Senior Data Engineer

Description

It is mandatory to apply with a Cv in English Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional® At Kimberly-Clark, it’s all here for you—innovation, growth, and the chance to make a real impact. You were made to create Better Care for a Better World: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. Here, you’ll work in an environment that promotes sustainability, inclusion, wellbeing, and career development while you help us deliver better care for billions of people around the world. It starts with YOU. About You In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. Work with Technical architects, Product Owners, and Business teams to translate requirements into technical design for data modelling and data integration.

Demonstrate deep background in data warehousing, data modelling and ETL/ELT data processing patterns

Design and develop ETL/ELT pipelines with reusable patterns and frameworks

Design and build efficient SQLs to process and curate the data sets in HANA, Azure, and Snowflake

Design and review data ingestion frameworks leveraging Python, Spark, Azure Data Factory, Snowpipe, etc.,

Design and build Data Quality models and ABCR frameworks to ingest, validate, curate, and prepare the data for consumption

Understand the functional domain, business needs and able to identify the gaps in the requirements proactively prior to implementing solutions

Work with platform teams to design and build processes for automation in pipeline build, testing and code migrations.

Collaborate with Data Scientists to build and maintain scalable pipelines in Azure Data Factory and Databricks that support AI/ML modelling and model training workflows.

Support the integration of Generative AI by building robust pipelines for high-quality training data and implementing vector databases to power Retrieval-Augmented Generation (RAG) workflows.

Demonstrate exceptional impact in delivering projects, products and/or platforms in terms of scalable data processing and application architectures, technical deliverables, and delivery throughout the project lifecycle.

Provide design and guiding principles on building data models and semantic models in Snowflake – enabling true self-service

Responsible for ensuring the effectiveness of the ingestion and data delivery frameworks and patterns.

Build and maintain data development standards and principles, provide guidance and project specific recommendations as appropriate

Must be conversant with DevOps delivery approach and tools and have a track record of delivering products in agile model.

Provide insight and direction on roles and responsibilities required for platform/ product operations

To succeed in this role, you will need the following qualifications: Required Qualifications 5+ years of experience designing, developing, and building ETL/ELT pipelines, procedures, and SQLs on MPP platforms such as HANA and Snowflake

5+ years of experience in Data warehousing and Business Intelligence.

Experience in Data Warehousing concepts like Star schema, Snowflake schema, Fact table and Dimension Table.

Experience in using various features of ADF to load data into snowflake.

Experience in designing and building metadata driven data ingestion frameworks, building Azure Data Factory, SnowSQL, Snowpipe – as well as building mini-batch, real-time and event-driven data processing jobs

Hands-on experience with Azure

Familiarity in leveraging Azure Stream Analytics, Azure Analysis Services, Data Lake Analytics, HDInsight, HDP, Spark, Databricks, MapReduce, Pig, Hive, Tez, SSAS, Watson Analytics, SPSS.

Strong Knowledge on source code management, configuration management, CI/CD, security, and performance.

Ability to look ahead to identify opportunities and thrive in a culture of innovation

Self-starter who can see the big picture, and prioritize your work to make the largest impact on the business’ and customer’s vision and requirements

Experience in building, testing, and deploying code to run on Azure cloud data lake

Ability to Lead/nurture/mentor others in the team.

A can-do attitude in anticipating and resolving problems to help your team to achieve its goals.

Must have experience in Agile development methods

Preferred Qualifications Foundational understanding of AI/ML modelling concepts and experience integrating data with Azure Machine Learning services for model deployment and tracking.

Foundational understanding of GenAI concepts, including the data requirements for Large Language Models (LLMs) and basic familiarity with Azure OpenAI Service

Knowledge of Change Data Capture on both Source and Target, and implementation of the SCD (Slowly changing Dimension) Type 1, Type 2, and Type 3.

Experience in modelling data warehouse in Snowflake.

Experience in Azure logic apps and power automate.

Proficient in distributed computing principles, modular application architecture, and various types of data processing patterns – real-time, batch, lambda, and other architectures

Experience with a broad range of data stores - Object stores (Azure ADLS, HDFS, GCP Cloud Storage), Row and Columnar databases (Azure SQL DW, SQL Server, Snowflake, Teradata, PostgreSQL, Oracle), NoSQL databases (Cosmos DB, MongoDB, Cassandra), Elasticsearch, Redis, and Data processing platforms – Spark, Databricks, and SnowSQL

Led by Purpose. Driven by You. To Be Considered Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role. In the meantime, please check out the . And finally, the fine print….

For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world, which is why we seek to build a workforce that encompasses the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Employment is subject to verification of local policies. This role is available for local candidates already authorized to work in the role’s country only. Kimberly-Clark will not provide relocation support for this role. #LI-Hybrid Primary Location

Sao Paulo Office

Additional Locations

Buenos Aires - Olivos Office, IT Centre Bengaluru GDTC

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time