Data Engineer Position

hace 2 semanas

Partido de Vicente López, 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 implementing enterprise-level data solutions on cloud platforms. Your expertise in data architecture, cloud services, and data integration will play a key role in helping us deliver better care for billions of people around the world.

Main Responsibilities

  1. Design and operationalize enterprise data solutions on Cloud Platforms: Develop and implement scalable and secure data solutions on cloud platforms, ensuring they meet enterprise standards and requirements.
  2. 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.
  3. 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.
  4. 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.

Key Qualifications and Experiences

  1. Bachelor's degree in management information systems/technology, Computer Science, Engineering, or related discipline. MBA or equivalent is preferred.
  2. 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.
  3. 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.
  4. Expertise in data modeling principles/methods including, Conceptual, Logical & Physical Data Models for data warehouses, data lakes and/or database management systems.
  5. 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.
  6. 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
  7. 5+ years of experience with database development and scripting.
  8. Skilled in creating data products that support analytic solutions.
  9. Proficiency in working with APIs and understanding data structures to serve them.
  10. Proficiency in programming languages such as SQL, NoSQL, Python, Java, R, and Scala.
  11. Experience with ETL (extract, transform, and load) systems and API integrations.
  12. Understanding of data storage solutions, knowing when to use a data lake versus a data warehouse.
  13. Basic understanding of machine learning concepts to support data scientists on the team.
  14. Basic understanding with big data tools such as Hadoop, MongoDB, and Kafka.

Total Benefits

We offer a comprehensive benefits package that includes medical, dental, and vision coverage options, flexible savings and spending accounts, diverse income protection insurance options, and additional programs and support for education, adoption, relocation, and childcare.

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