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Junior Data Engineer / ETL Developer

We are currently seeking a Junior Data Engineer / ETL Developer with knowledge in the design, development, and implementation of ETL solutions, and analytics solutions, including data transformation and processing systems. Candidates will be tasked with the analysis of business data and requirements, and the transformation of those requirements into data analytics solutions to support the business strategy of the MIAX Exchange Group.  Strong written and oral communication skills are essential and candidates should be self-directed and motivated to work in a fast paced, team-oriented environment.

Major responsibilities include:

  • Requirements gathering, design, and development of ETL, internal/external data feeds and reporting solutions
  • Development of surveillance patterns and deep analytics processing solutions against big data stores
  • Design and development of data models, reports and visualization and analytics solutions needed to support dynamic business intelligence capabilities
  • Support of critical production systems, including, when necessary, off-hours support 

Location:

Princeton, NJ

Organizational Structure:

The Jr. Data Engineer will report directly to the VP of Data Engineering.

Qualifications:

  • Extraction and analysis of data, patterns, and related trends as needed, with the subsequent ability to synthesize the data into information consumable by the organization
  • Understanding of the concept of ETL (Extract, Transform, Load) and data integration workflow
  • knowledge of SQL scripting and working with relational database systems
  • Familiarity with cloud-based platforms like AWS is increasingly valued.
  • Strong knowledge of Python, Linux/UNIX and shell scripting, C++ and Java is a plus
  • Basic knowledge of data warehouse concepts.
  • Understanding of relational databases.
  • Strong written and oral communication skills
  • Self-directed and motivated to work in a fast-paced team-oriented environment
  • Attention to detail and a strong sense of data accuracy.

Education and Experience:

  • Minimum of a Bachelor’s degree or equivalent in Computer Science or Data Science
  • Recent graduates or candidate with internships/projects in data engineering are encouraged to apply.