AIML Data Engineer Role

Sysmind LLC


Job Location:

Sunnyvale, CA - USA

Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

Title :: Data Engineer

Location :: Sunnyvale CA

What You Will Do:

  • Perform root cause analysis on processes and data to identify opportunities for improvement and answer questions
  • Build processes that support data transformation workload management data structures dependency and metadata
  • Perform data validation checks identify and rectifying errors and maintaining a quality standard throughout the datas lifecycle.
  • Explore datasets to identify trends patterns and insights.
  • Perform analysis for stakeholders and other non-technical professionals. Build models to generate actionable insights for making efficient business decisions.
  • Build data pipelines that clean transform and aggregate data from disparate sources
  • Work with data to solve business problems building and maintaining the infrastructure to answer questions and improve processes
  • Streamline data science workflows adding value to our product offerings and building out the customer lifecycle and retention models
  • SQL proficient (Snowflake) Tableau Able to do prompt engineering
  • DL (data lakes) ingest the data and transform
  • be able to deal with large volumes of data
  • ML classification anomalies annotation prediction

Expectations from Engineer

  • Create and improve data visualization tools like Tableau & ThoughtSpot
  • Work with Snowflake & its built in infrastructure SQL Python Excel & Numbers
  • Experience presentation/project management Tools like Quip Keynote Miro Slack
  • Experience and understanding of machine learning tools
  • Experience and understanding of machine learning tools like data robot
  • Project Management experience
  • to provide support to a wide variety of business teams
  • Good Interpersonal relationship building communication and presentation skills
Title :: Data Engineer Location :: Sunnyvale CA What You Will Do: Perform root cause analysis on processes and data to identify opportunities for improvement and answer questions Build processes that support data transformation workload management data structures dependency and metadata Perfo...