Job Description
Realize your potential by joining the leading performance-driven advertising company!
As a Data Engineer on the IT production team in our TLV Office, you’ll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary Taboola is the place for you.
To Thrive In This Role, You’ll Need
Experience working as a Data Engineer/DBADeep understanding of performance tuning techniques for relational databases, preferably MySQL/VerticaGood understanding of infrastructure components, storage, networking and server hardwareExperience working with scripting/programming languages like Bash, Perl or PythonAbility to programmatically build tools that will help the team with its day-to-day tasksSelf motivated, eager to learn, loves challengesAble to work independentlyExcellent English
It Would Be Great If You Also Have:
In-depth Linux system knowledgeVertica/HBase/Cassandra/Elastic ExperienceHands-on experience with NoSQL databasesWorking experience with queuing systems, preferably KafkaExperience in web facing environments
How you’ll make an impact as a data engineer
Advise on the optimal database design by analyzing application behavior and business requirementsDesign data flow processesWork with AI at scale on developing high impact solutionsProactively monitor and optimize database queries, processes, tables and resourcesInitiate and lead cross-group optimization processesWrite utilities and design dashboards that will help us maintain, monitor and optimize the Taboola production database environment and data pipelineDevelop automation tools for large cluster maintenanceFace challenges such as scale, visibility and automationBe involved in both development and infrastructure projects
Our Tech Stack:
Vertica, MySQL, Hbase, HDFS, Kafka, Spark, Cassandra, BigQuery, Iceberg, ElasticSearch, Grafana
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