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Key job responsibilities
1. Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources
2. Design data schema and operate internal data warehouses and SQL/NoSQL database systems
3. Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions
4. Monitor and troubleshoot operational or data issues in the data pipelines
5. Drive architectural plans and implementation for future data storage, reporting, and analytic solutions7. Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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