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Python Developer
Python DeveloperBCforward • Jersey City, NJ, United States
Python Developer

Python Developer

BCforward • Jersey City, NJ, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Hi,

  • Candidates must be able to work onsite from day 1
  • Presently we are unable to sponsor and request applicants to apply who are authorized to work without sponsorship
  • Candidates must be able to work on the BCForward W2 without a vendor or employer

W2 Position - No C2C Please

Job Title : Python - Intermediate / Data Engineer - Python

Location(s) : Jersey City, NJ 07310

Contract to Hire (Y / N) : Y - 5+ years of experience

Hybrid Schedule : 5 days onsite

Contract to Hire - Only W2. no C2C resumes please

Must Have : Python & Spark

Snowflake

CI / CD knowledge

Data Pipeline Concepts

AWS Cloud Knowledge

Data Warehousing Concepts.

Data Engineer III - Python / Spark / Data Lake you will be a seasoned member of an agile team, tasked with designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. Your responsibilities will include developing, testing, and maintaining essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve the firm's business objectives.

Job responsibilities

  • Supports review of controls to ensure sufficient protection of enterprise data.
  • Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request.
  • Updates logical or physical data models based on new use cases.
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace.
  • Adds to team culture of diversity, opportunity, inclusion, and respect.
  • Develop enterprise data models, Design / develop / maintain large-scale data processing pipelines (and infrastructure), Lead code reviews and provide mentoring thru the process, Drive data quality, Ensure data accessibility (to analysts and data scientists), Ensure compliance with data governance requirements, and Ensure business alignment (ensure data engineering practices align with business goals).
  • Supports review of controls to ensure sufficient protection of enterprise data
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