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Data Engineer ( Data Scientist)

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Job Description

Position- Data Engineer 

Rate- Only W2

Locations – Plano, TX

Duration- 12+ months contract

Job Description:

Required Skills and Experience:

  • Experience in Telecom/retail/e-commerce/consumer packaged goods (CPG), Mobile or Consumer electronics industries
  • Agile Principles/Scrum/Kanban
  • Solid understanding of Hadoop (Hive and Impala) & Spark (PySpark/Scala)
  • Proficient in (Python/Scala/R/Java ) & SQL
  • Expert in developing and debugging Machine Learning products
  • Proficient in Data Visualizations

Core Responsibilities

  • Follow agile development principles to develop and deploy cutting edge Data Products and POCs using massive sets of structured and un-structured data.
  • Ensure the data product is deployed with through testing and is of highest quality
  • Communicate the results to other members of team in a clear and intuitive manner
  • Interface with leadership and team members regularly to brain storm ideas, communicate progress and risks.
  • Use JIRA and Confluence as tools for Agile Project planning
  • Communicate the progress and results in clear, concise and timely manner with other stake holders

Data - Responsibilities

  • Always looking out for data resources that enhance the model performance
  • Clearly communicate with PMs about acquisition of the data sources
  • Work with team members to develop and design solutions for data products
  • Write code to clean, munge, analyze, EDA, visualize terabytes of data
  • Proficient in EDA and visualizations
  • Proficient in building, testing and deploying scalable and reliable machine learning models
  • Debug the machine learning models with ease
  • Understand the upstream and downstream interface requirements and design the solutions accordingly
  • Get proficient in the in-house Data Science tools
  • Always looking for avenues for automation in data pipelines wherever applicable
  • Get comfortable in following "Data Science team" sprint planning procedures
  • Clearly communicate with DE about deployment requirements
  • Work with DE to get the data in Data Lake in required format.

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