Big Data SME/TechLead R&D

Keylent, Inc.

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Big Data technologies with a focus on Hadoop ecosystems
  • Mandatory prior experience in genomics
  • Strong technical expertise in Hadoop (HDFS, Hue, Hive, Impala, PySpark)
  • Hands-on experience in data ingestion and transformation
  • Working knowledge of LINUX commands and shell scripting
  • Proficient in SQL and Python
  • Excellent business communication skills

Responsibilities

  • Lead the technical team in Big Data projects with a hands-on approach
  • Implement data ingestion processes using Hadoop ecosystems
  • Develop and execute data transformation strategies from diverse sources
  • Collaborate with customers directly in a technical capacity
  • Utilize Agile processes for project management
  • Manage multi-vendor collaborations effectively
  • Supervise a distributed team across onsite, offshore, and nearshore models

Benefits

  • Flexibility in working arrangements including Corp-Corp and 3rd party opportunities
  • Possibility of working with a distributed Agile team
  • Exposure to cutting-edge technologies in the genomics field
  • Opportunity to lead and mentor a technical team
  • Engagement in a multi-vendor work environment
Full Job Description
Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Tax Terms: W2, 1099
Corp-Corp or 3rd Parties: Yes

Big Data SME/TechLead - R&D
Prior experience in genomics area is MANDATORY
Philadelphia, PA
• Big Data SME/Technical Lead with hands-on technical skills.
• Proven experience on Hadoop (HDFS commands, Hue, Hive, Impala and PySpark)
• Prior experience in data ingestion using above hadoop ecosystems and data transformation wherever required from discrete sources
• Experience on working with LINUX commands and shell scripting
• Good knowledge on SQL
• Good knowledge on Python
• Good business communication skills
• Should have experience in working in multi-vendor environment and should have worked directly with customers in technical capacity
• Expectation is to work hands-on technically apart from leading the team.
• Extensive experience working with an onsite/offshore/nearshore model with a distributed team using a distributed Agile process.

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