Job Description


Job Overview

  • Job ID:

    J37097

  • Job Title:

    Software Engineer - Hadoop

  • Location:

    Hartford, CT

  • Duration:

    12 Months + Extension

  • Hourly Rate:

    Depending on Experience (DOE)

  • 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 Responsibilities:

  • Full lifecycle application development
  • Design, code and debug software
  • Perform software analysis, risk analysis, reliability analysis
  • Participate in software modeling and simulation
  • Integrate new software solutions with existing systems
  • Extract and reverse engineer existing code
  • Work alongside and collaborate with UX and engineering teams to develop new ideas into demo-able products, features, services, and tools utilizing the latest software development stacks and related technologies
  • Have passion for innovation, new ideas, quick prototyping, hackathons etc.
  • Explore and innovate new technologies, features, and tools
  • Have an open-minded approach to development strategy and approaches
  • Actively look for ways to make everything better

Skills and Experience Required:

Required:

  • 4+ years of experience designing technical solutions using object-oriented design concepts
  • 3+ years of experience developing in scripting languages such as Python, Perl or JavaScript
  • Experience on Hadoop (Apache/Cloudera/Hortonworks) and/or other Map Reduce Platforms
  • Experience on Hive, Pig, Sqoop, Flume
  • Experience on NO-SQL – HBase, Cassandra, MongoDB
  • Proficiency working with large data stores
  • Deep understanding of all things “database” - schema design, optimization, scalability, etc.
  • Excellent communication skills
  • Experience in SDLC, especially testing and deployment.
  • Unix-like operating system environment (proficient)
  • Software version control (e.g. git working knowledge or greater)
  • Track record of contributions to open source software projects
  • Be passionate about resolving user pain points through great design.
  • Be open to receiving feedback and constructive criticism.

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Equal Opportunity Employer

MACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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