Cloud Data Solutions Engineer
hace 1 semana
Kimberly-Clark is a leading global healthcare and hygiene company, dedicated to providing innovative solutions that make life better for people around the world. With over 150 years of market leadership, we're constantly exploring new ideas on how to achieve results.
Job Title: Cloud Data Solutions EngineerWe're seeking an experienced Cloud Data Solutions Engineer to join our team in Argentina-Buenos Aires. As a key member of our analytics team, you'll play a crucial role in designing and operationalizing enterprise data solutions on cloud platforms.
About the RoleThis is a fantastic opportunity for a developer passionate about leveraging cutting-edge technologies to create impactful digital products that connect with and serve our clients effectively. You'll work closely with cross-functional teams to deliver compelling and robust digital capabilities, products, and solutions that support our growth strategy.
Main Responsibilities:- Design and Operationalize Enterprise Data Solutions: Develop and implement scalable and secure data solutions on cloud platforms, ensuring they meet enterprise standards and requirements.
- 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.
- Build and Maintain High-Quality Data Pipelines: Develop robust 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: Develop and maintain comprehensive data inventories that catalog available data assets and their metadata.
- Bachelor's degree in management information systems/technology, Computer Science, Engineering, or related discipline. MBA or equivalent 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.
- 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.
The estimated annual salary for this role is $120,000-$180,000, depending on qualifications and location. We also offer a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.
Please note that the salary range is based on industry standards and may vary depending on individual circumstances.
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