What are the responsibilities and job description for the Lead Data Engineer position at Princeton IT Services?
Position: Lead Data Engineer
Location: Parsippany, NJ
Employment Type: Contract-to-Hire (C2H)
Important Notes:
We are looking for candidates with strong hands-on experience in Python, Snowflake, and SQL.
Please submit candidates with a core Data Engineering background. Candidates whose experience is primarily focused on Big Data are not a fit for this role.
Before submitting any candidate, please ensure they are comfortable attending the 3rd round of the interview in person at the client's office in Parsippany, NJ.
Job Description
Responsibilities:
Develop, manage, organize, store, and analyze enterprise data and data systems.
Participate in all phases of the software development lifecycle for Snowflake solutions, including planning, development, testing, and QA.
Collaborate closely with engineering teams to design and implement scalable data solutions.
Ensure platform performance, availability, and scalability.
Troubleshoot production issues, identify root causes, and implement preventive measures.
Thrive in a fast-paced, collaborative environment.
Required Skills:
10 years of experience in Data Engineering.
5 years of hands-on experience with Snowflake.
Strong expertise in SQL and Python.
Experience building and maintaining data pipelines.
Hands-on experience with Spark/Scala.
Knowledge of Airflow and/or Informatica.
Familiarity with CI/CD, Git, and Jira.
Location: Parsippany, NJ
Employment Type: Contract-to-Hire (C2H)
Important Notes:
We are looking for candidates with strong hands-on experience in Python, Snowflake, and SQL.
Please submit candidates with a core Data Engineering background. Candidates whose experience is primarily focused on Big Data are not a fit for this role.
Before submitting any candidate, please ensure they are comfortable attending the 3rd round of the interview in person at the client's office in Parsippany, NJ.
Job Description
Responsibilities:
Develop, manage, organize, store, and analyze enterprise data and data systems.
Participate in all phases of the software development lifecycle for Snowflake solutions, including planning, development, testing, and QA.
Collaborate closely with engineering teams to design and implement scalable data solutions.
Ensure platform performance, availability, and scalability.
Troubleshoot production issues, identify root causes, and implement preventive measures.
Thrive in a fast-paced, collaborative environment.
Required Skills:
10 years of experience in Data Engineering.
5 years of hands-on experience with Snowflake.
Strong expertise in SQL and Python.
Experience building and maintaining data pipelines.
Hands-on experience with Spark/Scala.
Knowledge of Airflow and/or Informatica.
Familiarity with CI/CD, Git, and Jira.