Senior Data Engineer
hace 4 semanas
About the Role
We are seeking a highly skilled Cloud Data Engineer to join our team at Kimberly-Clark. As a Cloud Data Engineer, you will play a crucial role in designing and operationalizing transformational enterprise data solutions on Cloud Platforms.
Key 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 to generate insights from connected data
- 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
- 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
- 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
- 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
Preferred Qualifications
- Bachelor's degree in management information systems/technology, Computer Science, Engineering, or related discipline. MBA or equivalent is preferred.
- 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.
About Kimberly-Clark
Kimberly-Clark is a leading global healthcare and hygiene company with a rich history of innovation and commitment to making a difference in the lives of people around the world. We are dedicated to delivering better care for a better world, and we are seeking talented individuals like you to join our team.
What We Offer
- Great support for good health with medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions.
- Access to an on-site fitness center, occupational health nurse, and allowances for high-quality safety equipment.
- Flexible Savings and spending accounts to maximize health care options and stretch dollars when caring for yourself or dependents.
- Diverse income protection insurance options to protect yourself and your family in case of illness, injury, or other unexpected events.
- 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 talented individual who is passionate about data engineering and analytics, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you
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