Data Engineer - Marketing
NO KC SITE - ARGENTINA, Argentina
Kimberly-Clark
Kimberly-Clark (NYSE: KMB) and its trusted brands are an indispensable part of life for people in more than 175 countries. Fueled by ingenuity, creativity, and an understanding of people’s most essential needs, we create products that help...Job Description
Your JobYou’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In your role, you’ll help us deliver better care for billions of people around the world. It starts with YOU.About UsHuggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you.At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark; you just need to log on!Led by Purpose. Driven by You.About YouYou’re driven to perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development.You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.Main responsibilities:- 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. This includes designing data architecture, selecting appropriate cloud services, and optimizing performance for data processing and storage.
- 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. This involves configuring data connectors, ensuring data flow consistency, and managing dependencies between different systems.
- 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. Ensure these pipelines are efficient, reliable, and capable of handling large volumes of data.
- Collaborate with a multidisciplinary agile team to generate insights from connected data Work closely with data scientists, analysts, and other team members in an agile environment to translate business requirements into technical solutions. Participate in sprint planning, stand-ups, and retrospectives to ensure timely delivery of data products.
- 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. Ensure these inventories are accessible and usable by various stakeholders, including through APIs that facilitate data consumption.
- Design data integrations with internal and external products: Architect and implement data integration solutions that enable seamless data exchange between internal systems and external partners or products. This includes ensuring data integrity, security, and compliance with relevant standards.
- Build data visualizations to support analytic insights: Create intuitive and insightful data visualizations using tools like PowerBI to help stakeholders understand complex data sets and derive actionable insights. This involves designing dashboards, reports, and interactive visualizations that effectively communicate key metrics and trends.
- Bachelor’s Degree in Management Information Systems/Technology, Computer Science, Engineering, or related discipline. MBA or equivalent is preferred.
- Minimum 7+ 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.
- 7+ years of data engineering or design experience, designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting.
- 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 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. A strong foundation in data migration strategies, performance tuning, and securing data within the Snowflake ecosystem is essential.
- 1-3+ years demonstrated expertise in architecting solutions within the Snowflake ecosystem, adhering to best practices in data architecture and design patterns.
- 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.
- 7+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
- 7+ years of experience with database development and scripting.
- Expertise in Amazon Marketing Cloud (AMC) integration and data analysis for marketing insights and campaign performance tracking.
Primary Location
NO KC SITE - ARGENTINAAdditional Locations
IT Centre Bengaluru GDTC, Sao Paulo OfficeWorker Type
EmployeeWorker Sub-Type
RegularTime Type
Full time* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Azure Classification Computer Science Data analysis Data Analytics Data pipelines Data warehouse Data Warehousing Engineering ETL NoSQL Pipelines Power BI RDBMS Security Snowflake SQL
Perks/benefits: Career development Flex hours Health care Insurance Relocation support Startup environment Team events
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