As a  Lead Software Engineer  on the Automotive Client Insights nVision Product Team at Dealer.com, you will be a leader on the team that designs and develops robust and scalable analytics processing applications. You will implement data access services that operate with maximum throughput and minimum latency.

You will be an accomplished, well-rounded developer with a solid understanding of the appropriate use of best practices and frameworks for high volume data processing and analytics. You will mentor junior engineers on good software practices. You will be passionate about exploring the use of innovative technologies and techniques and evaluating them for suitability in our environment.

Your Role:

• Ability to work within a dynamic team committed to excellence.
• Lead projects and product teams to use accepted technologies and patterns.
• Lead in technical reviews to mentor team and ensure product standards.
• Responsible for participating in the development of new and other team members in completing task and provide guidance.
• Passionate developer with an innovative mindset.

• Design and develop code that consistently adheres to good programming practices.
• Design, develop, and maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop
• Design and maintain schemas in our analytics database.
• Excellent in writing efficient SQL for loading and querying data.
• Foresees capacity requirements for component usage and identifies limitations.
• Recommends viable solutions to processes, technology, and interfaces improving the effectiveness of the team and reduce technical debt.
• Collaborate with product managers and technologists to solve business problems.
• Lead and Mentor junior engineers with all aspects of software development.
• Solid listening skills, ability to be flexible and open minded to all ideas.
• Excellent verbal and written communication skills
• Live by Agile (particularly Scrum) principles and collaborate with team members using Agile techniques including test driven development, code reviews, and retrospectives.
• Maintain Cox Automotive position as an industry leader by exploring innovative technologies, languages, and techniques in the rapidly evolving world of high-volume data processing.

Technologies We Use:

• Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React / Redux), MicroStrategy
• Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures
• DevOps Tools : Terraform or Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions
• Database : MySQL, Vertica, DynamoDB
• Stream Processing : Kafka, Spark Streaming, Kinesis

What We Look For:

• Ability to work within a dynamic team committed to excellence.
• Leader as team contributor to active discussion, meetings.
• Solid listening skills, ability to be flexible and open minded to all ideas.
• Excellent verbal and written communication skills
• Commitment to working in an Agile environment and upholding its principles.
• Passionate technologists with an innovative mindset
• Strong Java or Scala skills and UI skills
• Experience with designing and implementing high volume data processing jobs is a required.
• Working knowledge of Spark on EMR is a preferred.
• Strong database development skills, including advanced SQL, relational and NoSQL database technologies.
• Experience with AWS technologies are required.
• Strong analytical and problem-solving skills with an understanding of common mathematical principles used in statistical analysis.
• Proven ability to work independently designing, developing, and deploying solutions with minimal direction.
• Experience designing and developing platform level components including event architectures, messaging, and caching is a plus.
• Experience writing frontends, particularly in JavaScript, is preferred.

Qualifications Required:

• Bachelor’s degree in Computer Science, Engineering, or related discipline and 6 years’ experience in a related field. The right candidate could also have a different combination, such as Master’s degree and 4 years’ experience, P.h.d. and 1 year of experience; or 18 years’ experience in a related field.
• 6+ years of professional application development experience with a proven ability to deliver projects on time.