Data Engineer

hace 2 semanas

Buenos Aires, 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, integrating Azure services and Snowflake technology, and building and maintaining high-quality data pipelines for analytic solutions.

Key Responsibilities
  • Design and operationalize enterprise data solutions on cloud platforms, ensuring they meet enterprise standards and requirements.
  • Integrate Azure services, Snowflake technology, and other third-party data technologies to create a cohesive data ecosystem.
  • Build and maintain high-quality data pipelines that automate the extraction, transformation, and loading (ETL) of data from various sources into a centralized data warehouse or lake.
  • Manage and create data inventories for analytics and APIs to be consumed.
Requirements
  • Bachelor's degree in management information systems/technology, Computer Science, Engineering, or related discipline.
  • Minimum 5+ 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.
  • 2+ 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.
  • 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 hands-on experience designing, building, and operationalizing data solutions and applications using cloud data and analytics services in combination with 3rd parties.
  • 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
  • 5+ years of experience with database development and scripting.
  • Proficiency in creating data products that support analytic solutions, working with APIs, and understanding data structures to serve them.
  • Proficiency in programming languages such as SQL, NoSQL, Python, Java, R, and Scala.
  • 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.
  • Basic understanding of machine learning concepts to support data scientists on the team.
  • Basic understanding with big data tools such as Hadoop, MongoDB, and Kafka.
What We Offer

At Kimberly-Clark, 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 for continuing education, adopting a child, relocating, or finding temporary childcare.

We are an equal opportunity employer and welcome applications from diverse candidates. If you are a motivated and experienced Data Engineer looking for a new challenge, please submit your application.

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