Data Engineer - HYBRID - Newark, NJ - 6+ RTH Opportunity

Atlantic Partners Corporation company

Subscribe to our Telegram & Twitter Channel

Data Engineer - HYBRID - Newark, NJ - 6+ RTH in NEW YORK CITY METROPOLITAN AREA

Visa sponsorship & Relocation 1 year ago

Our Direct client is seeking for Data Engineer for a 6+ month contract with possible hire/extensions. This is a HYBRID role opportunity - (3 days/wk) in Newark, NJ. Please note we do not disclose the name of the clients unless we are submitting the resume.

The ideal candidate must have experience building ETL pipelines to transform raw data into format suitable for analysis (hands on experience working with ETL tools like AWS Glue, Informatica etc.) and orchestrate transformation (using Airflow, other DAG tools).

The client will hire over a couple of MS Teams Technical Video Assessments.

We can work on W2 Preferred or Incorporated C2C (Greencard Holders or Citizens) – No Third Parties/Employers/Referrals no offshore resources - Must be currently located in the NY Tri State area – (the manager is not considering candidates that are out of area or open to relocation).

In order to review your resume, please send belem@atlanticpartnerscorp.com in ONE EMAIL an updated word copy of your resume along with:

Full Legal Name:

Current Location (City, State, Zip Code):

Cell Phone Number -----

Email -----

Visa Status:

Attach Copy of the DL and/or Visa ID:

Working: Yes/No:

LinkedIn Profile with picture!:

Education (Name of the University, Country and year of graduation):

Rate:

ONSITE DAY ONE in Newark, NJ – (Yes/NO):

Title: Data Engineer

Location: Newark - NJ. (Hybrid 2-3 days onsite per week)

Target Start Date: ASAP

Years of Experience: Level 3 (5<10 Years)

Right to hire: YES


Requirements:

  • Data ingestion from various on-prem and cloud sources
  • Ability to build ETL pipelines to transform raw data into format suitable for analysis (hands on experience working with ETL tools like AWS Glue, Informatica etc.) and orchestrate transformation (using Airflow, other DAG tools)
  • Experience working with big data technologies and data formats (e.g., Parquet, Delta, Iceberg)
  • Expertise in Python, Spark and SQL programming languages
  • Strong experience working on cloud platforms (AWS, Azure)
  • Proven track record of enterprise data modeling including building schemas for data warehousing
  • Knowledge of real-time data streaming and real-time analytics
  • Knowledge of Microsoft suite of tools is desired (Power BI, Synapse suite of analytics tools, Azure Data Factory)

Apply now

Subscribe our newsletter

New Things Will Always Update Regularly