Data Engineer - (Princeton, NJ)

Position: Data Engineer
Location: Princeton, NJ

Job Description:
The Data Engineer is a key contributor to the Data Governance team, focusing on ensuring data quality and establishing repeatable processes to build trust in our data assets. The Data Engineer collaborates with various teams to transform business requirements into technical solutions using technologies like Informatica, Snowflake, Tableau, SQL, and Python. This role supports data-driven decision-making across the organization by assisting in the design, development, and implementation of accurate and efficient data solutions aligned with evolving business priorities.
Required Qualifications:

• Required - Bachelor's degree in Data, Business, Finance, Information Management, or equivalent work experience.
• Preferred Hands on experience with cloud technologies like Informatica IDMC, Snowflake, and Tableau.
• Exposure to cloud platforms like AWS, Azure or GCP is beneficial.
• Experience as a Data Engineer or in a similar role, knowledge of data warehousing concepts and experience with data models, relational database systems and ETL/ELT integration processes, and experience with programming languages like SQL or Python.
• Relevant certifications (Informatica, AWS Data Analytics, Azure Data Engineer) are advantageous but not required.
• Attention to detail, ensuring clarity and accuracy in data handling and documentation, experience with version control systems like Git is a plus.
  Basic understanding of data quality principles and the ability to assist in translating data into actionable insights for stakeholders.
• Awareness of evolving data security best practices and regulatory compliance standards
  Solid communication and presentation skills, capable of delivering technical information to both technical and non-technical audiences.
• Required - Bachelor's degree in Data, Business, Finance, Information Management, or equivalent work experience.
• Preferred Hands on experience with cloud technologies like Informatica IDMC, Snowflake, and Tableau. Exposure to cloud platforms like AWS, Azure or GCP is beneficial.
• Experience as a Data Engineer or in a similar role, knowledge of data warehousing concepts and experience with data models, relational database systems and ETL/ELT integration processes, and experience with programming languages like SQL or Python.
• Relevant certifications (Informatica, AWS Data Analytics, Azure Data Engineer) are advantageous but not required.
• Attention to detail, ensuring clarity and accuracy in data handling and documentation, experience with version control systems like Git is a plus.
• Basic understanding of data quality principles and the ability to assist in translating data into actionable insights for stakeholders.
• Awareness of evolving data security best practices and regulatory compliance standards
  Solid communication and presentation skills, capable of delivering technical information to both technical and non-technical audiences.