Python Data Engineer (BBBH1684700) Jersey City, New Jersey

We have partnered with our client in their search for a Python Data Engineer for a contract to hire opportunity in Jersey City, NJ.
As a Data Engineer III - Python / PySpark / 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 architecture across diverse technical areas, supporting various business functions to achieve the firm's business objectives.


Responsibilities

  • Formal training or certification on data engineering concepts and 2+ years’ applied experience
  • Experience across the data lifecycle, advanced experience with SQL (e.g., joins and aggregations), and working understanding of NoSQL databases
  • Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Extensive experience in AWS, design, implementation, and maintenance of data pipelines using Python and PySpark.
  • Proficient in Python and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional).
  • Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck.
  • Knowledge of data governance and security best practices.
  • Experience in carrying out data analysis to support business insights.
  • Strong Python and PySpark
     

Skills Required

  • Python & PySpark
  • Snowflake
  • CI/CD knowledge
  • Data Pipeline Concepts
  • Data Warehousing Concepts

Nice to Have Skills

  • AI/ML knowledge
  • AWS Cloud Knowledge
  • Databricks
  • NoSQL Database.


Education & Work Experience

  • Bachelor’s Degree
  • 3+ years of Experience


Title: Python Data Engineer 
Location: Jersey City, NJ
Client Industry FinTech
Compensation $55-65/hr