200+ applicants

Company

Yahoo · 15 hours ago

Senior Software Dev Engineer - Backend/Data

United States

Full-time

Remote

Mid, Senior Level

$128K/yr - $267K/yr

4+ years exp

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Comp. & Benefits

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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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

JavaPythonNode.jsETL ToolsHadoopBig DataUnix (Linux)Shell ScriptingMapReduceHiveQLGITFlumeSqoopOozieAirflowMulti-threadingAWSGCPAzure

Required

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

Four years of related industry experience

Experience in back-end programming, like Java, JS, Python, Node.js and OOAD and ETL Tools

Experience with one of Database technologies (Ex: Vertica, Oracle, Netezza, 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 aptitude in multi-threading and concurrency concepts

Effective analytical, troubleshooting and problem-solving skills

Strong customer focus, ownership, urgency and drive

Benefits

Healthcare

401K savings plan

Company holidays

Vacation

Sick time

Parental leave

Employee assistance program

Company

Yahoo

Glassdoor

4.0

Yahoo is a technology and media company that serves users through its portfolio of digital platforms, products, and services. It is a sub-organization of Verizon Media.

Founded in 1994

Sunnyvale, California, USA

10001+ employees