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.
General Role Overview:
Duties and Responsibilities:
Minimum 5 years of Data Engineering and Migration experience in one or more of the following areas (individual areas or combined experience): Cloud Data Modernization, Data Engineering, Data Platforms, Data Integration, Data Migration, Data Governance, Data Strategy, Data Architecture, Master Data Management, Data Modeling,
Has strong solution architecture experience in large complex data management programs.
Strong knowledge and solutioning experience in Azure are preferred - Microsoft Azure Architecture, DevOps, ETL, Datawarehouse, Data Lake architectures, Database platforms such as SQL, MS-SQL, PostgreSQL etc., legacy data system migration to cloud.
Broad experience across a variety of data stores (e. g., HDFS, Azure Data Lake Store, Azure Blob Storage, Azure SQL Data Warehouse, Apache HBase, Azure Document DB), messaging systems (e.g., Apache Kafka, Azure Event Hubs, Azure IoT Hub) and data processing engines (e. g., Apache Hadoop, Apache Spark, Azure Data Lake Analytics, Apache Storm, Azure HDInsight).
Develop processes for loading and transforming of large volumes of structured and semi-structured data.
Responsible for data architecture, data modeling and data governance to implement high-performance, highly secure solutions.
Participate in data warehouse development by defining metadata and security standards.
Perform a variety of tasks to facilitate completion of projects including but not limited to coordinating communication with outside departments, writing documentation and specifications, testing, and consulting.
Must Have:
Expert Python and SQL Skills is a must.
Job Specification:
Minimum Qualifications:
Bachelor's degree in computer science or computer engineering.
5+ years of hands-on system software design and development experience on Data and Analytics solutions.
Master's degree in computer science or computer engineering preferred.
Marketing and Automotive Experience Preferred.
Knowledges, Skills, Abilities, Competencies
Strong stakeholder and client management skills and experience
Strong analytical, interpersonal and collaboration skills
Good written and communication skills
Strong verbal and written communication skills.
Must be comfortable with operating in a fast-paced, startup environment.
Additional Requirements
Salary Range for Job Posting: 74,900.00 to 208,650.00
Additional compensation : Salary is one part of total compensation which includes bonuses, equity awards as applicable, and benefits. An employee is eligible to participate in Fisker's equity program, subject to the rules governing such programs.
Benefits: Fisker provides comprehensive medical, prescription, dental, vision, and disability insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26.
Coverage is effective on the first day of employment, and Fisker covers most of the premiums for employees.
The salary offered may vary depending on multiple individualized factors including market location, job-related knowledge, education/training, certifications, key skills, experience, internal peer equity as well as business considerations. Fisker reasonably and in good faith expects to pay for the position within the salary range listed, taking into account the wide variety of factors listed above.
Fisker Inc. is an Equal Opportunity Employer; employment at Fisker 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.
#LI
#TS1