Location
Bentonville, AR | United States
Job description
Data Engineer x 3
Location - Bentonville, Arkansas (Can be remote on contract but must relocate upon conversion)
CTH 3-6 month contract to hire
Candidates without sponsorship
Must Have's
Python on Spark
Airflow or SQL
SR/Lead candidates that are mentoring or leading, less experienced team members
Description
We are looking for a Data Engineers to join our growing team of engineering experts in Finance Data Factory. The hire will be responsible for building, expanding and optimizing our data and data pipeline architecture including helping to build new FDLH platform, as well as optimizing data flow and collection for cross functional teams.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building new data platform from the ground up. The Software Engineer will support our engineers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent in FDLH. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of re-designing our data architecture to support our next generation of products and data initiatives.
- Create and maintain optimal data platform and pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP 'big data' technologies.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and GCP regions.
- Create data tools for analytics team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
About the Team: Finance Data Factory - Engineering
- We help manage this data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in real-time. We also use cross-departmental data and machine learning to build a holistic view of true profitability, saving millions of dollars across item categories and geographies while assisting our leadership in making better decisions faster. Finance Data Factory - Engineering
What you'll bring:
- Advanced working SQL knowledge and experience working with relational databases, Big Query, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing 'big data' data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 6 to 8 Years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Requirement:
- Bachelor's degree in Computer Science or related field or equivalent combination of industry-related professional experience and education
Job tags
Salary
