Transforming the Retail Supply Chain to help retailers stay relevant vs Amazon Prime
Founding Data Engineer$40k – $60k
We are looking for a savvy Data Engineer to join as a founding team member of analytics team at Fenix Commerce. Data Engineer will be responsible for building, expanding and optimizing our data and data pipeline architecture, 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 them from the ground up.
The Data Engineer will support our software developers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. 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 optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Responsibilities for Data Engineer
Create and maintain optimal data 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, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Assist with data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist 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.
Qualifications for Data Engineer
We are looking for a candidate with 5-7 years of experience in a Data Engineer role
Bachelor’s degree required, Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field is preferred
Expert SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
2-4 yrs Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
2-4 yrs 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.
Experience supporting and working with cross-functional teams in a dynamic environment.
They should also have experience using the following software/tools:
Experience with relational SQL and NoSQL databases: MongoDB, Neo4j, Time Series DB like Druid etc
Experience with cloud services: AWS
Experience with object-oriented/object function scripting languages: Python, Java, etc.
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with Data Flow, Data Pipeline and workflow management tools: Cloud Composer, Airflow, Luigi, etc.
Equal Opportunity Employer
Fenix is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.