Data Engineer

Note: Only candidates who can work on W2 can apply.

Qualifications for Data Engineer:
• Strong python programming skills, expert level on using Python to process Big Data;
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Extensive Experience on Databricks on Azure Cloud platform, deep understanding on Delta lake, Lake House Architecture.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with Data Visualization Dashboard, Metrics and etc, experience on Tableau, Power BI or Looker tools;
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Familiar with Deployment tool like Docker and building CI/CD pipelines.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• experience in software development, Data engineering.

Top 3 Skills Needed or Required: Python, Advanced SQL and Databricks

It will be a hybrid project in Sunnyvale, CA with 3 days onsite and 2 days remote work.