Senior Cloud Data Engineer

hace 2 días


Buenos Aires, Buenos Aires C.F., Argentina Kimberly-Clark Corporation A tiempo completo

About Kimberly-Clark Corporation

We are a leading global health and hygiene company that has been making life better for people around the world for 150 years. Our iconic brands, such as Huggies, Kleenex, and Kotex, are used by millions of people every day.

We are driven by our purpose to make a positive impact on society while delivering value to our customers and shareholders. Our talented team of professionals is passionate about innovation, growth, and impact, and we are committed to driving excellence in all aspects of our business.

Job Overview

This is an exciting opportunity to join our team as a Senior Data Engineer, where you will play a key role in designing and implementing enterprise data solutions on cloud platforms. As a member of our cross-functional analytics team, you will work closely with data scientists, analysts, and other team members to generate insights from connected data.

Responsibilities:

  • Design and operationalize enterprise data solutions on Cloud Platforms
  • Integrate Azure services, Snowflake technology, and other third-party data technologies
  • Build and maintain high-quality data pipelines for analytic solutions
  • Collaborate with a multidisciplinary agile team
  • Manage and create data inventories for analytics and APIs to be consumed
  • Design data integrations with internal and external products
  • Build data visualizations to support analytic insights

Requirements:

  • 5+ years of experience tailoring, configuring, and crafting solutions within the Snowflake environment
  • 3+ years demonstrated expertise in architecting solutions within the Snowflake ecosystem
  • 10+ years of data engineering or design experience
  • Expertise in data modeling principles/methods
  • 5+ years of hands-on experience designing, building, and operationalizing data solutions and applications
  • 10+ years of hands-on relational, dimensional, and/or analytic experience
  • 10+ years of experience with database development and scripting
  • Deep understanding of data architecture, data engineering, data warehousing, data analysis, reporting, and data science techniques and workflows
  • Skilled in creating data products that support analytic solutions
  • Proficiency in working with APIs and understanding data structures to serve them
  • Experience with Object-Relational Mapping (ORM) frameworks
  • Knowledge of managing sensitive data, ensuring data privacy and security
  • Expertise in data visualization tools, specifically PowerBI
  • Strong problem-solving skills and ability to work as part of a technical, cross-functional analytics team
  • Experience with relational and non-relational databases (NoSQL, graph databases, etc.)
  • Agile learner with a passion for solving complex data problems and delivering insights
  • Proficiency in programming languages such as SQL, NoSQL, Python, Java, R, and Scala
  • Familiarity with relational and non-relational databases, including GraphQL and MongoDB
  • Experience with ETL (extract, transform, and load) systems and API integrations
  • Understanding of data storage solutions, knowing when to use a data lake versus a data warehouse
  • Ability to write scripts for automation and repetitive task management
  • Basic understanding of machine learning concepts to support data scientists on the team
  • Proficiency with big data tools such as Hadoop, MongoDB, and Kafka
  • Knowledge of cloud computing, including cloud storage, product portfolios, and pricing models (Azure)
  • Experience in data security, ensuring data is securely managed and stored to protect it from loss or theft while maintaining compliance
  • Bachelor's degree in management information systems/technology, Computer Science, Engineering, or related discipline. MBA or equivalent is preferred.
  • Minimum 10+ 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.

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