Analyst, Data Operations

Detalles de la oferta

About this roleOverview:We are looking for a high performing individual who is passionate about data to provide data pipeline support, operations and engineering across multiple data domains and data platforms. Initially you will proactively identify and resolve data pipeline issues to ensure high quality on time data for our clients. In addition, you will optimize pipeline performance and understand how our clients use their data.Key responsibilities:Monitor and manage data pipelines to ensure the timely and accurate flow of dataResolve quality checks alerts to ensure the accuracy, completeness, and consistency of dataMonitor and optimize data pipeline performance to meet and exceed established service level agreements (SLAs)Collaborate with data engineering, data stewards, data owner teams to implement improvements in data quality processes and data pipeline performance.Implement proactive measures to identify and resolve data issues automatically.Maintain comprehensive documentation of data operations processes, monitoring procedures, and issue resolution protocols.Ensure documentation and operating procedures are up to date to facilitate knowledge transfer and training.Knowledge and Experience:0-3 years' experience in hands-on data operations including data pipeline monitoring, support and engineering.Hands on technical experience including troubleshooting data processing, orchestration (Airflow), data ingestion, cloud-based databases/warehousing (Snowflake), and business intelligence tools.Passionate about data platforms, data quality and everything data.Excellent understanding of data quality assurance processes and methodologies.Experience monitoring and supporting data pipelines that are fast, scalable, reliable, and accurate.Understand clients' data requirements to meet client data operations needs.Strong analytical and problem-solving skills, with a keen attention to detail.Effective communication and collaboration abilities.Bachelor's degree in computer science, Engineering, Mathematics or Statistics.#J-18808-Ljbffr


Salario Nominal: A convenir

Fuente: Jobtome_Ppc

Requisitos

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