelor’s Degree, or Associate’s Degree plus 6+ years of Technology related experience, or High School Degree/GED plus 12+ years of Technology related experience
  
• Nine (9) years of Technology related experience
  
• Five (5) years of software/platform design and implementation experience
  
• Five (5) years of experience with cloud applications/technologies
  

RM Dayton Analytics, Ltd. Co. - Aligning Tomorrow’s Knowledge Worker ™

Our sole-focus is aligning analytic talent in Business Analytics, Data Science and Cross-Enterprise Artificial Intelligence for our blue-chip customers.

Equal Opportunity Employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race. color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information or any other consideration prohibited by law or contract.