Job details

Data Engineer

FORTNA partners with the world’s leading brands to transform omnichannel and parcel distribution operations. Known world-wide for enabling companies to keep pace with digital disruption and growth objectives, we design and deliver solutions, powered by intelligent software, to optimize fast, accurate and cost-effective order fulfillment and last mile delivery. Our people, innovative approach and proprietary algorithms and tools ensure optimal operations design and material and information flow. We deliver exceptional value every day to our customers with comprehensive services and products including network strategy, distribution center operational design and implementation, material handling automated equipment, robotics and a comprehensive suite of lifecycle services.

The Data Engineer is a key member of the Fortna Warehouse Execution System (WES) data team that design usable data models and build robust & dependable data pipelines where both batch & streaming process are leveraged to meet the latency requirements for the business. This position plays a vital role in building the Data Platform, Business Intelligence and Data product capability of the FortnaWES software product.

Evaluate business and technical domains to produce representative logical and physical data models
Build data models with the flexibility to change when business requirements change
Reconcile multiple logical source models into a single, logically consistent enterprise model
Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive business growth and improve the product experience
Develop data stores, including warehouses, data lakes, data marts, etc., to support the BI and operational research initiatives
Build scalable data pipelines leveraging orchestration framework
Improve data quality by researching, using, and improving tools to automatically detect issues
Employ initiative, professionalism, and self-discipline in daily interactions

Qualifications:

Two to three years of relevant industry experience
Bachelor’s and/or master’s degree, preferably in Computer Science, or equivalent experience
Proven capability for managing data migrations between software products and custom apps
Experience with pipeline tools such as Nifi, Airflow
Experienced with Extract-Transform-Load (ETL), Extract-Load-Transform (ELT), and Discover-Access-Distill (DAD) processes
Experience in multidimensional data modeling, start schemas, snowflakes, normalized and de-normalized modes, and Kimball methodologies
Ability to communicate in a written, spoken, or visual manner at all personnel levels
Experience in deploying dbt/airflow workflow is a plus

DESIRED QUALIFICATIONS:

Demonstrated real-world execution implementing data warehouses and data lakes
Familiarity working with open-source Linux-based technologies
Verifiable record of building an enterprise analytics capability from greenfield

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This job description describes the general nature and level of work expected of a person assigned to this position. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. Employees may be required to perform any other job-related duties as requested by their supervisor.

It is the policy of FORTNA and its affiliated companies to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, pregnancy or pregnancy-related condition, status with regard to public assistance, veteran status, citizenship status (if authorized to work in the U.S.), or any other characteristic protected by federal, state or local law. In addition, FORTNA will provide reasonable accommodations for qualified individuals with disabilities.

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