.At Clorox, we champion people to be well and thrive by doing the right thing, putting people at the center, and playing to win. Led by our IGNITE strategy, we build brands that make a positive difference in people's lives around the world. And we know that success requires head, heart, AND guts — all three, every day — coming together to work simpler, faster, bolder, and more inclusively. Interested? Join us toIgniteYourCareer!Your role at Clorox:Clorox's Enterprise Data Strategy and Operations team is seeking a talented Data Engineer to work in our Data Engineering squad and perform the Data & Analytics pipeline development work that will equip, enable, and empower our business with high-value enterprise data assets.We are looking for a Data Engineer, who is responsible for ensuring the availability and quality of data needed for analysis and business transactions. This includes data integration with, acquisition, cleansing, harmonization and transforming raw data into curated datasets for data science, data discovery, and BI/analytics. Responsible for developing, constructing, testing, and maintaining data sets and scalable data processing systems. Plays a critical role in creating and analyzing deliverables to provide critical content to enable fact-based decision making, facilitation and achieving successful collaboration with the supported stakeholders and have aligned relationships to drive business results and delivery of projects. Works very closely with different stakeholder teams to develop and maintain business process artifacts and aid project discovery as well as delivering the project to support and ensure supportability. Analyzes, designs, and develops best practice business changes through technology solutions.In this role, you will:- Design and build data pipelines to schedule & orchestrate a variety of tasks such as extracting, cleanse, transforming, enrich & loading data as per the business needs.- Build the infrastructure required for optimal ETL/ELT of data from a wide variety of data sources using SQL and Azure, GCP 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into various KPI metrics.- Developing and maintaining complex data ETL/ELT Pipelines, data models and standards for various data Integration & data warehousing projects from source to sinks- Develop scalable, secure, and optimized data transformation pipelines and integrate them with downstream sinks- Work with DataOps team for code migration and continuous improvements- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.- Work with Senior Data Engineers, onsite/offshore data engineers and data analysts- Work with architecture and data governance teams to create solution designs and engage in data roadmap