About Fisker Inc.
California-based Fisker Inc. is revolutionizing the automotive industry by developing the most emotionally desirable and eco-friendly electric vehicles on Earth. Passionately driven by a vision of a clean future for all, the company is on a mission to become the No. 1 e-mobility service provider with the world’s most sustainable vehicles. To learn more, visit www.FiskerInc.com – and enjoy exclusive content across Fisker’s social media channels: Facebook, Instagram, Twitter, YouTube and LinkedIn. Download the revolutionary new Fisker mobile app from the App Store or Google Play store.
Hiring multiple levels.
We are looking for a savvy Data Engineer/Data Scientist to join our growing team of analytics experts. The hire will be responsible for 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 scratch. The Data Engineer will support our software developers, database architects, 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.
Job responsibilities:
- Conduct requirement analysis and design source to target mappings
- Architect, Design, develop and unit test data pipelines in Azure Data Factory/Synapse Analytics and Databricks or similar technologies
- Build CI/CD pipelines for data integration
- Assist in building data model & architecture for various layers in the data lake / data warehouse (snowflake etc.)
- Responsible for the design, development, implementation, and support of critical enterprise E2E Business Intelligence ETL solutions
- Provide technical guidance to other internal and external teams
- Assess current processes, recommend, and implement approaches to efficiently handle increasing volumes of data
- Document and communicate technical specifications to ensure that proper and optimized techniques, queries, data standards, and final outputs are understood and incorporated into data and analytics processes
- Participate in business analysis activities to gather required reporting and dashboard requirements
- Handle the product's or project's conception, translate business requirements, design initial technical specifications, and develop data solutions
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Design and develop reports and dashboards with data from potentially multiple data sources
- 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 using SQL and Azure and/or AWS ‘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 Cloud regions.
- 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.
Required Skills & Qualifications:
- 3-5 years of Management consulting experience preferred.
- Candidate should have good understanding of ETL concepts and Expertise and hands on experience in Azure Data Factory, Azure Data Lake Storage and Data bricks or similar technologies
- Hands on experience of working on cloud database tools like Azure SQL Database, Azure Synapse
- Strong SQL, Python and Spark writing skills and good understanding of Data Lake and Data Warehousing concepts including data modeling
- 3-5 years of Knowledge of Azure DevOps and agile methodology desirable
- 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.
- 0-5+ years’ experience in ETL, Data Engineering, or BI fields with concentration on data transformations
- Familiar with Data Visualization standard methodologies (Power BI preferred)
- BS in Computer Science, Engineering or a related technical role or equivalent experience
Fisker Group Inc. is an Equal Opportunity Employer; employment at Fisker Group Inc. is governed based on merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of Fisker Group Inc. Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department.