Position title

Wayfair Entry Level Remote Jobs $18/Hour

Description

The Data Engineering crew inside Search & Recommendations helps the improvement of large-scale facts pipelines for system studying and analytical answers associated with unstructured and based facts. You’ll have the possibility to benefit from hands-on experience on all forms of structures withinside the facts platform ecosystem. Your work can have a right-away effect on all programs that our hundreds of thousands of clients engage with each day: seek results, homepage content, emails, auto-entire searches, browse pages, and product carousels.

As a Data Engineer, you’ll be a part of the newly shaped Data Engineering crew and be chargeable for growing a curated facts lake. This position is inherently multi-useful, and the precise candidate will work with Data Scientists, Analysts, and Application groups throughout the company, in addition to all different Data Engineering squads at Wayfair. We are seeking out a person with a love for facts, dealing with ambiguous necessities and the potential to iterate quickly. Successful applicants can have robust engineering talents and verbal exchange and a notion that facts-pushed methods result in out-of-the-ordinary merchandise.

Responsibilities:

  • Drive the design, building, and launching of recent facts models, facts pipelines, and facts merchandise focussed on Search and Recommendations.
  • Helping groups push the limits of analytical insights, growing new product capabilities with the use of facts, and powering system studying models
  • Build cross-useful relationships to apprehend facts and needs, construct key metrics and standardize their utilization throughout the organization.
  • Utilize modern and modern technology in software program engineering, large facts, streaming, and cloud infrastructure

Requirements:

  • Bachelor/Master’s diploma in Computer Science or associated technical problem location or an equal mixture of training and experience
  • 1+ years of applicable work experience withinside the Data Engineering discipline with web-scale facts sets
  • Expertise in as a minimum one object-orientated or scripting language (Java, Scala, Python, etc. ) and cushty operating with SQL
  • Experience with large facts technology & gear like Hadoop, Spark, Hive, Presto, Airflow, etc.
  • Experience in cloud structures along with GCP the use of technology like Big Query, Dataproc, GCS, Cloud Composer, Dataflow or associated technology in different cloud structures like AWS, Azure, etc.
  • Familiarity with Bl gear like Looker, Tableau, AtScale, PowerBI, or any comparable gear. (preferred)
  • Strong know-how of algorithms, facts structures, facts architecture, and technical designs.
  • Excellent verbal exchange and presentation talents.



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