Data Engineer

hace 2 días

Córdoba, Córdoba, Argentina Kimberly-Clark A tiempo completo
About the Role

We are seeking a highly skilled Data Engineer to join our team at Kimberly-Clark. As a Data Engineer, you will be responsible for designing and operationalizing enterprise data solutions on cloud platforms, ensuring they meet enterprise standards and requirements.

Key Responsibilities
  • Design and implement scalable and secure data solutions on cloud platforms, including designing data architecture, selecting appropriate cloud services, and optimizing performance for data processing and storage.
  • Integrate Azure services, Snowflake technology, and other third-party data technologies to create a cohesive data ecosystem.
  • Build and maintain high-quality data pipelines for analytic solutions, ensuring they are efficient, reliable, and capable of handling large volumes of data.
  • Collaborate with a multidisciplinary agile team to generate insights from connected data, participating 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, ensuring they are accessible and usable by various stakeholders.
  • Design data integrations with internal and external products, ensuring data integrity, security, and compliance with relevant standards.
  • Build data visualizations to support analytic insights, creating intuitive and insightful data visualizations using tools like PowerBI.
Requirements
  • Bachelor's Degree in Management Information Systems/Technology, Computer Science, Engineering, or related discipline. MBA or equivalent is preferred.
  • Minimum 7+ years of experience in designing large-scale data solutions, performing design assessments, crafting design options and analysis, finalizing preferred solution choice working with IT and Business stakeholders.
  • 7+ years of data engineering or design experience, designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting.
  • Expertise in data modeling principles/methods including, Conceptual, Logical & Physical Data Models for data warehouses, data lakes and/or database management systems.
  • 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.
  • 1-3+ years demonstrated expertise in architecting solutions within the Snowflake ecosystem, adhering to best practices in data architecture and design patterns.
  • 5+ years of hands-on experience designing, building, and operationalizing data solutions and applications using cloud data and analytics services in combination with 3rd parties.
  • 7+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
  • 7+ years of experience with database development and scripting.
  • Expertise in Amazon Marketing Cloud (AMC) integration and data analysis for marketing insights and campaign performance tracking.
About Kimberly-Clark

Kimberly-Clark is a leading global consumer goods company that creates essential products for everyday life. We are committed to making a positive impact on the world around us, and we are seeking talented individuals to join our team.

Benefits

We offer a comprehensive benefits package, including medical, dental, and vision coverage options, flexible savings and spending accounts, diverse income protection insurance options, and additional programs and support to continue your education, adopt a child, relocate, or even find temporary childcare.

How to Apply

If you are a motivated and experienced Data Engineer looking for a new challenge, please click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.

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