Senior Data Engineer at Pangaea

Pangaea is on a mission to connect consumers around the world with brands they love. We believe that what you buy is an expression of who you are. By empowering brands to reach a global scale, we’re building a smaller, more expressive world. 

We collect and analyze consumer purchase and behavioral data to create premium, international-first brands for the world’s fastest growing e-commerce markets. Our brands are built on a proprietary internationalization platform with competencies across warehousing / logistics, globally distributed performance creative, compliance and payments. 

Since our launch in 2018, we’ve sold our products in 60 different countries. We have grown to over 100 employees and contractors across several locations in the world. Backed by Google’s AI Gradient Ventures, we’re a rapidly growing startup poised to become a leader in the Direct to Consumer industry.

We are recruiting to fill the position below:

Job Title: Senior Data Engineer

Location: Lagos, Nigeria

The Role

• As a Senior Data Engineer, you’ll partner with both Engineering, Product and Analytics to architect and build data pipelines and data systems. 
• Helping to consolidate data across our service oriented architecture into a singular place where we can perform analysis and business intelligence.
• You’ll also develop tools to level up our analytics capabilities, to enable both analysts and stakeholders to better self-serve their data needs.
• You’ll be joining on the ground floor of a high growth startup with huge potential for growth and advancement.

Responsibilities

• Design, develop, test, implement, and support an analytical data infrastructure
• Be responsible for the full life cycle of development, from requirements gathering through ETL coding and report/dashboard design and creation
• Own analysis of brand launches, product releases, and KPIs
• Drive a deeper understanding of the business through exploratory analyses
• Build new tools to enable greater self-sufficiency among analysts and stakeholders
• Uncover trends and insights to drive future growth opportunities

Requirements

• Strong understanding of data processing architecture and infrastructure.
• Experience within the AWS ecosystem, RDS, Lambdas, Redshift, etc
• Experience with Snowflake or another equivalent Data Warehousing tool
• Experience with DBT
• Strong SQL skills and proficiency in at least one programming language; proficiency in R or Python a plus
• Bonus: Experience / opinions on infrastructure as code solutions (terraform, cloudformation, etc)
• Experience developing hypotheses and communicating insights

Some Benefits include:

• Free company products every month

Application Closing Date
Not Specified.