Software Engineer

Ford

29d

About The Position

Design, code, test, correct and document programs and scripts using agreed standards and tools to achieve a well-engineered result Derive an overall strategy of data management, within an established information architecture that supports the development and secure operation of existing and new information and digital services Plan effective data storage, security, sharing and publishing within the organization Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks Ensures data quality and implements tools and frameworks for automating the identification of data quality issues Collaborate with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings Mentor and lead data engineers providing technical guidance and oversight Provides ongoing support, monitoring, and maintenance of deployed products Established and active employee resource groups

Requirements

• 5 or more years of experience as data/software engineer
• Bachelor's Degree in Technology (Master's Degree preferred)
• Expertise in at least two of the following general purpose programming languages: Java/Scala/Python/SQL
• Experience designing data architecture for multiple database models such as Relational DBMS, Document, Columnar and Key-Value Data Stores
• Experience writing code in multiple programming language paradigms such as Object-Oriented and Functional Programming Languages
• Big Data development experience on one or more cloud Platforms. GCP is plus.

Responsibilities

• Design, code, test, correct and document programs and scripts
• Derive an overall strategy of data management
• Plan effective data storage, security, sharing and publishing
• Gathers and processes raw, structured, semi-structured, and unstructured data
• Ensures data quality and implements tools and frameworks for automating the identification of data quality issues
• Collaborate with internal and external data providers on data validation
• Mentor and lead data engineers providing technical guidance and oversight
• Provides ongoing support, monitoring, and maintenance of deployed products

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees