Data Engineer - Sales Ops (Buenos Aires)
Kimberly-Clark Ver todas las vacantes
- Buenos Aires
- Permanente
- Tiempo completo
- ** Integrate Azure services, Snowflake technology, and other third-party data technologies**: Seamlessly integrate various data technologies, including Azure services, Snowflake, and other third-party tools, to create a cohesive data ecosystem. This involves configuring data connectors, ensuring data flow consistency, and managing dependencies between different systems.
- ** Build and maintain high-quality data pipelines for analytic solutions**: Develop robust data pipelines that automate the extraction, transformation, and loading (ETL) of data from various sources into a centralized data warehouse or lake. Ensure these pipelines are efficient, reliable, and capable of handling large volumes of data.
- ** Collaborate with a multidisciplinary agile team** to generate insights from connected data Work closely with data scientists, analysts, and other team members in an agile environment to translate business requirements into technical solutions. Participate in sprint planning, stand-ups, and retrospectives to ensure timely delivery of data products.
- ** Manage and create data inventories for analytics and APIs to be consumed**: Develop and maintain comprehensive data inventories that catalog available data assets and their metadata. Ensure these inventories are accessible and usable by various stakeholders, including through APIs that facilitate data consumption.
- ** Design data integrations with internal and external products**: Architect and implement data integration solutions that enable seamless data exchange between internal systems and external partners or products. This includes ensuring data integrity, security, and compliance with relevant standards.
- ** Build data visualizations to support analytic insights**: Create intuitive and insightful data visualizations using tools like PowerBI to help stakeholders understand complex data sets and derive actionable insights. This involves designing dashboards, reports, and interactive visualizations that effectively communicate key metrics and trends.**Key Qualifications and Experiences**:- 5+ years of experience tailoring, configuring, and crafting solutions within the Snowflake environment, including a profound grasp of Snowflake's data warehousing capabilities, data architecture, SQL optimization for Snowflake, and leveraging Snowflake's unique features such as Snowpipe, Streams, and Tasks for real-time data processing and analytics. A strong foundation in data migration strategies, performance tuning, and securing data within the Snowflake ecosystem is biessential.
- 3+ years demonstrated expertise in architecting solutions within the Snowflake ecosystem, adhering to best practices in data archite
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