Data Engineer

The Data Engineer analyzes complex and unstructured data using state-of-the-art data science and engineering methods to help with data driven decision making. This role uses knowledge of data science methods and applies analytics to solve real world problems. The Data Engineer will work with customers and/or internal stake holders to collect and understand data, perform wrangling, develop and integrate applications and collaborate.

Job Duties/Roles

• Utilize your knowledge of modern data driven methods and domain understanding to support the creation of new products, services and insights using predictive models
• You have a demonstratable ability to write independent source code, validate and test for model quality improvement
• Are comfortable in machine learning, artificial intelligence, classification, regression, nlp, etc.
• Use your experience and are hands-on in Python, Database Systems (such as SQL) and Azure cloud tools to contribute towards solving data analytics problems
• You are ‘Database-Centric’ and perform data wrangling and processing from multiple databases (structured or un-structured data) with a keen eye for data quality all along
• You think in a ‘Pipeline-Centric’ manner and are comfortable with using DevOps Repo and can build, manage and optimize data pipelines and deploy these pipelines into production
• You have exposure in developing and used tools like Python libraries and visualization
• Be able to think independently and work as part of a cross-functional team to achieve common goals
• Comfortable working independently on data modelling/engineering tasks and are eager to learn
• Stay current in the field of advanced analytics and take initiative to apply new technologies

Knowledge, Skills and Abilities Required (KSAR)

• Experience in using Machine Learning, Ai and other data science technologies

• Strong and demonstrable experience with programming languages such as Python (used numpy, pandas, etc.)

• Strong knowledge of data architectures and systems – SQL and others for ETL purposes

• Strong knowledge of DevOps, in particular, using the Repo and pushing and pulling source code with versioning

• Ability to work with MS Azure cloud tools

• Intermediate C# and Power Shell scripting skills

• Good skills in using Web APIs and XML

• Experienced in using tools such as MS Power BI, Tableau or other visualization tools is a big plus

• Knowledge of object-oriented programming and building RestFul APIs for data science modelling is a plus

• Display an entrepreneurial mind set and think practical, ‘out of box’ solutions

• Ability to work efficiently and deliver timely in a fast-paced environment

  
  

Minimum years of Experience

Minimum 3-4 years of relevant experience in data analytics as a data engineer, data analysit, data scientist (or applied scientist role)

Required/Preferred Education Requirements

BS degree required; MS preferred in Data Engineering, Data Science Computer Science, Engineering, or another relevant field

Required/Preferred Professional Requirements

None

Country Requirements

Must be a US Citizen or Permanent Resident (US Person) and be able to work on Government Data

Reporting Relationships

Reports directly to the Chief Data Scientist in Global Technology

Direct Reports

May have individual contributor direct reports.

Disclaimer Clause

This job description is not intended, and should not be construed, to be an all-inclusive list of responsibilities, skills, efforts or working conditions associated with the job of the incumbent. It is intended to be an accurate reflection of the principal job elements essential for making a fair decision regarding the pay structure of the job.

Working Conditions

Work is primarily sedentary; exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move object

FLSA Status

Exempt

The American Bureau of Shipping is committed to the equal employment opportunity of its employees and prohibits discrimination against any employee or qualified applicant on the basis of race, color, creed, religion, national origin, sex, gender identity, age, disability, marital status, sexual orientation, citizenship status or veteran status, or other non-work-related characteristics that may be protected under the law of the Federal Government or specific state employment laws.