Responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams
Job Summary
Responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL / AWS / Snowflakes technologies.
Matching Summary
Responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
Skills & Requirements
Must-have
Python and SQL
AWS and Snowflakes
Data pipeline architecture
Optimize data systems
Data flow and collection
Extract, transform, load (ETL)
Nice-to-have
Support cross-functional teams
Data-driven insights
Automate manual processes
Build from the ground up
Key Requirements
3+ years of experience
Bachelor's degree
Advanced working SQL knowledge
Experience with data processing libraries (Pandas, numpy)
Experience with relational SQL and NoSQL databases
Experience with cloud services (AWS, Azure, Snowflake, Google)