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Job Overview

  • Job ID:

    J38511

  • Specialized Area:

    Data Analyst

  • Job Title:

    Data Engineer

  • Location:

    Englewood Cliffs,NJ

  • Duration:

    12 Months

  • Domain Exposure:

    Retail, Government, Education, IT/Software

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099(C2C)




Job Description

     Job Description:

  • Senior Data engineer with 7+ years of experience in Python, Spark, Hadoop, AWS Cloud and SQL.
  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Advanced working SQL knowledge and experience working with relational databases, data modelling, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing big data pipelines, architectures and data sets.
  • Experience with object-oriented/object function scripting languages: Python etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Highly experienced in Python with experience working with RESTful JSON APIs.
  • Experience developing web application utilizing Flask and Django (or similar web frameworks).

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Equal Opportunity Employer

DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract