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Key job responsibilities
• Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions
• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions
• Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem
• Design data schema and operate internal data warehouses and SQL/NoSQL database systems
• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources
• Monitor and troubleshoot operational or data issues in the data pipelines
- Experience in data engineering
- 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 data visualization software (e.g., AWS QuickSight or Tableau) or open-source project
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