Data Scientist

3 weeks ago

Redmond, United States netPolarity, Inc. (Saicon Consultants, Inc.) Full time

I would like to set up a time to discuss the potential opportunity below:

Role: Data Scientist

Location: Redmond, WA or Remote

Duration: 1 months


Top 3 Hard Skills Required + Years of Experience

  • Minimum 3-5 years’ experience with | Python.
  • Minimum 2+ years’ experience with SQL.
  • Minimum 3-5 years’ experience with Data modeling.
  • Minimum 5 years’ experience with Big data pipelines.
  • Minimum 3-5 years’ experience with Cloud experience.


Responsibilities:

  • Collaborate with data consumers and stakeholders to understand their data needs.
  • Identify and analyze multi-structured data from a variety of sources to select the most effective and accurate data which fulfills the analytics requirements.
  • Design data models, architect dataflows, and create technical requirements to deliver solutions.
  • Build and maintain automated data pipelines to source and transform data into clean, enriched, and optimized polyglot data models which can evolve with changing needs.
  • Use modern data engineering practices and frameworks to create scalable big data solutions for analytics and machine learning, while ensuring data quality.
  • Write and maintain technical documentation for the data models and analytics solutions.
  • Assist Users with data access tools and documentation to unlock the value of the analytics data.
  • Provide stewardship in the creation, collection, maintenance, and documentation of metadata.
  • Handle confidential information responsibly and correctly apply security and privacy policies.


Qualifications:

  • 5+ years working as a data engineer or equivalent on large enterprise systems.
  • Critical thinker and problem solver who brings a creative and open mindset to each situation.
  • A proven track record building and optimizing big data pipelines for analytic solutions.
  • Data analysis skills to identify, select and prepare quality data for analytics use cases.
  • Experience building enterprise scale data pipelines on Cloud Data Platforms using Spark and Databricks for ETL/ELT, data products, or Machine Learning; Azure preferred.
  • API and application development experience for data access and analytics solutions.
  • Strong Python skills for data processing combined with a pythonic mindset. Proficient SQL.
  • Working knowledge handling logs or event streaming data sources.
  • Working knowledge of DevOps and DataOps including feature planning, version control, multi-environment, CI/CD, data-modeling, automation, governance, and continuous improvement.
  • Video game domain knowledge is important – as an experienced Player or industry veteran.

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