Mid Data Engineer
Brazil - Remote Office
WEX
WEX is the global commerce platform for fuel and fleet, employee benefits, and business payments. Simplify your business and let WEX handle the complex.About the Team/Role
We’re the Data Platform team. We are the core data infrastructure and workflow group at the company, working with cutting-edge cloud data technologies. Our team works hard, covers for one another, and maintains work-life balance. We own our results and we take pride of ownership in everything we do.
As a Data Engineer at WEX, you’ll be responsible for building and maintaining the bridge between our data and the rest of the organization. You’ll work with stakeholders to understand business requirements and then implement SQL-first transformation workflows to deploy analytics code.
You’ll help ensure the integrity, reliability, and usability of data for stakeholders, so they can make critical data-driven decisions. You’ll be part of a collaborative scrum team that consists of an Agility Engineer, Technical Program Manager, Integrated Data Engineers and DevOps. You’ll also be supported by a manager that is here to listen and help you grow.
Our team of professionals works hard, covers for one another, and maintains a work-life balance. We own our results and we take pride in ownership in everything we do.
Changing the world isn’t easy, and we have a lot of work ahead of us. From new product features to automation, to supporting microservices, we’ve got more work than we can handle and we’re looking for great people to come along for the ride.
How you’ll make an impact
Design and Implement data driven strategies that transform processes to enable efficiency and scale
Create new process flows to implement Artificial Intelligence and Machine Learning
Translate data transformation strategies into implementation plans, then execute on those plans to deliver requirements
Respond to changing business requirements by adapting data stores to address current business conditions
Work collaboratively with the Data Engineering team to create data streams from WEX source systems into the Data Platform
Collaborate on, and implement solutions that enable Analysts to leverage Data Science tools and applications to drive improvements
You’ll be part of a collaborative scrum team that consists of an Agility Engineer, Technical Program Manager, Data Engineers, QA, and DevOps. You’ll also be supported by a manager that is here to listen and help you grow.
Experience you’ll bring
Have a BS or MS in a relevant field OR can make us feel intensely confident that you don’t need one
Creating optimized data pipelines using any one of integration tools like Informatica IICS, Qlik Replicate, Fivetran, custom code using Python, and snowflake Snowpipes
Working with stakeholders to understand business requirements and then implement SQL-first transformation workflows to deploy analytics code using dbt (data build tool)
Creating efficient data marts that are catered towards the needs of very specific business units, functions, or departments
Have a BS or MS in an engineering field OR can make us feel intensely confident that you don’t need one
Solid development experience in Data Engineering
Great experience working on Snowflake database ( Loading and Unloading using Copy Into & Snowpipe, tasks, RBAC, Zero copy Cloning etc)
Great experience working on DBT to perform data transformation tasks
Experience working with Python
Experience working with SQL
Great experience working with ETL tools like Informatica IICS, Talend etc
Good understanding of data design principles and dimensional data modeling
Good SQL skills and understanding of query optimization strategies in Snowflake
Fundamental understanding of DAGs and operators in Airflow, with hands-on experience with action and sensor operators
Fundamental understanding of Docker and deploying code as a container
Good understanding of basic programming concepts in Python or similar modern languages
Understanding on integrating structured /unstructured data ,flat files and SaaS (e.g. Salesforce, Workday) data sources using any of the tools like Informatica IICS, Talend ,Qlik, SAS etc.
Have experience with DevOps practices and procedures
Be able to leverage WEX’s Data Platform using documented standards & best practice
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Data pipelines dbt DevOps Docker Engineering ETL FiveTran Informatica Machine Learning Microservices Pipelines Python Qlik Salesforce SAS Scrum Snowflake SQL Talend Unstructured data
Perks/benefits: Career development
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