Senior Software Engineer (Data)

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

 

 

A Little About Us: 

Yahoo’s Marketing Enablement team vision is to engage consumers with personalized, relevant and timely experiences that improve engagement with Yahoo core offerings and adoption of paid offerings. Empower marketers to create and optimize campaigns with velocity and autonomy, enabled by robust segmentation capabilities and cross channel performance reporting.  We provide user activity data, user segments and profiles to the downstream systems for campaign targeting and optimization in both realtime and batch modes at Yahoo scale.

 

This is all to create the most relevant end-to-end experiences and offers for consumers across the ecosystem and partner ad platforms, while driving the most value/yield for the business. An increase in engagement through personalization, right offer/content at the right time, and great consumer experience should drive lift in all of our goals including user engagement & acquisition, subscription numbers and revenue.

 

Responsibilities:

  • Design, build and launch efficient & reliable data pipelines to move and transform data at scale.
  • Build real time data ingestion pipelines that are capable of processing 100s of thousands of events per second.

 

  • Interact with data analysts, product owners/managers and other engineers to understand business problems, technical requirements to deliver data solutions..
  • Deliver data with highest quality through rigorous checks.
  • Have excellent data modeling skills to understand the nuances of various dimension and metric types in the warehouse.
  • Design workflows to ingest, load, present and publish new data sets for various use cases.
  • Lead data investigations to troubleshoot data issues and drive resolution.

 

 

Required Skills and Qualifications

  • BS/MS in Computer Science or a related major, or equivalent experience
  • 5+ years of Java and/or Python development experience
  • 3+ years experience in ETL design using Big Data stack environments (Hadoop, MapReduce, Pig, Hive, Oozie, Apache Beam, Airflow, etc.), implementation and maintenance.

 

Other Jobs You May Be Interested In

  • Experience with Google Cloud Platform (BigQuery, Dataproc, Composer, Dataflow, GCS, etc.)
  • Experience or familiarity with real time processing tools : Kafka, PubSub, Storm, Spark streaming.
  • Experience with schema design and dimensional data modeling..
  • Comfortable at writing complex sql queries.
  • Strong data mindset with a deep appreciation for analyzing data to identify product gaps and enhancements to improve and maintain data quality.
  • Excellent communication and problem-solving skills. Takes initiative and is a team player.

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