- Creating optimized data pipelines using Qlik Replicate, Fivetran, custom code using Python, and Snowpipes
- Working with stakeholders to understand business requirements and then implement SQL-first transformation workflows to deploy analytics code using dbt (data build tool)
- Designing efficient data marts that are catered towards the needs of very specific business units, functions, or departments
- Are a strong critical thinker with analytical and problem-solving abilities
- Are self motivated and able to work independently with minimum supervision
- Bring thought leadership to your area of responsibility and enjoy staying ahead in your field
- Solid understanding of dbt to perform data transformation tasks (3+ years)
- Strong understanding of data design principles and dimensional data modeling (2+ years)
- Advanced SQL skills (3+ years) and understanding of query optimization strategies in Snowflake
- Fundamental understanding of DAGs and operators in Airflow, with 1+ years of hands-on experience with action and sensor operators
- Fundamental understanding of Docker and deploying code as a container
- Solid understanding of basic programming concepts in Python or similar modern languages (2+ years)
- Solid understanding of Qlik Replicate and Enterprise Manager with 1+ years of experience managing endpoints and streaming CDC (change data capture) tasks
- Solid understanding of Fivetran with 1+ years of experience ingesting files and SaaS (e.g. Salesforce, Workday) data sources
- Fundamental understanding of the following AWS services:
- Elastic Compute Cloud (EC2) - performance monitoring & optimization and knowledge of instance types
- Virtual Private Cloud (VPC) - provisioning of virtual networks and all its basic components (security group, network access control list, route tables, subnet, etc.)
- Elastic Container Registry (ECR) - deploying of application images and artifacts
- Elastic Map Reduce (EMR) - managing and running PySpark code in a distributed processing framework; including troubleshooting and cluster optimization
- S3, IAM, Secrets Manager, AWS CLI
- At least 5 years of experience as a Data Engineer creating data pipelines using tools and custom code
- At least 3 years of experience with dbt (or similar tool) developing complex data models using macros and Jinja
- BS in a technical or quantitative field; or you can make us feel intensely confident that you don't need one
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Senior Data Engineer, Full Stack - Portland, United States - WEX
Description
About the Team/RoleWe are seeking an experienced Data Engineer to play a critical role in the development of WEX's data & analytics capabilities. You will be part of an organization focusing on the development and delivery of data solutions and capabilities for WEX's data platform. You'll be part of a team that is responsible for:
The successful candidate is motivated by thinking big data, is technically proficient, and enjoys working in a fast-paced environment. You care deeply about the veracity (i.e. consistency, accuracy, quality, and trustworthiness) of data. You enjoy designing, maintaining, and optimizing data pipelines & infrastructure, for data collection, management, transformation, and access. You also enjoy understanding complex business requirements and translating them into data models for the end users.
How you'll make an impact
Bonus: You have successfully implemented CI/CD using Jenkins or Github Actions in a production environment.
Experience you'll bring
Salary Pay Range: $100.000,00 - $133.000,00