Software Dev Engineer II - Backend/Data

It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world.

The Software Dev Engineer II - Backend/Data will analyze, design, program, debug and modify software enhancements and/or new products. Lead development of data warehouse designs with our team of Big Data engineers.Work in an agile Scrum driven environment to deliver new and innovative products. Duties include designing applications, writing code, developing and testing and debugging and documenting work and results.  Keep up-to-date with relevant technology in order to maintain and improve functionality for authored applications.

Responsibilities:

• Design and implement reusable frameworks, libraries and Java components, product features in collaboration with business and IT stakeholders

• Ingest data from various structured and unstructured data sources into Hadoop and other distributed Big Data systems

• Support the sustainment and delivery of an automated ETL pipeline and Validate data that is extracted from sources like HDFS, databases, and other repositories using scripts and other automated capabilities, logs, and queries

• Enrich and transform extracted data, as required. Monitor and report the data flow through the ETL process  

• Perform data extractions, data purges, or data fixes in accordance with current internal procedures and policies

• Track development and operational support via user stories and decomposed technical tasks in a provided issue tracking software, including GIT, Maven, and JIRA

• Troubleshooting production support issues post-deployment and come up with solutions as required

• Mentor junior engineers within the team for development

Requirements:

• B.S. or M.S. in Computer Science (or equivalent experience)

• Three years of related industry experience

• Experience in back-end programming, like Java, JS, Python and ETL Tools

• Experience with any one of the Database technologies (Ex: Vertica, Oracle, MySQL, BigQuery)

• Experience of working with large scale databases

• Knowledge and experience of Unix (Linux) Platforms and Shell Scripting

• Experience in writing Pig Latin scripts, MapReduce jobs, HiveQL etc.

• Good knowledge of database structures, theories, principles, and practices

• Familiarity with data loading tools like Flume, Sqoop

• Knowledge of workflow/schedulers like Oozie, Airflow

• Analytical and problem solving skills, applied to Big Data domain

• Proven understanding with Hadoop(Dataproc), HBase, Hive, Pig

• Knowledge of Cloud providers like AWS, GCP, Azure

• Writing high-performance, reliable and maintainable code

• Expertise in version control tools like GIT

• Good to have AI/ML experience

• Good aptitude in multi-threading and concurrency concepts

• Effective analytical, troubleshooting and problem-solving skills

• Strong customer focus, ownership, urgency and drive

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!