Data Engineer - AWS | Very Strong with SQL and Python - ONLY W2

Data Engineer - AWS | Very Strong with SQL and Python - ONLY W2

Posted 1 day ago by Magnum Technologies, Inc.

Negotiable
Undetermined
Remote
Remote

Summary: The Data Engineer role requires a highly skilled individual with extensive experience in SQL and Python, focusing on data engineering, data warehousing, and ETL processes. The position is fully remote and is intended for candidates with over nine years of IT experience. The ideal candidate will also have a strong understanding of AWS Cloud and various database technologies. This long-term opportunity emphasizes practical knowledge in data modeling and cloud services.

Key Responsibilities:

  • Utilize over 9 years of IT experience in Data Engineering and Data Warehousing (DWH) and ETL processes.
  • Demonstrate 5+ years of experience with databases such as Oracle and SQL, with a strong proficiency in SQL queries.
  • Apply knowledge of Python in data engineering tasks.
  • Implement data modeling practices.
  • Leverage understanding and experience with AWS Cloud, PostgreSQL, PySpark, AWS Glue, EMR, etc.

Key Skills:

  • 9+ years of IT experience in Data Engineering and DWH.
  • 5+ years of experience with Oracle and SQL databases.
  • Strong proficiency in SQL queries.
  • Experience with Python.
  • Knowledge of data modeling practices.
  • Experience with AWS Cloud, PostgreSQL, PySpark, AWS Glue, EMR.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Position: Data Engineer - Very Strong with SQL and Python

Location: New Jersey 100% Remote

Duration: Long Term

JD:

  • Should have 9+ Years of IT Exp with Data Engineering and DWH, ETL Data Bases.
  • 5+ years' experience working with data bases like - Oracle/ SQL, and Very Strong with SQL Queries.
  • Should have exp with Python.
  • Should know some Data modelling practices.
  • Understanding and Experience with AWS Cloud, PostgreSQL, PySpark, AWS, AWS Glue, EMR etc.