Dev Lead - Data Engineering, Inc.Torrance, CA6 days ago
What We Do
As a tech-forward company, is transforming the way drivers shop for auto parts to benefit today’s digital consumer. Leveraging our company-owned national distribution network, we bring the very best brands and manufacturers directly to consumer hands, cutting out unnecessary costs to provide quality parts at a discount. Through our simple, convenient, and mobile-intuitive website, enables consumers to connect with the parts they need to keep their vehicles on the road.

Our Culture
At the heart of everything we do is a collective drive to serve, succeed, and grow. To achieve this, we’ve focused on building a community that works together, inspires each other, and thrives in an environment where employees are empowered and valued. All the hard work of our entire team has resulted in back-to-back record-breaking quarters for Q1 and Q2 of 2020, as well as our inclusion in the Russell 2000® Index and the LABJ's top 100 Best Places to Work in Los Angeles list for 2020. Join us!

  • Lead an Analytics/Software Engineering team to design, develop and deliver analytics features and enhancements.
  • Write code and perform code reviews.
  • Communicate effectively with various stakeholders in the organization.
  • Refine and summarize business requirements and clearly communicate data analysis assumptions and results.
  • Build data pipelines and production dashboards for the team.
  • Ensure team is organized and focused on the right tasks to deliver sprint commitments.
  • Design scalable and performant technical solutions capable of handling large data sets, complex analytics and multiple users.
  • Identify project risks and work with the team to address them in a timely manner.
  • Develop solutions to complex problems.
  • Team player and collaborator with the ability to mentor junior team members.
  • Ability to act as a servant leader to the team.
  • Ability to be adaptable and flexible.
  • Ability to resolve conflicts timely without affecting team morale.
  • Hungry but humble.
  • Strong work ethic.
  • High degree of accountability and ownership.

  • 6+ years of experience in designing and developing Business Intelligence/Analytics solutions.
  • 6+ years of combined programming experience with at least 4 years of Python experience.
  • 4+ Experience working with large data sets, data analysis, data architecture, and building data pipelines.
  • 2+ years of experience with Hadoop and Spark.
  • Proficient with libraries such as Pandas.
  • Experience working with MS SQL Server 2008+ and MySQL including writing queries, stored procedures, creating tables, indexes and foreign keys and query tuning and optimization.
  • Experience working with ORM frameworks (such as SQLAlchemy).
  • Experience working with Git.
  • Experience with CICD environments (such as Jenkins).
  • Experience with Docker containers and deployments to AWS or Google Cloud.
  • Experience implementing N-tier architecture designs in distributed environments.
  • Experience architecting projects with a Test-Driven Development approach to deliver high code coverage.
  • Experience integrating to APIs.
  • Exposure to Business Intelligence tools (MicroStrategy, Tableau, Power BI, or Looker).
  • Experience with BigQuery and the rest of the Google Cloud big data suite is a plus.
  • Experience with MongoDB is a plus.
  • Experience with Parquet, Airflow, Beam and Kafka is a plus.
  • On the job experience with .NET, C#, PHP or React.js is a plus.

At we understand and value diversity in our employees and are proud to be an Equal Opportunity Employer. We hire the best talent regardless of sex, national origin, disability, or race.

The above noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the incumbent a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change, so, too, may the essential functions of this position.
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