Business Intelligence Data Engineer

Machines that Move Us.
People who Inspire Us.
Stories that Drive Us.

 

About Us

MotorTrend Group is the largest automotive media company in the world.  MotorTrend Group, a Warner Bros. Discovery company, is the largest automotive media company in the world, bringing together MotorTrend TV and a vast automotive digital, direct-to-consumer, social, and live event portfolio, including MOTORTREND, HOT ROD, ROADKILL, AUTOMOBILE and more than 20 other industry-leading brands. With a monthly audience of 26 million across web, TV and print, and 110 million social followers, culminating in 1.3 billion monthly impressions across all platforms, MotorTrend Group encompasses television’s #1 network for automotive fans, a leading automotive YouTube Channel and MotorTrend+, the only subscription streaming service dedicated entirely to the motoring world. MotorTrend Group serves to embrace, entertain and empower the motoring world.

An institution in the automotive industry, we have been delivering premium content, in depth analysis, and culturally relevant material since 1949. We celebrate our heritage, while boldly looking to the future — reimagining motor entertainment for a broader, more diverse audience.  MotorTrend Group has remained ahead of the automotive world and developed the single most relevant resource for any auto enthusiast and in-market shopper. 

 

Have a look at what we do!  https://bit.ly/motortrendintro

 

Our People

The people who work at MotorTrend embody the passion of our content, and wake up every day intent on embracing, entertaining, and empowering the motoring world. 

 

The Role

Employer: Motor Trend Group, LLC

Job Title: Business Intelligence Data Engineer

Job Location: 2004 Park Place, Suite K, El Segundo, CA 90245

Job Type: Full-time, 40 hours a week, Monday – Friday

 

Duties: Collaborate with product teams and data analysts to design and build data-forward solutions. Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably. Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices. Build and maintain dimensional data warehouses in support of business intelligence tools. Develop data catalogs and data validations to ensure clarity and correctness of key business metrics. Drive and maintain a culture of quality, innovation and experimentation. Deliver strong Python and SQL development and maintenance techniques surrounding data movement to include technologies. Investigate and understand different data sources and ability to connect to a wide variety of 3rd party APIs. Design, enhance and implement ETL/data ingestion platform on the cloud. Development of ETL source and target mapping design/specifications based on the business requirements. Create ETLs/ELTs to take data from various operational systems and create a unified/enterprise data model for analytics and reporting. Develop load and transformation processes in support of the requirements, validate that they meet business and technical specifications, manage ongoing maintenance of the system and data, and make recommendations for process improvements to optimize data movement from source to target. Provide production and operational support to existing ETL jobs. Monitor and manage production ETL jobs to verify execution and measure performance to assure ongoing data quality and optimization of the system to manage scalability and performance and identify improvement opportunities for key ETL processes. Strong troubleshooting and problem-solving skills in large data environment. Capable of investigating, familiarizing and mastering new data sets quickly. Hybrid work from home permitted 3 days a week.

 

Requirements: Bachelor’s degree in Management Information Systems, Computer Science, Information Technology or closely related field of study and five (5) years of experience as a Technology Architect, Lead Technical Consultant, Programmer, Senior Executive, Programmer Analyst, Sr. Technical Architect, Technical Architect, or related role where experience was gained. Also requires at least 4 years of experience in the following:

 

• Scripting language using Python, Bash, Perl, or PHP to solve data problems;
• Relational SQL and NoSQL databases, including Postgres, Neo4j and/or MongoDb;
• Big Data tools such as Hadoop, Spark, Kafka, and/or py-spark;
• AWS cloud services such as EC2, EMR, RDS, S3, Redshift (spectrum) and/or Athena;
• Data exchange types and protocols such as json, xml, soap and rest;
• Stream Processing