Data Engineer

About the role

We are looking for experienced Data Engineer to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder using Python and data wrangler who enjoys optimizing data systems and building them from the ground up.

What you'll do

• Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements using Python and…
• Identify, design, and implement internal process improvements through automating manual processes using Python, optimizing data delivery
• Build the infrastructure required for optimal extraction, transformation
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

What you need

• 3–6 yrs of experience
• SQL
• Python
• ETL
• AWS
• Pandas
• Snowflake
• Any graduate

Good to have

• NumPy
• Root cause analysis
• Data structures
• SQL Server
• NoSQL
• PostgreSQL