Mid Data Engineer

October 1

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Logo of WEX

WEX

Fleet payments • Heathcare payments • Travel payments • Virtual payments • Corporate payment solutions

5001 - 10000 employees

Founded 1983

🚗 Transport

💸 Finance

💳 Fintech

💰 $310M Post-IPO Debt on 2020-06

Description

• 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. • 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.

Requirements

• 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.

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