5-7 years of experience in data engineering or related field
Proficiency in SQL, particularly with Snowflake
Experience with data visualization tools like Tableau and ThoughtSpot
Familiarity with machine learning tools and methodologies
Strong project management skills
Ability to communicate technical information to non-technical stakeholders
Experience handling large datasets and performing data transformations
Responsibilities
Analyze data processes to uncover improvement opportunities
Develop and implement data transformation processes
Ensure data quality through validation checks and error rectification
Extract insights by exploring datasets and recognizing trends
Generate actionable models to support business decision-making
Construct robust data pipelines for data cleaning and aggregation
Enhance data science workflows to improve product offerings
Benefits
Collaborative work environment
Opportunities for professional development
Access to advanced data engineering tools and technologies
Support for project management and team collaboration
Flexible work arrangements
Full Job Description
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 data's 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 & it's 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
