Data Engineer, Fictiv
$110-129k
Global manufacturing and supply chain company
Job no longer available
Global manufacturing and supply chain company
201-500 employees
Job no longer available
$110-129k
201-500 employees
Company mission
To simplify sourcing for customer manufacturing.
Role
Who you are
- Have proven experience working with large and complex datasets and are comfortable writing queries directly or utilizing BI tools. Experience with Snowflake, Sigma, and Heap is a bonus
- Extensive knowledge of BI concepts and database query languages (i.e. SQL or Python), dimensional modeling, data warehouse design, dash-boarding)
- Ability to build and optimize datasets and data pipelines
- Ability to perform root cause analysis on internal processes and data to identify opportunities for improvement and answer questions
- Excellent analytic skills associated with working with structured and unstructured datasets
- Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
- You are a clear communicator. You can provide business context for engineers as well as highlight technical challenges for non-engineers
- Ability to present to groups of mixed technical ability
- Comfortable not knowing answers, but resourceful and able to resolve issues
- Willing to learn and understand new ways of doing things
- Graduate in Data Science, Data Analysis, or a related field
- 3 years experience as a Data Engineer using BI tools
- 2 years of providing complex analysis reports in any one of finance, sales, marketing, logistics, user adoption or similar fields
- Experience with Snowflake, Redshift, Heap, Fivetran and SigmaComputing (or similar BI tools such as Tableau, Looker or Quicksight)
- Proven experience working with complex datasets and writing SQL queries with multiple levels of CTEs directly
- Extensive knowledge of BI concepts (regressions, sliding window functions, financial metrics, marketing funnel metrics, logistics and fulfillment metrics)
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Experience with leading and coordinating cross-functional initiatives, conducting interviews and performing analyses to create business cases for projects
- Experience performing live training sessions for internal and external stakeholders during system and process implementation
- Experience using Salesforce, Marketo, Netsuite or similar core business systems
- Must have strong communication skills and possess the ability to interact effectively with co-workers
- Must have strong leadership skills
What the job involves
- The Data Engineering & Analytics team develops a centralized data warehouse and produces reports and dashboards for Fictiv, that are to provide strategic insights that impact multiple functional areas including: Operations, Finance, Sales, Marketing, Engineering, Product, Architecture, and Customer Support
- The Data & Analytics team partners closely with cross functional stakeholders to ensure that data is accurate, timely, secure and has properly managed change control
- As a Data Engineer for the data team, you will support the Data Engineering Lead, Data Analysts and Product Owners in the everyday management of our data warehouse
- You will serve as a facilitator between the business and technology in understanding the technical requirements and ensure that solutions address the business problems
- Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management
- Responsible for monitoring, alerting and on-call duties for all data warehouse operations
- Follow and contribute to SQL coding standards, change control practices, and data warehouse practices
- Collaborate with Software Engineering and Product Owners to ensure changes to event implementations are gracefully handled in the data warehouse
- Available to work with remote teams
- Research, Diagnose, and Monitor performance bottlenecks
- Document development that is to be moved to production
- Assemble and modify large complex datasets to meet business requirements
- Identifying, designing, and implementing internal process improvements for greater scalability, optimizing data delivery and automating manual processes
- Building BI reports to utilize datasets to provide actionable insights into key business performance metrics including operational efficiency
- Create data tools for analytics and data team that assist in building and optimizing our product into an innovative industry leader
- Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
Our take
Fictiv is a digital manufacturing ecosystem that enables companies all over the world to acquire parts and components quickly. Its digital platform and global partner network provide a powerful palette of features, with the company positioning itself as the Amazon Web Services of hardware.
Also on offer from Fictiv is 3D printing, with the platform taking advantage of a range of technologies in this area. This makes it possible for businesses to obtain production-quality parts, without having to invest in tools and expertise.
The company has also leveraged technology in order to provide customers with access to a wide range of capabilities through components. With the 3D printed materials market set to reach $18 billion by 2030, Fictiv is well-placed to benefit from this significant growth, especially following its significant investment in accelerating product innovation.
Steph
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2022
$100m
SERIES E
Feb 2021
$35m
SERIES D
Total funding: $193m
Company benefits
- Monthly virtual work stipend
- Wellness perks
- Paid volunteer days
- Learning and development stipend
- Paid parental leave
- Equity options
Company HQ
West Oakland, Oakland, CA
Leadership
Dave Evans
(Co-Founder & CEO)Alongside serving as Fictiv's CEO, Dave is also the CEO of MISUMI USA. He is also an Executive Board Member at Fast Company, a Manufacturing Industry Contributor at Forbes Technology Council, and a Member of the Advanced Manufacturing Group at the World Economic Forum. Previously, he served as a Lead Hardware Engineer at Ford Motor Company.
Nathan Evans
(Co-Founder & Head of Climate/AI)Nathan earned a BA in International Relations and an MA in Chinese from Stanford University. He then worked briefly at Microsoft as an Area Marketing Manager. He also founded Citizens of Wine and worked as an Associate at Seven Hills before co-founding Fictiv in 2013.
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