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Data Architect Engineer @ Luminar Technologies

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 Data Architect Engineer

Job Description

Luminar Technologies, Inc. (Nasdaq: LAZR) is transforming automotive safety and autonomy by delivering the only lidar and associated software that meets the industry s stringent performance, safety, and economic requirements. Luminar has rapidly gained over 50 industry partners, including a majority of the top global automotive OEMs. In 2020, Luminar signed the industry s first production deal for autonomous consumer vehicles with Volvo Cars, which now expects to make Luminar s technology part of the standard safety package on their next generation electric SUV. Additional customer wins include SAIC, Daimler Truck AG, Intel s Mobileye, Pony.ai and Airbus UpNext. Founded in 2012, Luminar employs approximately 400 with offices in Palo Alto, Orlando, Colorado Springs, Detroit, and Munich.
For more information, please visit www.luminartech.com .
Team Overview
We are seeking an experienced and technical Data Engineering/Architect to lead our enterprise-level initiative in building reliable and scalable Data Pipelines at Luminar Technologies. The successful candidate will have in-depth experience with Databricks and AWS. Be responsible for driving the design, implementation, and management of data pipelines. Work closely with stakeholders across the organization including business leaders, IT leadership and external partners.
Responsibilities
  • Build data pipelines using Delta Live Table Framework such as Autoloader, Delta Tables (View, Materialized View, Streaming View), Expectation, Workflows, Change Data Capture, SCD, Data Asset Bundle, Python, and Spark
  • Manage internal/external tables & volumes, access control, tagging, comments, and credentials on Unity Catalog
  • Implement DevOps processes on the Databricks platform, harmonize and curate pipelines across all programs
  • Programming and debugging in Python and SQL.
  • Manage Databricks on AWS
  • Help reduce consumption and improve performance issues. Can help build monitoring tools
  • Build and develop RAGs and AI functions in Databricks
  • Define data requirements that determine the different types of data structure needed for a project, such as raw, conform, and consumption data layers. Demonstrating the structure model types such as 3rd Normal Form, denormalized, and dimensionalized structures.
Minimum Qualifications
  • 5+ years of experience in data engineering, data science, technical architecture, or similar roles
  • Bachelor s or master s degree in computer science, Information Systems, or a related field.
  • On-Hands experiences with Databricks, Python, SQL, Spark
  • Knowledgeable of security, privacy, and compliance requirements
  • Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams.
Preferred Qualifications
  • Databricks Certification
  • 10+ years of experience in data engineering, data science, technical architecture, or similar role

Job Classification

Industry: Automobile
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Luminar Technologies
Location(s): Noida, Gurugram

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Keyskills:   Computer science Interpersonal skills Monitoring tools data science spark Debugging Technical architecture Automotive SQL Python

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Luminar Technologies

Luminar (Nasdaq: LAZR) is a global automotive technology company ushering in a new era of vehicle safety and autonomy. For the past decade, Luminar has built an advanced hardware and software platform to enable its more than 50 industry partners, including the majority of global automotive OEMs. Fro...